A method for monitoring subterranean hydrocarbon storage sites includes simulating a seismic experiment using a baseline model. The method also includes perturbing the baseline model to produce one or more perturbed baseline models. The method also includes selecting a plurality of candidate acquisition geometries to probe the one or more perturbed baseline models. The method also includes extracting a set of simulated data from the simulated seismic experiment that corresponds to the plurality of candidate acquisition geometries. The method also includes executing a model probing exercise for the extracted set of simulated data for each candidate acquisition geometry and each of the one or more perturbed baseline models.
A method for extracting thermal energy from a geothermal reservoir having one or more features extending through the geothermal reservoir includes analyzing subsurface data to determine a measured depth of a feature of the one or more that intersects a production well, running a downhole tool along the production well to a location corresponding to the measured depth of the feature, and performing an intervention at the location using the downhole tool, wherein the intervention includes injecting a reactive solution into the feature, wherein the reactive solution is configured to penetrate the feature to a desired depth and according to a desired pattern based on an injection rate of the reactive solution into the feature and a reaction rate of the reactive solution with the feature.
A method can include acquiring data during operation of a fluid production system generating fluid products, where the data include pressure data, temperature data, and fluid flow data; responsive to identification of one or more fluid flow data issues, generating synthetic fluid flow data utilizing at least a portion of the pressure data and at least a portion of the temperature data as inputs to a flow meter model; controlling a remote simulation engine of a computational framework to, using at least a portion of the data, generate simulation results as to fluid composition within the fluid production system; and determining composition and volume of the fluid products based at least in part on the simulation results.
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
A split housing connector assembly for a wellhead housing includes a housing portion, a connector portion, and multiple fasteners configured to couple the housing portion and the connector portion to one another. The connector portion includes at least one tapered portion to enable the multiple fasteners to be within an outer diameter of the connector portion while the multiple fasteners couple the housing portion and the connector portion to one another.
A method for generating a single-upscaled permeability model for a subsurface is disclosed. The method includes receiving input data including field-derived discrete fracture network (DFN) data and a subsurface model. The method also includes generating a synthetic driver-based DFN based upon the field-derived DFN data. The method further includes generating the single-upscaled permeability model using the subsurface model and the synthetic driver-based DFN.
E21B 43/267 - Methods for stimulating production by forming crevices or fractures reinforcing fractures by propping
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
6.
AI-ASSISTED STRATIGRAPHIC MODELING AND GEOSTEERING UTILIZING GAMMA RAY MEASUREMENTS
A method for modeling a subsurface region using Artificial Intelligence (AI), including: drilling of at least one reference well into a subsurface region, initializing a first stratigraphic model of the subsurface region, initializing a first gramma ray model, receiving first gamma ray measurements from a gamma ray sensor coupled to a first tool of a first drill string traversing the subsurface region during the drilling of an additional well, determining that a first difference between the first gamma ray model and the received first gamma ray measurements exceeds an error threshold, updating the first stratigraphic model based on the first difference, updating the first gamma ray model, and outputting the updated first stratigraphic model and the updated first gamma ray model.
G01V 5/12 - Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays using gamma- or X-ray sources
7.
SPEEDING UP PVT FLASH CALCULATIONS IN BASIN MODELING WITH MACHINE LEARNING
Disclosed are methods and systems directed to: determining a flash model including a phase state sub-model, a K-values sub-model, and a critical point sub-model; generating, based on the phase state sub-model, the K-values sub-model, and the critical point sub-model: a first training dataset including first feature data and first label data for the phase state sub-model; a second training dataset including second feature data and second label data for the phase state sub-model; and a third training dataset including third feature data and third label data for the phase state sub-model. Furthermore, the method comprises: configuring, using the training data, the phase state sub-model, the K-values sub-model, and the critical point sub-model to generate a configured flash model; and executing, using the configured flash model, a flash computation, wherein the flash computation quantitatively and/or qualitatively specifies fluid component amount data associated with the subsurface of the resource site.
A seal assembly of a rotating control device (RCD) includes an interior chamber isolated from an external portion of the RCD and configured to store compensation fluid. The seal assembly also includes a path coupled to the interior chamber. The seal assembly further includes a seal chamber coupled to the path. The seal assembly additionally includes a seal element disposed in the seal chamber and configured to form an annular seal about a tubular as the tubular rotates, moves axially, or both.
A system for managing and tracking digital images of drill cuttings includes at least one networked database configured to store the digital images. A supplier portal is configured to enable a supplier to upload the digital images into the database and a customer portal is configured to provide customer access to selected ones of the digital images in the database. A networked blockchain ledger is in communication with the database, the supplier portal, and the customer portal. The blockchain ledger is configured to initiate a smart chain contract for each of the digital images, record customer access events within each smart chain contract for each of the digital images, and create a micro invoice including charges related to the recorded customer access events.
G06F 16/535 - Filtering based on additional data, e.g. user or group profiles
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
Apparatuses, systems, and methods can include a processing resource and a memory device storing instructions executable by the processing resource. The instructions can include hosting a plurality of domains and registering a plurality of components and/or microservices from the plurality of domains. In addition, the instructions can include locating a plurality of components and/or microservices from the plurality of domains, access one or more components and/or microservices from one or more domains, combining the one or more components and/or microservices on a page to create a personalized page, and deploy the personalized page. In some examples, a user deploys and operates the personalized page.
A method for extracting thermal energy from a geothermal reservoir having at least two features includes analyzing subsurface data to determine a first location of a first feature of the at least two features and a second location of a second features of the at least two features. The method further includes analyzing the subsurface data to identify first characteristics of the first feature and second characteristics of the second feature, performing a first intervention at the first location, wherein the first intervention is configured to limit fluid flow into and out of the first feature, and performing a second intervention at the second location, wherein the second intervention is configured to increase a flow rate of geothermal fluid from the second feature into a production well.
A choke system for oilfield operations including an actuator; a choke including: a housing defining an interior flow path; a choke plunger coupled to and movable by the actuator; and a choking member coupled to and movable by the choke plunger within the interior flow path to adjust a pressure of a fluid in the interior flow path; a sensor external to the choke, the sensor configured to measure an actuator parameter; and a control system configured to control the pressure of the fluid by: determining the pressure of the fluid based on the actuator parameter measured by the sensor, and wherein the actuator parameter is proportional to the pressure of the fluid; and actuating the actuator to cause the choking member to move within the interior flow path until the pressure of the fluid reaches a desired pressure.
A method including deploying a formation testing tool in a borehole, actuating first and second packers of the formation testing tool in the borehole, obtaining measurements in response to actuation of the first and second packers of the formation testing tool in the borehole, and analyzing the measurements to estimate at least a shear modulus (G) of a geological formation surrounding the borehole.
E21B 49/10 - Obtaining fluid samples or testing fluids, in boreholes or wells using side-wall fluid samplers or testers
E21B 49/02 - Testing the nature of borehole wallsFormation testingMethods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells by mechanically taking samples of the soil
E21B 33/124 - Units with longitudinally-spaced plugs for isolating the intermediate space
The present disclosure relates to a shaped charge liner. The shaped charge liner includes a first liner portion formed a first material. The first liner portion has an apex and a skirt section that define an interior volume of the first liner portion. The shaped charge liner also includes a second liner portion formed of a second material. The second liner portion is coupled to the first liner portion such that the second liner portion is an edge of the interior volume.
A method of storing carbon dioxide in an earth formation includes drilling a borehole extending into the earth formation including a subterranean formation with a drilling fluid including one or more additives that aid carbon storage. The method includes forming a filtercake on surfaces of the earth formation, the filtercake including the fluid loss material and the one or more additives, after drilling the borehole, pumping an injection fluid into the earth formation, releasing the one or more additives from the filtercake with the injection fluid, and introducing the one or more additives and the injection fluid into the subterranean reservoir. Related methods of storing carbon dioxide in an earth formation, and related wellbore fluids are also disclosed.
A method can include generating a pill blend recommendation based at least in part on formation characteristics to mitigate formation loss of drilling fluid during drilling of a borehole, where the pill blend recommendation specifies a particle size distribution determined by a framework that relates historical pill blends and mitigation success; and, responsive to an indication of formation loss of drilling fluid during the drilling of the borehole, issuing an instruction to pump a pill blend formulated according to the pill blend recommendation.
The invention relates to a method for manufacturing at least one interconnector (1) for solid oxide electrochemical devices, referred to as ISO (1), referred to as the method. The method includes: compressing (7) a stack (2) comprising at least two machined metal sheets (3) in contact with one another; and, at the same time as the pressure is applied, heating the stack to a temperature of between 700°C and 1200°C. The compressing includes applying a pressure greater than or equal to 4 bar. The at least two metal sheets are machined and arranged such that, after manufacture, the ISO is formed. The pressure is applied perpendicularly to the at least two sheets.
B32B 15/01 - Layered products essentially comprising metal all layers being exclusively metallic
B23K 20/02 - Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating by means of a press
A system includes a first tool including first control circuitry, wherein the first tool is configured to perform a first operation within a borehole, and a second tool including second control circuitry, wherein the second tool is configured to perform a second operation within the borehole, and wherein the first control circuitry is configured to communicate with the second control circuitry via Ethernet.
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
A method can include defining an input domain for each of multiple tasks of a seismic imaging workflow to define multiple input domains for seismic data; generating multiple samples from the input domain for each of the multiple tasks; clustering the multiple samples from the multiple input domains to generate input domain clusters; assigning a number of the input domain clusters to each of the multiple tasks, where one or more of the input domain clusters are shared by more than one of the multiple tasks; clustering the multiple tasks, based on a sharing network of the input domain clusters, to generate clusters of the multiple tasks; and ordering the clusters of the multiple tasks to generate an order.
A rotating control device includes a drive guide element, a bearing housing, a rotary seal housing including a plurality of rotary seals surrounding the drive guide element and limiting ingress of a working fluid flowing into the bearing housing, a seal sleeve positioned between the plurality of rotary seals and the drive guide element, a plurality of feed lines containing a pressure compensation fluid, and a plurality of features that cooperates with the plurality of rotary seals. As the drive guide element and the seal sleeve rotate about a tubular, the plurality of features pushes the pressure compensation fluid across a face of a corresponding rotary seal, provides a backpressure against the corresponding rotary seal to reduce a differential pressure across the corresponding rotary seal, or both.
A system including a casing hanger; a wellhead housing, including a landing shoulder configured to contact the casing hanger during installation of the casing hanger in a wellhead; a transducer disposed on an exterior of the wellhead housing, wherein the transducer is configured to emit an input pulse toward the landing shoulder; and an ultrasonic transmitter coupled to the transducer, wherein the ultrasonic transmitter is configured to detect the input pulse and one or more echo pulses associated with the input pulse.
A seal including a seal body, an inner arm protruding from the seal body and configured to engage an inner surface, and an outer arm protruding from the seal body and configured to engage an outer surface. The inner arm includes an inner seal protrusion proximate to a distal end of the inner arm and an inner support protrusion. The outer arm includes an outer seal protrusion proximate to a distal end of the outer arm and an outer support protrusion. The inner seal protrusion and the outer seal protrusion define a seal width, and the inner support protrusion and the outer support protrusion define a support width less than the seal width while the seal is in an uncompressed state.
A wellbore fluid includes an oleaginous base fluid, and an emulsifier composition. The emulsifier composition includes an emulsifier including an amide comprising a reaction product of a polyamine and one or more fatty acids. The emulsifier composition further includes one or more organic acids. The one or more organic acids may be present in the emulsifier composition a concentration of at least about 1.0 mole for every about 1.0 mole of the amide. Related methods of operating a wellbore and wellbore are also disclosed.
A parameter roadmap system receiving reference wellbore data including drilling parameter data for one or more reference wellbores and selects a segmentation parameter set and associated segmentation parameter data from the reference wellbore data. Based on the segmentation parameter data, the parameter roadmap system segments the reference wellbore data into a plurality of depth segments using a statistical segmentation model. The parameter roadmap system identifies a segment threshold for each drilling parameter of the reference wellbore data at each of the plurality of depth segments to generate a drilling parameter roadmap and provides the roadmap for forming a target wellbore.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
The present disclosure relates to a method. The method includes receiving resource reference data corresponding to oil and gas resources. The method also includes obtaining, from a first database, a first plurality of resource data associated with a first organization. Further, the method includes obtaining, from a second database different than the first database, a second plurality of resource data associated with a second organization. Further still, the method includes generating an organization semantics model based on the reference data, the first plurality of resource data, and the second plurality of resource data, wherein the organization semantics model is a language-learning model configured to generate a first response based on a received query corresponding to the first organization, and wherein the organization semantics model is configured to generate a second response based on the received query corresponding to the second organization.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
A progressive cavity pump system including a pump string disposed in a wellbore. The pump string includes a progressive cavity pump and a rod string, wherein the rod string is rotatable about a rod string axis to rotate a rotor of the progressive cavity pump. The progressive cavity pump system includes a permanent magnetic motor ("PMM") configured to drive the rotation of the rod string. The PMM is oriented such that a drive shaft of the PMM rotates about a drive shaft axis that is not coaxial with the rod string axis.
F04C 2/107 - Rotary-piston machines or pumps of intermeshing-engagement type, i.e. with engagement of co-operating members similar to that of toothed gearing of internal-axis type with the outer member having more teeth or tooth-equivalents, e.g. rollers, than the inner member with helical teeth
F04C 11/00 - Combinations of two or more machines or pumps, each being of rotary-piston or oscillating-piston typePumping installations
F04C 13/00 - Adaptations of machines or pumps for special use, e.g. for extremely high pressures
F04C 15/00 - Component parts, details or accessories of machines, pumps or pumping installations, not provided for in groups
E21B 43/12 - Methods or apparatus for controlling the flow of the obtained fluid to or in wells
A method can include receiving rock sample imagery of rock; generating characterizations of the rock based at least in part on the imagery using one or more machine learning models; and outputting the characterizations of the rock.
G01N 15/0227 - Investigating particle size or size distribution by optical means using imagingInvestigating particle size or size distribution by optical means using holography
28.
SPATIAL GRADIENT OF TIME AVERAGE VELOCITY TECHNIQUES FOR DEVELOPMENT PLAN GENERATION
Disclosed are methods, systems, and computer programs for dynamically generating a development plan for a resource site. The methods for example, include receiving seismic data associated with a subsurface of the resource site. The seismic data may be associated with a propagated wavefield within the subsurface of the resource site and can include at least structural geological data associated with the resource site. The methods also include directionally determining a plurality of rate of change data based on the propagated wavefield within the subsurface. The methods further include executing an averaging operation using the plurality of rate of change data and thereby generate an impedance model. The impedance model may be used to generate a development plan which is then used for energy development operations at the resource site.
The disclosure provides methods of communication for untethered systems. The method includes defining a window for sampling a torque-related current and a modulator rotor relative position-related parameter; using the defined window, recording local maximum and local minimum values of the torque-related current versus a modulator rotor relative position-related parameter of a rotor of a rotary pulser system in the untethered system; identifying at least one of consecutive torque-related current minimum values and consecutive torque-related current maximum values based on a periodicity; computing an absolute modulator rotor position based on the periodic maxima and minima of the torque-related current; and controlling the modulator rotor using the absolute modulator rotor position to modulate uplink signals to a surface environment.
E21B 47/18 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling using acoustic waves through the well fluid
E21B 43/12 - Methods or apparatus for controlling the flow of the obtained fluid to or in wells
A method of determining drill break of a downhole system includes receiving downhole data associated with a downhole tool implemented in a wellbore, the downhole data including rate of penetration (ROP) data of the downhole tool. The method further includes, based on the downhole data, determining a baseline ROP. The method further includes identifying a threshold change of the ROP data from the baseline ROP, wherein the threshold change is based on a dynamic threshold. The method further includes generating an indication of the threshold change.
E21B 45/00 - Measuring the drilling time or rate of penetration
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
A system includes an electric submersible progressive cavity pump (ESPCP). The ESPCP includes a stator having an internal bore, and a hollow rotor disposed in the internal bore of the stator, where the hollow rotor is configured to rotate within the internal bore to pump a fluid via a plurality of progressive cavities.
F04C 2/107 - Rotary-piston machines or pumps of intermeshing-engagement type, i.e. with engagement of co-operating members similar to that of toothed gearing of internal-axis type with the outer member having more teeth or tooth-equivalents, e.g. rollers, than the inner member with helical teeth
F04C 11/00 - Combinations of two or more machines or pumps, each being of rotary-piston or oscillating-piston typePumping installations
F04C 13/00 - Adaptations of machines or pumps for special use, e.g. for extremely high pressures
F04C 15/00 - Component parts, details or accessories of machines, pumps or pumping installations, not provided for in groups
E21B 43/12 - Methods or apparatus for controlling the flow of the obtained fluid to or in wells
32.
WELLBORE FLUIDS INCLUDING HYDROPHOBIC MODIFIED STARCH, AND RELATED METHODS
A wellbore fluid includes a base fluid and a fluid loss material comprising hydrophobic modified starch. The hydrophobic modified starch comprises at least one of crosslinked starch, hydroxyalkylated starch, or carboxymethylated starch, and at least one hydrophobic group bonded to the at least one of the crosslinked starch, hydroxyalkylated starch, or the carboxymethylated starch. The wellbore fluid further comprises a hydrophobic bridging material. Related methods and drilling fluids are disclosed.
Methods and compositions for dissolving metal containing scale are described herein. An aqueous dissolver solution is applied to a metal surface having metal containing scale and the contact is maintained for a duration selected to reduce or remove the scale.
A method of identifying subterranean features includes receiving an inversion image indicating a portion of a subsurface feature. Boundary information is determined for the inversion images using a subsurface boundary machine learning model that is generated to process individual pixels of input inversion images through a decision-based architecture to identify boundaries of subsurface features. Based on the boundary information, a boundary mask is generated for the inversion image. The method further includes providing the boundary mask for adjusting one or more downhole parameters based on the boundary mask.
E21B 47/002 - Survey of boreholes or wells by visual inspection
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
G01V 3/30 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging operating with electromagnetic waves
A system and method in accordance with the present disclosure include a workflow applied to identify areas of confidence in seismic interpretations that meets a pre-selected threshold by utilizing machine-learning (ML) techniques. The ML techniques enable one or more filters to be applied, based on a range of confidence values, to areas of seismic interpretation both in the vicinity of the faults but also away from fault locations. The contribution of the various inputs is evaluated and weighted by the ML model, which reduces the time to prepare input seismic interpretation data and to obtain results from executing the model.
Systems and methods are described for developing a model to predict humidity (relative, absolute) values inside a closed housing with an absorbent filter. In an example, a methane sensor that includes an internal atmospheric sensor and an external atmospheric sensor can be placed at a site. A computing device can use measurements from the atmospheric sensors to calculate predicted relative and absolute humidity values inside the methane sensor. The computing device can train a gaussian process regression model to calibrate sensor data based on the external temperature and humidity. When the model predicts the ambient methane within a predetermined degree of allowance, the model can be applied to live readings from methane sensors in the field.
A method can include accessing data for a subsurface region that includes horizons that extend to a fault, where the data includes at least seismic data; selecting a portion of the data that is within a distance range of the fault; creating local horizon models for the horizons using at least the portion of the data; generating on-fault horizon data using the local horizon models and a fault model of the fault; computing two-dimensional stratigraphy for a side of the fault based on at least a portion of the on-fault horizon data; and performing a simulation of one or more physical phenomena for the subsurface region using at least the fault model of the fault and the two-dimensional stratigraphy for the side of the fault.
A system for drilling a borehole includes a drilling assembly. An array of sensors is distributed around a circumference of the drilling assembly. Each sensor is configured to measure a temperature of fluid external to the drilling assembly at a different azimuthal position around the circumference of the drilling assembly. A method of drilling a borehole using a drilling assembly includes monitoring a fluid in an annulus between the drilling assembly and a wall of the borehole using an array of sensors distributed around a circumference of the drilling assembly. The method includes detecting a temperature change of the fluid using a sensor of the array of sensors, and determining an azimuthal direction of the temperature change with respect to the circumference of the drilling assembly. The method includes steering the drilling assembly to extend the borehole according to the determined azimuthal direction of the temperature change.
E21B 47/103 - Locating fluid leaks, intrusions or movements using thermal measurements
E21B 47/01 - Devices for supporting measuring instruments on drill bits, pipes, rods or wirelinesProtecting measuring instruments in boreholes against heat, shock, pressure or the like
A method of drilling a borehole includes extending the borehole in a formation using a drilling assembly deployed on coiled tubing. In some aspects, the method includes determining a value of a rate of penetration of the drilling assembly in the formation from drilling data obtained while drilling the borehole, and determining a value of porosity of the formation from the value of rate of penetration. In some aspects, the method includes determining a value of dimensionless torque from the drilling data, and determining a value of porosity of the formation from the value of dimensionless torque. The method further includes, based on the value of porosity, steering a drilling assembly in the borehole to further extend the borehole in the formation.
E21B 49/00 - Testing the nature of borehole wallsFormation testingMethods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
G01V 5/08 - Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays
A method of drilling a borehole includes receiving resistivity log data. The log data includes a phase shift and a propagation attenuation of electrical signals emitted by a resistivity logging tool at successive depths in the borehole. The method includes determining an increasing trend of one of the phase shift or the propagation attenuation from a first depth of the successive depths to a second depth of the successive depths, and determining a decreasing trend of a different one of the phase shift or the propagation attenuation from the first depth to the second depth. The method includes determining a resistivity of a formation at the second depth based on the increasing trend and the decreasing trend. The method includes, based on the resistivity of the formation at the second depth, steering a drilling assembly in the borehole to extend the borehole in the formation.
G01V 3/26 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging operating with magnetic or electric fields produced or modified either by the surrounding earth formation or by the detecting device
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
Disclosed are methods, systems, and computer programs for generating petrophysical analysis data. The methods include: accessing first porosity data and first well log data associated with an NMR well; randomly selecting data elements comprised in the first porosity data and the first well log data; developing, based on the randomly selected first porosity data and first well log data, a learning data structure; generating, based on the learning data structure, a machine learning model; receiving second well log data using sensor(s) deployed about a non-NMR well; adapting, based on the second well log data, variable input parameters of the machine learning model to generate second porosity data; and formatting the second porosity data to generate petrophysical analysis data. The petrophysical analysis data indicates one or more of: a petrophysical characterization of a rock type; flow dynamic data of a carbonate reservoir; well test or perforation zone data; and pore data.
G01V 3/32 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging operating with electron or nuclear magnetic resonance
G01V 3/38 - Processing data, e.g. for analysis, for interpretation or for correction
G01V 5/12 - Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays using gamma- or X-ray sources
G06N 3/088 - Non-supervised learning, e.g. competitive learning
A system is provided a composition of produced fluids of production wells extending through an earth formation, the produced fluids having a concentration of lithium. The system may provide a feed material to a lithium extraction process, the feed material comprising flowrates of the produced fluids. The system may utilize a simulation to determine an optimal feed composition to provide to the lithium extraction process to maximize a concentration of lithium in the feed material. The system may adjust flowrates of each of the produced fluids based on the optimal feed composition. Related systems and methods are also disclosed.
The invention relates to a method for producing hydrogen via steam electrolysis, the method comprising the following steps: - producing steam (112) by heating liquid water (204); and - electrolysing, in an electrolysis unit (102), at least a portion of the steam (112) to provide a first output stream (116) rich in hydrogen and a second output stream (118) rich in oxygen; characterised in that the steam is produced by at least one heat pump circuit reusing a portion of the heat from at least one of the output streams (116, 118) in order to vaporise the liquid water. The invention also relates to a system (400) implementing such a method.
The invention relates to the coupling of a hydrogenation or oxidation plant (2) and a dihydrogen production plant (3), for transferring (4) heat generated by the hydrogenation or oxidation plant (2) to an input stream of an electrochemical device of the dihydrogen production plant (3) and/or for feeding (100), to said hydrogenation or oxidation plant (2), one or more fluids formed by the electrochemical device.
Methods and systems are provided that calculate data representing an estimate of formation strength while drilling. The methods and systems employ a drill bit that is instrumented with a first sensor and a second sensor. A processor is configured to i) determine and store first data representing cutting forces acting on a cutting element of the drill bit while drilling based on measurements of the first sensor while drilling, ii) determine and store second data representing depth of cut of the drill bit while drilling based on measurements of the second sensor while drilling, and iii) process the first data and second data to generate and store data representing contact stress against the formation while drilling. This resultant data can be used as an estimate of formation strength. This estimate of formation strength is similar to UCS and can be used in oilfield operations/planning, such as formation characterization while drilling, or drilling efficiency analysis while drilling.
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
E21B 47/013 - Devices specially adapted for supporting measuring instruments on drill bits
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
09 - Scientific and electric apparatus and instruments
Goods & Services
(1) Hydrocarbon production equipment for subsurface wells, namely, flow control valves, subsurface safety valves, gas lift valves, packers, monitoring and telemetry equipment for segmenting a downhole well and enhancing control and monitoring of each individual segment while producing the well.
47.
INTERCONNECTOR FOR AN ELECTROCHEMICAL DEVICE COMPRISING SEALING GROOVES
The invention relates to a high temperature electrolyser comprising interconnectors (4) forming grooves for retaining seals (44, 46). The invention also relates to the corresponding production and assembly methods.
Methods and systems for managing operation of a well are disclosed. The method may include obtaining sonic log data for a geological formation in which the well is positioned. An iterative cross-correlation based reflector tracking process may be performed using the sonic log data to obtain a reflector data package. The reflector data package may include a plurality of points on a reflector and a plurality of dip angles of the reflector for the plurality of points. The reflector data package may be used, at least in part, to operate the well.
G01V 1/40 - SeismologySeismic or acoustic prospecting or detecting specially adapted for well-logging
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
49.
SYSTEM AND METHODOLOGY FOR EVALUATION OF DISTRIBUTED ACOUSTIC AND TEMPERATURE SIGNALS DURING WELL FLOWS WITH HETEROGENEOUS INFLOW AND OUTFLOW PATTERNS
Methods and systems for managing characterization of wells using data acquisitions tools are disclosed. The data acquisition tools may be positioned in portions of wells. While positioned in the wells, the data acquisition tools may be measured. The measurements may be ingested into models and may provide, as output, inferred conditions in the portions of the wells. The models may be created using simulation systems. The simulation systems may allow for conditions that may be present in wells to be simulated, and data acquisition tools to be exposed to the simulated conditions. While exposed to the simulated conditions, the data acquisition tools may be measured to establish associations that may be used to infer conditions that may be present in wells.
E21B 43/267 - Methods for stimulating production by forming crevices or fractures reinforcing fractures by propping
E21B 47/14 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling using acoustic waves
A system includes a blowout preventer (BOP) having a ram assembly having first and second pistons. The first piston is configured to drive a first ram into a cavity of the BOP and the second piston is configured to drive a second ram into the cavity. The system also includes a motor assembly having first and second motors. The first motor is configured to cause an extension of a first lock to constrain the first piston and the second motor is configured to cause an extension of a second lock to constrain the second piston. The first and second motors are fluidly coupled to each other in a series arrangement via a connector conduit. The connector conduit is configured to flow a motor fluid sequentially through the first and second motors.
A method for determining a status change of one or more reamers in a wellbore includes receiving past surface data from a first time period. The past surface data includes a past flowrate of a fluid being pumped into the wellbore. The fluid flows through a bottomhole assembly (BHA) in the wellbore. The BHA includes the one or more reamers. The method also includes receiving past downhole data from the first time period. The past downhole data includes a past number of rotations per minute of one or more turbines (past TRPM) in the BHA. The method also includes determining a relationship based upon the past surface data and the past downhole data.
A method may include receiving a prompt via a large language model agent in a framework that includes multiple large language model agents; responsive to the prompt, generating one or more agent actions; transmitting the one or more agent actions to one or more of the multiple large language model agents; and, responsive to the transmitting, generating a control action implementable by a controller operatively coupled to one or more pieces of equipment at a field site.
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
A rig power supply system may identify a power profile of a drilling rig. A rig power supply system may, based on the power profile, generate an operating profile for the drilling rig, the operating profile including a combination of rig power supply of a rig power supply system and stored energy capacity of an energy storage system.
A rig power management system may identify a power demand of a drilling rig. A rig power management system may when the power demand is greater than a threshold power setpoint, supplementing a rig power supply system with an energy storage system. A rig power management system may when the power demand is less than the threshold power setpoint, maintaining a power generation at an operating power setpoint to charge the energy storage system.
Methods and systems are disclosed that use a temperature sensor integral to a drill bit during drilling. The temperature sensor is configured to measure temperature associated with a cutting element of the drill bit over time during drilling. The temperature sensor is used to generate temperature data representing temperature of the cutting element of the drill bit over time during drilling. The temperature data is processed to determine and monitor at least one condition of the wellbore and/or the drill bit during drilling, such as i) detection of faults or openings or cracks or other geological rock features of the wellbore being drilled, ii) estimation of one or more drilling parameters of the drill bit (such as rate of penetration (ROP), iii) detection of lost cutting element(s), iv) detection of bit balling, and v) detection of drilling efficiency.
E21B 47/01 - Devices for supporting measuring instruments on drill bits, pipes, rods or wirelinesProtecting measuring instruments in boreholes against heat, shock, pressure or the like
Aspects of the disclosure provide for using anticorrelation in propagation resistivity logs to detect boundary approaching conditions. Geosteering may be performed based on the detected boundary approaching conditions. The boundary detection and geosteering may be for a high angle well. The anticorrelation may be between attenuation resistivity and phase shift resistivity.
G01V 3/30 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging operating with electromagnetic waves
E21B 41/00 - Equipment or details not covered by groups
E21B 43/16 - Enhanced recovery methods for obtaining hydrocarbons
G01V 3/30 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging operating with electromagnetic waves
G01V 1/40 - SeismologySeismic or acoustic prospecting or detecting specially adapted for well-logging
58.
CUTTING INSERTS FOR USE IN A DOWNHOLE BIT AND METHODS THEROF
A cutting insert may include a base surface and a cutting element. The base surface is configured to be connected to a base of the cutting element. The cutting element including an upper surface. The upper surface includes a vertical most point and a cutting edge, and where the cutting edge has a vertical most portion, and where the vertical most portion of the cutting edge is closer to the base surface than the vertical most point.
A system includes a tube string configured to deploy within a wellbore, where the tube string includes a passage extending along a length of the tube string, and where the passage is configured to route fluid between a downhole location and an up hole location. The tube string also includes passage isolation device including a ball valve disposed within the passage and configured to transition between an open configuration and a closed configuration, where the ball valve is configured to enable a flow of the fluid through the ball valve in the open configuration. The ball valve is also configured to block the flow of the fluid through the ball valve in the closed configuration. The passage isolation device also includes an electronic actuator coupled to the ball valve, where the electronic actuator is configured to actuate the transition of the ball valve between the open configuration and the closed configuration.
The present application relates to a connector (10) designed to establish a fluid connection between two ducts (5, 6) of a high-temperature electrolyser-type electrochemical system. The connector (10) comprises a pipe element (30) and a connecting member (32), each comprising an electrically insulating material such as a ceramic. The present application also relates to an electrochemical system comprising at least one such connector (10).
C25B 1/042 - Hydrogen or oxygen by electrolysis of water by electrolysis of steam
C25B 9/00 - Cells or assemblies of cellsConstructional parts of cellsAssemblies of constructional parts, e.g. electrode-diaphragm assembliesProcess-related cell features
C25B 15/08 - Supplying or removing reactants or electrolytesRegeneration of electrolytes
F16L 23/028 - Flanged joints the flanges being connected by members tensioned axially characterised by how the flanges are joined to, or form an extension of, the pipes the flanges being held against a shoulder
H01M 50/00 - Constructional details or processes of manufacture of the non-active parts of electrochemical cells other than fuel cells, e.g. hybrid cells
H01M 8/04 - Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
61.
VISUAL INSPECTION OF OILFIELD EQUIPMENT USING MACHINE LEARNING
A non-transitory computer readable medium stores instructions that, when executed by a processor, cause the processor to receive, via a user interface of a mobile device, instructions to begin an inspection of a surface of a part, capture, via a camera of the mobile device, a video of the surface of the part as the mobile device is moved about the part, receive, via the user interface of the mobile device, information associated with the part, the inspection, or both, generate, via the processor of the mobile device, an inspection data set comprising the video and the information, and display, via the user interface of the mobile device, an indication of whether the surface of the part passed the inspection or failed the inspection based on a machine learning-based analysis of the inspection data set.
System and method operable to estimate directional gradients of a seismic wavefield from seismic data from a seismic survey. The operations include receiving the seismic data describing the seismic wavefield, estimating the directional gradients, from the seismic data, of the seismic wavefield along one or more directions, using the seismic wavefield and the directional gradients to perform an action, creating interpolated data using the seismic wavefield and the directional gradients for interpolation, identifying a subset of the interpolated data based on pre-selected criteria, determining residual data based on a difference between the subset and the seismic wavefield, estimating the directional gradients from the residual data, and displaying the directional gradients.
Aspects of the present disclosure provide a method for extracting minerals from a reservoir zone. The method includes extracting a fluid from the reservoir zone, the fluid including mineral brine and the mineral brine including the minerals, extracting the minerals from the mineral brine and producing a depleted effluent, injecting one or more tracers into the depleted effluent, injecting the depleted effluent with the one or more tracers into the reservoir zone, and monitoring the fluid for the one or more tracers.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable software featuring artificial intelligence (AI), generative AI, and large language models (LLMs), for performing generative text and natural language processing (NLP) tasks, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Downloadable software featuring programming interface (API) software for enabling generative AI and NLP capabilities, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Downloadable software using agentic AI software programs featuring software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries; and Downloadable software featuring AI-powered software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries. (1) Providing temporary use of non-downloadable software as a service (SaaS) featuring artificial intelligence (AI), generative AI, and large language models (LLMs), for performing generative text and natural language processing (NLP) tasks, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Providing temporary use of non-downloadable application programming interface (API) software for enabling generative AI and NLP capabilities, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Providing temporary use of non-downloadable software using agentic AI software programs featuring software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries; Providing temporary use of non-downloadable software featuring AI-powered featuring software programs, namely, software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable software featuring artificial intelligence (AI), generative AI, and large language models (LLMs), for performing generative text and natural language processing (NLP) tasks, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Downloadable software featuring programming interface (API) software for enabling generative AI and NLP capabilities, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Downloadable software using agentic AI software programs featuring software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries; and Downloadable software featuring AI-powered software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries. (1) Providing temporary use of non-downloadable software as a service (SaaS) featuring artificial intelligence (AI), generative AI, and large language models (LLMs), for performing generative text and natural language processing (NLP) tasks, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Providing temporary use of non-downloadable application programming interface (API) software for enabling generative AI and NLP capabilities, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Providing temporary use of non-downloadable software using agentic AI software programs featuring software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries; Providing temporary use of non-downloadable software featuring AI-powered featuring software programs, namely, software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable software featuring artificial intelligence (AI), generative AI, and large language models (LLMs), for performing generative text and natural language processing (NLP) tasks, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Downloadable software featuring programming interface (API) software for enabling generative AI and NLP capabilities, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Downloadable software using agentic AI software programs featuring software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries; and Downloadable software featuring AI-powered software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries. (1) Providing temporary use of non-downloadable software as a service (SaaS) featuring artificial intelligence (AI), generative AI, and large language models (LLMs), for performing generative text and natural language processing (NLP) tasks, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Providing temporary use of non-downloadable application programming interface (API) software for enabling generative AI and NLP capabilities, featuring content generation, summarization, document-based question answering, data-based question answering, analysis of data and program outputs across multiple programs and the internet, suggesting relevant programs and program features based on user questions, creating technical and economic workflows based on user questions, and conversational interaction including providing contextual guidance to act as a virtual assistant; Providing temporary use of non-downloadable software using agentic AI software programs featuring software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries; Providing temporary use of non-downloadable software featuring AI-powered featuring software programs, namely, software that automates technical and economic workflows and software-based tasks, analyzes data across multiple applications and the internet, replies to user inquiries to assist users in tasks, decision-making processes, and communications normally performed by technical professionals in the oil, gas, and natural resource exploration and production industries.
67.
PLANT AND METHOD FOR CO-PRODUCING DIHYDROGEN AND CEMENT CLINKER
The invention relates to a plant for producing dihydrogen, referred to as plant. The plant comprises an electrolyser, arranged to produce dioxygen and dihydrogen from steam, referred to as hot steam, at a temperature higher than 150°C, or water, referred to as hot water, at a temperature lower than or equal to 90°C. The plant further comprises a clinker manufacturing unit. The plant further comprises a heat recovery unit arranged to produce the hot steam or the hot water from gaseous emissions, referred to as hot gases, at a temperature higher than 150°C, emitted by the clinker manufacturing unit.
This disclosure describes a drilling system that uses a resolution transformation system to generate high-resolution target data for one or more types of low-resolution data of a wellbore data log. In various implementations, the resolution transformation system uses a resolution transformation machine learning model that is generated based on high-resolution source data of a different type from the target data and a tool response function associated with the target data. Accordingly, the resolution transformation system efficiently and accurately generates high-resolution target data from the low-resolution target data, which may result in identifying downhole features that would otherwise not be indicated in the low-resolution target data.
G01V 3/18 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging
G01V 3/38 - Processing data, e.g. for analysis, for interpretation or for correction
G01V 11/00 - Prospecting or detecting by methods combining techniques covered by two or more of main groups
69.
ESP PROTECTOR BAG SUPPORT AND GAS PURGING PROTECTOR FOR LOW ANGLE APPLICATION
An electric submersible pump (ESP). The ESP may comprise a bag frame comprising an upper bag frame and a lower bag frame. The ESP may comprise a bag. The ESP may comprise a housing. The ESP may comprise a shaft tube. The ESP may comprise a clamp. The ESP may comprise a bag support with a lower bag support and an upper bag support. The bag support may support an external surface of the bag that is uncovered by the housing, the bag frame, the shaft tube, and the clamps. The lower bag support may comprise a single, complete ring that supports the bag from the clamp to the housing.
The invention relates to a high-temperature electrolyser comprising corrugated interconnectors (4) equipped with reinforcing rods (30). The invention also relates to the associated production method.
A bacterial carbon dioxide immobilization system may inject carbon dioxide in the underground aquifer. A bacterial carbon dioxide immobilization system may inject a nutrient in the underground aquifer. A bacterial carbon dioxide immobilization system may inject carbonate-forming bacteria configured to form a carbonate from the nutrient and carbon dioxide, the carbonate-forming bacteria encapsulated with an encapsulating layer.
An electric submersible pump (ESP) comprising: a head comprising one or more top bearings and one or more sand filters; a long bearing with axial grooves configured to be used with two short sleeves; raised and intermediate seal bodies with long-bearings; an internal relief valve mounted internally inside a seal body; a body positioned above a thrust bearing chamber comprising dual bushings with axial grooves in different bores; and a base with long-bearings.
The invention relates to a modular assembly for a solid oxide electrolysis system for producing hydrogen. The assembly comprises at least one module (1) comprising at least one stack (2) of solid oxide plates positioned in a heat chamber (3), pipes for supplying fluids into the stack (2), pipes for discharging fluids from the stack (2), and at least one fluid-heating device allowing the fluid to reach a temperature that is compatible with the operation of the stack (2). The module (1) comprises a first removable part (10) provided with first connectors (4) for fluid pipes, which part comprises the stack (2) of solid oxide plates positioned in the heat chamber (3), and a second fixed part (11) provided with second connectors (5) capable of being connected to and disconnected from the first connectors (4). The second fixed part (11) comprises a distribution network (13) comprising the fluid supply pipes (14) and fluid discharge pipes (15).
A method includes: generating a synthetic geological formation model, including: receiving relative dip angles, determining a dielectric assumption, a horizontal relative permittivity, a vertical relative permittivity, and a vertical resistivity, and determining respective apparent dielectric permittivity and resistivity, performing 1D inversion, including: generating random geological layer parameters, generating a reference formation model, forward modeling the synthetic geological formation model, generating attenuation and phase-shift logs, generating a 1D inversion model, and generating inverted resistivity and inverted permittivity (EPSI), training a dielectric enhancement model, including: validating the dielectric enhancement model with the apparent dielectric permittivity and resistivity and an enhanced EPSI, training a convolutional neural network (CNN) with the inverted resistivity and permittivity and the relative dip angle, and updating the enhanced EPSI, generating a model prediction for a target geological formation, including: receiving logged values for the target geological formation, and correcting the logged values with the trained dielectric enhancement model.
G01V 5/10 - Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays using neutron sources
G01V 5/12 - Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity specially adapted for well-logging using primary nuclear radiation sources or X-rays using gamma- or X-ray sources
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
A method can include accessing a flow simulation model for a fluid network; receiving parameters for the fluid network; performing one or more flow simulations for the fluid network using the flow simulation model and the parameters to generate results; and generating result constructs, using the results, for optimization of the fluid network.
The invention relates to a hot box (1) of reversible high-temperature SOEC/SOFC electrolysis stacks (2), comprising a tank (10) accommodating at least two stacks, an inlet (14) and an outlet (15) through which first and second fluids (32) can enter and be discharged, said hot box further comprising a first supply pipe (6) for supplying a third fluid to each of said at least two stacks (2), and which extends from outside said tank to a central shaft (60). The hot box comprises sub-pipes (61) for distributing said third fluid, these each extending from the central distribution shaft to an inlet of a stack, said at least two stacks being positioned at equal distances from said central shaft. The hot box also includes discharge channels (62) which extend from the bottom of each of the stacks, to a second discharge pipe that collects a fourth fluid and discharges it out of said tank.
A safety valve piston seal assembly for safety valve pistons to improve the reliable of safety valve operation. The safety valve piston seal assembly is positioned about a safety valve piston and comprises components which divert a load path to the safety valve piston rather than to susceptible components of the seal assembly. The seal assembly may comprise a metal spring energized seal, an MSE backup ring adjacent the MSE seal and a load transfer assembly. The load assembly comprises a load ring, C-rings and a retaining sleeve. The retaining sleeve holds the two load rings and C-ring in place. The retaining sleeve restricts movement of the load ring.
E21B 34/10 - Valve arrangements for boreholes or wells in wells operated by control fluid supplied from outside the borehole
E21B 34/14 - Valve arrangements for boreholes or wells in wells operated by movement of tools, e.g. sleeve valves operated by pistons or wire line tools
78.
LARGE LANGUAGE MODEL-BASED WORKFLOW FOR RETRIEVING INFORMATION FROM OIL AND GAS DOCUMENTS
A method for retrieving information from documents includes receiving a plurality of documents. The method also includes splitting each document into chunks. The method also includes applying an embedding model on each chunk. The method also includes storing the chunks and their corresponding embedding models in a vector database. The method also includes receiving a question involving one or more wells. The method also includes determining whether the question is directed to a single one of the one or more wells or multiple of the one or more wells using a large language model (LLM). The method also includes performing a first set of sub-steps in response to the question being directed to the single well, or a second set of sub-steps in response to the question being directed to the multiple wells.
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
A method for performing core-to-log depth matching includes receiving input data. The input data includes core data and well log data. The method also includes performing an autonomous data preprocessing procedure to standardize the core data and the well log data to determine correlations between the core data and the well log data. The method also includes performing an autonomous outlier removal procedure to address differences in acquisition methods and measurement principles of the core data and the well log data. The method also includes automatically determining normalized cross-correlations between measurements derived from the core data and measurements derived from the well log data. The method also includes automatically shifting the measurements derived from the core data to a new depth position based upon a maximum of the normalized cross-correlations.
A method to perform a seismic survey using one or more source vessels includes enabling shooting from at least two seismic sources at pre-selected time intervals or pre-selected locations. The at least two seismic sources are on the one or more source vessels, and the at least two seismic sources include source technologies that differ from each other. The method also includes measuring wavefields received from the at least two seismic sources. The method also includes associating energy from the wavefields generated by each source with different seismic traces. The method also includes obtaining data from the different seismic traces that are equivalent to different datasets acquired in different surveys using the source technologies that differ from each other.
A method may include receiving a prompt by a generative artificial intelligence engine, where the prompt describes a drilling analysis; responsive to the prompt, generating configuration settings for one or more graphical user interfaces of one or more computational frameworks; and transmitting instructions for rendering at least one of the graphical user interfaces to a display according to its configuration settings.
A method for generating a seismic profile includes receiving input data. The method also includes generating seismic features based upon the input data. The method also includes extracting seismic tiles and/or sub-volumes from the seismic features. The method also includes training a 2D or 3D model based upon the seismic features and the seismic tiles and/or sub-volumes to produce a trained 2D or 3D model. The method also includes generating the seismic profile using the trained 2D or 3D model.
A method for detecting hydrocarbon-related seismic anomalies includes receiving first input data. The method also includes training a plurality of subnet models based upon the first input data to produce a plurality of trained subnet models. The method also includes building a multi-modal foundation model using the trained subnet models. The method also includes receiving second input data. The method also includes generating a multi-modal feature space using the multi-modal foundation model based upon the second input data.
G01V 1/28 - Processing seismic data, e.g. for interpretation or for event detection
E21B 49/00 - Testing the nature of borehole wallsFormation testingMethods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
84.
AI-ASSISTED HYDROCARBON ANOMOLY IDENTIFICATION USING OPTIMIZED DEEP LEARNING TASK SPECIFIC WORKFLOW
A method for detecting hydrocarbon-related seismic anomalies includes receiving input data related to a reservoir. The method also includes training an artificial intelligence (AI) model based upon the input data to produce a trained AI model. The method also includes classifying seismic anomalies in the input data using the trained AI model to produce classified seismic anomalies. The method also includes generating exploration tasks using the trained AI model based at least partially upon the classified seismic anomalies. The exploration tasks include pay maps, confidence attributes, and/or risk resource determinations.
A drill bit includes cutting elements and a displacement sensor deployed on a drill bit body. The displacement sensor includes an engagement piston disposed to translate axially in a sensor housing. The engagement piston includes an inner plunger and an opposing outer engagement element configured to engage a subterranean formation and is biased outward from the sensor housing. The displacement sensor further includes a position sensor configured to sense an axial position of the engagement piston in the sensor housing. An electronic controller is configured to determine a measured displacement from the sensed axial position of the engagement piston. The displacement sensor may enable depth of cut and rate of penetration measurements to be made while drilling.
E21B 47/01 - Devices for supporting measuring instruments on drill bits, pipes, rods or wirelinesProtecting measuring instruments in boreholes against heat, shock, pressure or the like
E21B 10/48 - Drill bits characterised by wear resisting parts, e.g. diamond inserts the bit being of core type
86.
SYSTEMS AND METHODS FOR PREDICTING WELLBORE STIMULATION PERFORMANCE OF ACID JETTING THROUGH PRE-PERFORATED LINERS
The present disclosure relates to systems and methods for predicting wellbore stimulation performance of acid jetting through pre-perforated liners. In particular, the methods presented herein include collecting data relating to a wellbore stimulation operation performed subsurface in a wellbore, and utilizing a physics-based model to predict an effect of jetting on efficiency of a reactive fluid during the wellbore stimulation operation based at least in part on the collected data. In addition, experimental and field treatment data, real-time telemetry, production logs, flow quantification logs or distributed sensing (e.g., temperature, acoustic, strain, and so forth) results may be used to calibrate tuning parameters of the physics-based model, which may be adjusted based on data analytics and machine learning methods.
E21B 43/27 - Methods for stimulating production by forming crevices or fractures by use of eroding chemicals, e.g. acids
E21B 43/267 - Methods for stimulating production by forming crevices or fractures reinforcing fractures by propping
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
A health status and monitoring system may receive status information for a plurality of subsystems of the fluid processing facility, the status information including at least one of time-series data, daily reports, maintenance records, inspection records, equipment runtime, equipment uptime, control room reports, shift reports, or laboratory samples. A health status and monitoring system may apply a current status model to the status information, the current status model generating a health status for the fluid processing facility, the health status incorporating a subsystem status of the plurality of subsystems.
A system includes a valve cartridge, including a body defining a fluid flow path extending from an oil inlet to an oil outlet. The oil inlet is configured to be fluidly coupled to a volume disposed about a piston. The oil inlet is configured to receive oil from the volume disposed about the piston and direct the oil along the flow path. The toe valve cartridge further includes a first membrane disposed along the flow path, downstream of the oil inlet. The first membrane is configured to rupture when exposed to a pressure and a second membrane disposed along the flow path, downstream of the first membrane. The valve cartridge is configured to direct the oil along the flow path, through the ruptured first membrane, through the ruptured second membrane, and out of the valve cartridge via the oil outlet.
E21B 34/10 - Valve arrangements for boreholes or wells in wells operated by control fluid supplied from outside the borehole
E21B 34/14 - Valve arrangements for boreholes or wells in wells operated by movement of tools, e.g. sleeve valves operated by pistons or wire line tools
E21B 43/267 - Methods for stimulating production by forming crevices or fractures reinforcing fractures by propping
A wellhead includes a wellhead housing and a hanger configured to support a casing within the wellhead housing. The wellhead housing, the hanger, or both includes one or more passageways. A seal element is configured to transition from a solid state in a first configuration to a flowable state to flow into the one or more passageways and to transition from the flowable state to the solid state in a second figuration to seal the one or more passageways.
A method may include receiving data for drilling of a borehole in a subsurface environment according to a borehole trajectory for a target well at a field location in a basin; accessing offset well data for wells in the basin using at least a portion of the data, where the offset well data include identified formation tops with respect to well depth for a number of formations within the basin and mechanical specific energy drilling data with respect to well depth; aligning the offset well data using the formation tops to generate aligned offset well data that specify one or more drilling zones based on the mechanical specific energy drilling data; and performing the drilling based at least in part on the aligned offset well data.
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
91.
METHOD TO EXTRACT COLOR AND TEXTURE INFORMATION FROM ROCK PARTICLE INSTANCE IMAGES
Systems and methods are provided to extract features (e.g., colors, textual features) from arbitrary shaped and sized images by implementing global average pooling (GAP) and partial convolution in an autoencoder (AE) for analysis of the images. A global average pooling (GAP) layer may be used at the last layer of the encoder of the AE to make the feature rotation and translation invariant and scale equivariant. In addition, partial convolution may be used in the encoder to logically ignore the invalid pixels (e.g., background, image error, other object) or any pixel (e.g., in any area) in the images.
G01N 15/0227 - Investigating particle size or size distribution by optical means using imagingInvestigating particle size or size distribution by optical means using holography
G01N 21/84 - Systems specially adapted for particular applications
A method can include receiving queries for a well work program; responsive to the queries, retrieving data from a database to populate a well work program template; generating a graphical user interface based on the populated well work program template; and, responsive to interactions with the graphical user interface, generating a well work program file that specifies actions to perform the well work program.
G06Q 10/063 - Operations research, analysis or management
E21B 44/00 - Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systemsSystems specially adapted for monitoring a plurality of drilling variables or conditions
Methods and apparatus are described herein for recovering an element of interest from an aqueous source. Methods described herein include measuring a first conductivity of a first aqueous material using a conductivity sensor; performing an operation on the first aqueous material to change a concentration of an element of interest of the first aqueous material and yield a second aqueous material; measuring a second conductivity of the second aqueous material using a conductivity sensor; comparing the first conductivity, or a first value of a variable derived from the first conductivity, with the second conductivity, or with a second value of the variable derived from the second conductivity; and modifying a parameter of the operation based on the comparison. Methods are also described herein for recovery of elements of interest from aqueous sources using simulated moving beds processes.
A system may include a CO2 capture module, including a capture unit for capturing CO2 from a gas using a capture material and a regeneration unit for unloading the CO2 from a loaded capture material and regenerating said loaded capture material using heat. A system may include an energy module for producing electrical power and heat using solar energy, wherein at least a portion of the heat produced in the energy module is used in the regeneration unit.
B01D 53/96 - Regeneration, reactivation or recycling of reactants
F24S 10/30 - Solar heat collectors using working fluids with means for exchanging heat between two or more working fluids
F24S 60/00 - Arrangements for storing heat collected by solar heat collectors
B01D 53/14 - Separation of gases or vapoursRecovering vapours of volatile solvents from gasesChemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases or aerosols by absorption
A method for estimating a mechanical property of a subterranean formation includes engaging the formation with an engagement assembly deployed on a downhole tool to make engagement measurements while rotating the downhole tool in the wellbore. The mechanical property of the formation may be estimated from the engagement measurements. The mechanical property may include a modulus, a strain profile, or a formation integrity.
E21B 47/01 - Devices for supporting measuring instruments on drill bits, pipes, rods or wirelinesProtecting measuring instruments in boreholes against heat, shock, pressure or the like
The disclosed methods include: generating a geological model; sampling captured geological data to generate sampled data; evaluating, using an objective function, the sampled data to determine a parameter range for the geological model; deploying, based on the parameter range, a machine learning unsupervised clustering of datapoints comprised in the sampled data to generate seeds data; and ranking, based on the seeds data, two or more rock physics parameters of the geological model. The method further comprises: stochastically optimizing the geological model based on the seeds data and the determined parameter range to generate model performance data for the geological model; calibrating, based on the model performance data, the two or more parameters of the geological model to generate a calibrated geological model; and generating, based on the calibrated geological model, a multi-dimensional report indicating elastic property predictions for each lithology comprised in a reservoir associated with the resource site.
G01V 1/40 - SeismologySeismic or acoustic prospecting or detecting specially adapted for well-logging
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
A method includes receiving formation model data corresponding to characteristics of a formation, receiving at least one drilling parameter corresponding to an attribute related to a well in the formation, generating a synthetic response based upon the formation model data and the at least one drilling parameter, undertaking channel selection based on the synthetic response as training data, wherein the channel selection comprises a set of data channels of a logging tool of the well that prioritizes a predetermined portion of measurements to transmit from the logging tool, training a machine learning system into a trained machine learning system utilizing the training data comprising the channel selection corresponding to the synthetic response as a matched pair of inputs for the machine learning system, and generating a final model as the trained machine learning system via the training of the machine learning system.
G01V 3/30 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging operating with electromagnetic waves
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
A method can include receiving a query from a drilling operations framework; enhancing the query by retrieving data from a database to form an enhanced query; generating a response to the enhanced query using a large language model; and processing the query, based at least in part on the response, using the drilling operations framework to formulate a control action for drilling operations.
Systems and methods for exacting elements of interest, such as lithium, from an aqueous material are described herein. The systems generally use multiple vessels with selective media in each vessel to accomplish extraction of the element of interest. The vessels are operated in cyclic, permuted fashion to move between absorption and desorption operations by routing flows of streams for accomplishing such operations among the vessels in programmed ways. Sensors configured to detect total dissolved solids, or a parameter related to total dissolved solids, are used to detect endpoints for mode switching and to ascertain other aspects of system performance.
B01D 15/08 - Selective adsorption, e.g. chromatography
C22B 3/24 - Treatment or purification of solutions, e.g. obtained by leaching by physical processes, e.g. by filtration, by magnetic means by adsorption on solid substances, e.g. by extraction with solid resins
A system and method for predicting formation properties is described. For example, a computing device may receive deep directional resistivity (DDR) measurement data from one or more DDR sensors. The computing device may apply a formation property prediction model to the DDR measurement data, the formation property prediction model pretrained to identify predicted formation parameters based on input DDR data, formation properties of the input DDR data, and tool parameters. The computing device may receive the predicted formation parameters for a subsurface beyond the wellbore in response to applying the formation property prediction model to the DDR measurement data.
G01V 3/30 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation specially adapted for well-logging operating with electromagnetic waves
E21B 47/12 - Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
