Techniques including methods, apparatus and computer program products are disclosed. These techniques include computer instructions that are encoded on computer storage media for determining wettability. The techniques use a numerical aging computation process to provide a representation of a wettability alteration of a physical rock sample in the presence of at least two fluids is disclosed. The techniques include retrieving a representation of a physical rock sample, the representation including pore space and grain space data corresponding to the physical rock sample, calculating local curvature for each surface in the pore space, determining from the calculated local curvature whether water-film breakage will occur, and classifying the wettability of the physical rock based on the determination of water-film breakage.
G01N 13/00 - Investigating surface or boundary effects, e.g. wetting powerInvestigating diffusion effectsAnalysing materials by determining surface, boundary, or diffusion effects
G01N 23/046 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
The description describes one or more processing devices and one or more hardware storage devices storing instructions that are operable, when executed by the one or more processing devices, to cause the one or more processing devices to perform operations including modeling the porous material as a two-dimensional interface, in a simulation space, in which fluid flows and sound waves travel through the porous material and experience pressure and acoustic losses. The operations also include simulating, in the simulation space, fluid flow and propagation of sound waves, the activity of the fluid being simulated so as to simulate movement of elements within the simulation space and across the interface, where the simulation of the movement of the elements across the interface is governed by the model.
A method, system, and computer program product for correcting the contrast levels of a medical image of a vascular system is described. One of the methods includes identifying a global reference contrast level. The method includes for each image location which represents a location within the vascular system, determining a corrected contrast level by multiplying the original contrast level of that location by the ratio of the global reference contrast level divided by a local reference contrast level.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
Systems, methods, and computer program products can be used for visualizing the behavior of flow of two or more fluid phases, wherein a fluid phase behavior is represented in a visualization. One of the methods includes determining an occupation time, which is the amount of elapsed time from when a fluid phase first occupies a particular location until a second time. The method includes generating data for a visualization, with a location in the visualization corresponding to the particular location, and with the generated data for that location in the visualization indicating the occupation time.
G01F 1/704 - Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow using marked regions or existing inhomogeneities within the fluid stream, e.g. statistically occurring variations in a fluid parameter
G01F 1/74 - Devices for measuring flow of a fluid or flow of a fluent solid material in suspension in another fluid
G06G 7/57 - Analogue computers for specific processes, systems, or devices, e.g. simulators for fluid flow
A system and method for simulating activity of a fluid in a volume that represents a physical space, the activity of the fluid in the volume being simulated so as to model movement of elements within the volume. The method includes at a first time, identifying a first set of vortices in a transient and turbulent flow. The method includes at a second time that is subsequent to the first time, identifying a second set of vortices. The method includes tracking changes in the vortices by comparing the first set and the second set of discrete vortices. The method includes identifying one or more noise sources based on the tracking. The method includes determining the contribution of one or more noise sources at a receiver. The method also includes outputting data indicating one or more modifications to one or more geometric features of a device or an entity.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a fast battery model. One of the methods includes obtaining temperature data, for one or more locations within or on the surface of a battery, the temperature data comprising time-varying heat flow inputs applied to the battery and time-varying temperature signals generated by the battery. The method also includes processing the temperature data to generate a continuous-time thermal model having one or more time-delay elements and one or more parameters, wherein parameter values are fitted using the temperature data.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of an electro-thermal battery model. One of the methods includes obtaining battery data comprising voltage values, with each voltage value corresponding to an operating state of the battery. The method includes selecting a battery model having convex parameters and non-convex parameters. The method includes processing the battery data by performing a fitting procedure to determine values of the convex parameters and non-convex parameters. The fitting procedure includes fitting the convex parameters with respect to the battery data during which the non-convex parameters are held fixed. The fitting procedure includes fitting the non-convex parameters with respect to the battery data. The fitting procedure also includes creating an electro-thermal model for a battery from the selected battery model using the fitted values.
G01R 31/36 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
G01K 7/42 - Circuits effecting compensation of thermal inertiaCircuits for predicting the stationary value of a temperature
H01M 10/05 - Accumulators with non-aqueous electrolyte
H01M 10/48 - Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
8.
A DATA PROCESSING METHOD FOR INCLUDING THE EFFECT OF THE TORTUOSITY ON THE ACOUSTIC BEHAVIOR OF A FLUID IN A POROUS MEDIUM
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data representing the effect of tortuosity on the acoustic behavior of a fluid in a porous medium. One of the methods includes generating by a first data processing program of the data processing apparatus, a model of acoustic behavior of a fluid in a porous medium including an effect of tortuosity, with the model comprising a time variable indicative of a sound speed of the fluid. The method includes rescaling the time variable of the model based on the sound speed in a fluid in the porous medium. The method also includes simulating the acoustic behavior including the effect of tortuosity of the porous medium based on the rescaling of the time-related variables within the model.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data in a data processing system to identify candidate modifications to physical features of a mechanical device. One of the methods includes converting a representation of the mechanical device into a representation of surface elements. The method includes that based on the representation of the surface elements, computing an effect to evaluation criteria of each of a design variable. The method includes converting the design variables and the computed effect into component vectors. The method includes computing a composite design vector for the evaluation criteria using the component vectors, with the composite design vector comprising a combination of design variable settings to improve the evaluation criteria, and specifying a vector in a design variable space. The method also includes generating a physical modification specification for the mechanical device based on the composite design vector.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for fluid blob tracking. One of the methods includes identifying, by a computer system, a connected fluid phase region in a flow simulation. The method includes tracking, by the computer system, the connected fluid phase region over a first timeframe and a second timeframe. The method also includes determining, by the computer system, movement of the connected fluid phase region from the first timeframe to the second timeframe based on the tracking.
A method includes simulating, in a lattice velocity set, transport of particles in a volume of fluid, with the transport causing collision among the particles; and generating a distribution function for transport of the particles, wherein the distribution function comprises a thermodynamic step and a particle collision step, and wherein the thermodynamic step is substantially independent of and separate from the particle collision step.
A method comprising: simulating, in a lattice velocity set, movement of particles in a volume of fluid, with the movement causing collision among the particles; based on the simulated movement, determining relative particle velocity of a particle at a particular location within the volume, with the relative particle velocity being a difference between (i) an absolute velocity of the particle at the particular location within the volume and measured under zero flow of the volume, and (ii) a mean velocity of one or more of the particles at the particular location within the volume; and determining, based on the relative particle velocity, a non-equilibrium post-collide distribution function of a specified order that is representative of the collision.
This description relates to computer simulation of physical processes, such as computer simulation of multi-species flow through porous media including the determination/estimation of relative permeabilities for the multi-species flow through the porous media.
A system and method for automatically detecting and tracking time and space variations of flow structures in order to locate and characterize the flow structures which produce noise and to quantify the corresponding acoustic radiation properties. A system and method for automatically detecting and tracking time and space variations of flow structures in order to locate and characterize the flow structures which produce noise and to quantify the corresponding acoustic radiation properties is described herein.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
15.
COMPUTER SIMULATION OF PHYSICAL PROCESSES INCLUDING MODELING OF LAMINAR-TO-TURBULENT TRANSITION
A computer-implemented method for simulating fluid flow using a lattice Boltzmann (LB) approach that includes assigning values for the wall shear stress on a per-facet (e.g., per-surfel) basis based on whether the fluid flow is laminar or turbulent is described herein. This description relates to computer simulation of physical processes, such as fluid flow and acoustics. This description also relates to a method for predicting the phenomena of laminar-to-turbulent transition in boundary layers.
A computer-implemented method for simulating fluid flow using a lattice Boltzmann (LB) approach and for solving scalar transport equations is described herein. In addition to the lattice Boltzmann functions for fluid flow, a second set of distribution functions is introduced for transport scalars.
Simulating a physical process [Fig. 3, item 302] includes storing, in a computer-accessible memory, state vectors for voxels, where the state vectors correspond to a model and include entries that correspond to particular momentum states of possible momentum states at a voxel. Interaction operations are performed on the state vectors. The interaction operations model interactions between elements of different momentum states according to the model. Move operations performed on the state vectors reflect movement of elements t new voxels according to the model [Fig. 3, items 310, 314; Fig. 13, items 1318, 1338, 1340]. The model is adapted to simulate a high-Knudsen number flow that has a Knudsen number greater than O. 1.
A fluid flow is simulated by causing a computer to perform operations on data stored in the memory to compute at least one eddy of a fluid flow at a first scale (410) and perform operations to compute at least one eddy of the fluid flow at both the first scale (410) and a second scale (420). The second scale is a finer scale than the first scale, and the computation of the at least one eddy of the fluid flow is constrained by results of the computation of the at least one eddy of the fluid flow at the first scale (420)
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