Abrégé

The present invention discloses systems and methods for attenuation of coherent environmental and source-generated noise in a continuously recorded domain of seismic survey testing. Rather than applying universal de-noising techniques to conventional gathers after source de-blending, the system and methods discussed herein focus on estimating and removing noise directly on continuous records by leveraging the noise characteristics in the domain of natural recording. Such techniques may equally be applied to coherent environmental and source-generated noises on seismic data as well as other data and noise types. Driven by the noise types encountered in the field, the methods of noise attenuation may be based upon time-frequency domain rank reduction techniques. Further, to model signal and/or noise, low-rank approximations are employed in conjunction with other techniques such as operator design and unsupervised learning.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie

Abrégé

The present invention discloses systems and methods for attenuation of coherent environmental and source-generated noise in a continuously recorded domain of seismic survey testing. Rather than applying universal de-noising techniques to conventional gathers after source de-blending, the system and methods discussed herein focus on estimating and removing noise directly on continuous records by leveraging the noise characteristics in the domain of natural recording. Such techniques may equally be applied to coherent environmental and source-generated noises on seismic data as well as other data and noise types. Driven by the noise types encountered in the field, the methods of noise attenuation may be based upon time-frequency domain rank reduction techniques. Further, to model signal and/or noise, low-rank approximations are employed in conjunction with other techniques such as operator design and unsupervised learning.

Classes IPC  ?

• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie

Abrégé

Method for acquiring seismic data is described. The method includes determining a non-uniform optimal sampling design that includes a compressive sensing sampling grid. Placing a plurality of source lines or receiver lines at a non-uniform optimal line interval. Placing a plurality of receivers or nodes at a non-uniform optimal receiver interval. Towing a plurality of streamers attached to a vessel, wherein the plurality of streamers is spaced apart at non-uniform optimal intervals based on the compressive sensing sampling grid. Firing a plurality of shots from one or more seismic sources at non-uniform optimal shot intervals. Acquiring seismic data via the plurality of receivers or nodes.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

Leveraging migration and demigration, here we propose a learning-based approach for fast denoising with applications to fast-track processing. The method is designed to directly work on raw data without separating each noise type and character. The automatic attenuation of noise is attained by performing migration/demigration guided sparse inversion. By discussing examples from a Permian Basin dataset with very challenging noise issues, we attest the feasibility of this learning-based approach as a fast turnaround alternative to conventional denoising methodology.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie

Abrégé

Leveraging migration and demigration, here we propose a learning-based approach for fast denoising with applications to fast-track processing. The method is designed to directly work on raw data without separating each noise type and character. The automatic attenuation of noise is attained by performing migration/demigration guided sparse inversion. By discussing examples from a Permian Basin dataset with very challenging noise issues, we attest the feasibility of this learning-based approach as a fast turnaround alternative to conventional denoising methodology.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie

Abrégé

A multi-stage inversion method for deblending seismic data includes: a) acquiring blended seismic data from a plurality of seismic sources; b) constructing an optimization model that includes the acquired blended seismic data and unblended seismic data; c) performing sparse inversion, via a computer processor, on the optimization model; d) estimating high-amplitude coherent energy from result of the performing sparse inversion in c); e) re-blending the estimated high-amplitude coherent energy; and f) computing blended data with an attenuated direct arrival energy.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements

Abrégé

A method for 2D seismic data acquisition includes determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition wherein the source-point positions are based on non-uniform optimal sampling. A seismic data set is acquired with a first set of air-guns optimized for a deep-data seismic profile and the data set is acquired with a second set of air-guns optimized for a shallow-data seismic profile. The data are de-blended to obtain a deep 2D seismic dataset and a shallow 2D seismic dataset.

Classes IPC  ?

• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/137 - Production d'énergie sismique en utilisant des fluides comme moyens d'entraînement hydrauliques, p. ex. en utilisant des fluides à haute pression dont les fluides s'échappent du générateur d'une manière pulsée, p. ex. pour produire des explosions

Abrégé

Method for acquiring seismic data is described. The method includes determining a non-uniform optimal sampling design that includes a compressive sensing sampling grid. Placing a plurality of source lines or receiver lines at a non-uniform optimal line interval. Placing a plurality of receivers or nodes at a non-uniform optimal receiver interval. Towing a plurality of streamers attached to a vessel, wherein the plurality of streamers is spaced apart at non-uniform optimal intervals based on the compressive sensing sampling grid. Firing a plurality of shots from one or more seismic sources at non-uniform optimal shot intervals. Acquiring seismic data via the plurality of receivers or nodes.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

A multi-stage inversion method for deblending seismic data includes: a) acquiring blended seismic data from a plurality of seismic sources; b) constructing an optimization model that includes the acquired blended seismic data and unblended seismic data; c) performing sparse inversion, via a computer processor, on the optimization model; d) estimating high-amplitude coherent energy from result of the performing sparse inversion in c); e) re-blending the estimated high-amplitude coherent energy; and f) computing blended data with an attenuated direct arrival energy.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements

Abrégé

A method for 2D seismic data acquisition includes determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition wherein the source-point positions are based on non-uniform optimal sampling. A seismic data set is acquired with a first set of air-guns optimized for a deep-data seismic profile and the data set is acquired with a second set of air-guns optimized for a shallow-data seismic profile. The data are de-blended to obtain a deep 2D seismic dataset and a shallow 2D seismic dataset.

Classes IPC  ?

• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
• G01V 1/137 - Production d'énergie sismique en utilisant des fluides comme moyens d'entraînement hydrauliques, p. ex. en utilisant des fluides à haute pression dont les fluides s'échappent du générateur d'une manière pulsée, p. ex. pour produire des explosions
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie

Abrégé

The presently disclosed technology relates to an arrangement for seismic acquisition where the spacing between adjacent pairs of receiver and sources lines is not all the same. Some receiver and/or source lines and/or receiver and/or source spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition, while providing a wavefield that is optimally sampled by the receivers and sources so that the wavefield reconstruction is suitable for subsurface imaging needs.

Classes IPC  ?

• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau
• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques

Abrégé

Various aspects described herein relate to a machine learning based signal recovery. In one example, a computer-implemented method of noise contaminated signal recovery includes receiving, at a server, a first signal including a first portion and a second portion, the first portion indicative of data collected by a plurality of sensors, the second portion representing noise; performing a first denoising process on the first signal to filter out the noise to yield a first denoised signal; applying a machine learning model to determine a residual signal indicative of a difference between the first signal and the first denoised signal; and determining a second signal by adding the residual signal to the first denoised signal, the second signal comprising (i) signals of the first portion with higher magnitudes than the noise in the second portion, and (ii) signals of the first portion having lower magnitudes than the noise in the second portion.

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique
• H04Q 9/00 - Dispositions dans les systèmes de commande à distance ou de télémétrie pour appeler sélectivement une sous-station à partir d'une station principale, sous-station dans laquelle un appareil recherché est choisi pour appliquer un signal de commande ou pour obtenir des valeurs mesurées
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie

Abrégé

Disclosed are methods of marine 3D seismic data acquisition that do not require compensation for winds and currents.

Classes IPC  ?

• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/30 - Analyse
• G01V 1/34 - Représentation des enregistrements sismiques

Abrégé

Method for acquiring seismic data is described. The method includes obtaining undersampled seismic data acquired from a non-uniform sampling grid. Attenuating multiples from the undersampled seismic data.

Classes IPC  ?

• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

Method for acquiring seismic data is described. The method includes determining a non-uniform optimal sampling design that includes a compressive sensing sampling grid. Placing a plurality of source lines or receiver lines at a non-uniform optimal line interval. Placing a plurality of receivers or nodes at a non-uniform optimal receiver interval. Towing a plurality of streamers attached to a vessel, wherein the plurality of streamers is spaced apart at non-uniform optimal intervals based on the compressive sensing sampling grid. Firing a plurality of shots from one or more seismic sources at non-uniform optimal shot intervals. Acquiring seismic data via the plurality of receivers or nodes.

Classes IPC  ?

• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/00 - SéismologieProspection ou détection sismique ou acoustique
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

The invention relates to an arrangement for seismic acquisition the spacing between each adjacent pairs of receiver and sources lines is not all the same. Some receiver and/or source lines and/or receiver and/or source spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition while providing a wavefield that is optimally sampled by the receivers and sources so that the wavefield reconstruction is suitable for subsurface imaging needs.

Classes IPC  ?

• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

Disclosed are methods of marine 3D seismic data acquisition that do not require compensation for winds and currents.

Classes IPC  ?

• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/30 - Analyse
• G01V 1/34 - Représentation des enregistrements sismiques

Abrégé

A multi-stage inversion method for deblending seismic data includes: a) acquiring blended seismic data from a plurality of seismic sources; b) constructing an optimization model that includes the acquired blended seismic data and unblended seismic data; c) performing sparse inversion, via a computer processor, on the optimization model; d) estimating high-amplitude coherent energy from result of the performing sparse inversion in c); e) re-blending the estimated high-amplitude coherent energy; and f) computing blended data with an attenuated direct arrival energy.

Classes IPC  ?

• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements

Abrégé

A seismic measurement system and a method of obtaining seismic measurements are described. The seismic measurement system includes a cable and a plurality of sensors disposed at a first interval along the cable. The plurality of sensors receives reflections resulting from a seismic source and each of the plurality of sensors receives the reflection corresponding with a particular subsurface location. The system also includes a controller to turn on a first set of the plurality of sensors and turn off a second set of the plurality of sensors based on an area of interest.

Classes IPC  ?

• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau
• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques

Abrégé

2≦σ wherein S is a discrete transform matrix, b is seismic data on an observed grid, u is seismic data on a reconstruction grid, and matrix R is a sampling operator; b) defining mutual coherence as r μ(r).

Classes IPC  ?

• G01V 1/30 - Analyse
• G01V 1/00 - SéismologieProspection ou détection sismique ou acoustique
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie

Abrégé

The invention relates to an arrangement for seismic streamers used in the acquisition of seismic data in a marine environment where the spacing between each adjacent pair of streamers is not all the same. Some streamer spacings and/or receiver spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition while providing a wavefield that is optimally sampled by the receivers so that the wavefield reconstruction is suitable for subsurface imaging needs.

Classes IPC  ?

• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

The invention relates to an arrangement for seismic acquisition the spacing between each adjacent pairs of receiver and sources lines is not all the same. Some receiver and/or source lines and/or receiver and/or source spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition while providing a wavefield that is optimally sampled by the receivers and sources so that the wavefield reconstruction is suitable for subsurface imaging needs.

Classes IPC  ?

• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

Computer-implemented method for de-termining optimal sampling grid during seismic data re-construction includes: a) constructing an optimization model, via a computing processor, given by mino 11 Su 10 s.t. 11 Ru - b 112< a wherein S is a discrete transfonn mat-rix, b is seismic data on an observed grid, u is seismic data on a reconstruction grid, and matrix R is a sampling operator; b) defining mutual coherence, wherein C is a constant, S is a cardinality of Su, m is proportional to number of seismic traces on the observed grid, and n is proportional to number of seismic traces on the recon-struction grid; c) deriving a mutual coherence proxy, wherein the mutual coherence proxy is a proxy for mutu-al coherence when S is over-complete and wherein the mutual coherence proxy is exactly the mutual coherence when S is a Fourier transform; and d) detennining a sample grid r>> = arg min, (7).

Classes IPC  ?

• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements

Abrégé

Method for acquiring seismic data is described. The method includes determining a non-uniform optimal sampling design that includes a compressive sensing sampling grid. Placing a plurality of source lines or receiver lines at a non-uniform optimal line interval. Placing a plurality of receivers or nodes at a non-uniform optimal receiver interval. Towing a plurality of streamers attached to a vessel, wherein the plurality of streamers is spaced apart at non-uniform optimal intervals based on the compressive sensing sampling grid. Firing a plurality of shots from one or more seismic sources at non-uniform optimal shot intervals. Acquiring seismic data via the plurality of receivers or nodes.

Classes IPC  ?

• G01V 1/16 - Éléments récepteurs de signaux sismiquesAménagements ou adaptations des éléments récepteurs
• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

ABSTRACT The invention relates to an arrangement for seismic acquisition the spacing between each adjacent pair of receiver and sources lines is not all the same. Some receiver and/or source lines and/or receiver and/or source spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition while providing a wavefield that is optimally sampled by the receivers and sources so that the wavefield reconstruction is suitable for subsurface imaging needs. LEGAL 1'62574619 1 Date Recue/Date Received 2020-09-02

Classes IPC  ?

• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements

Abrégé

Various aspects described herein relate to a machine learning based signal recovery. In one example, a computer-implemented method of noise contaminated signal recovery includes receiving, at a server, a first signal including a first portion and a second portion, the first portion indicative of data collected by a plurality of sensors, the second portion representing noise; performing a first denoising process on the first signal to filter out the noise to yield a first denoised signal; applying a machine learning model to determine a residual signal indicative of a difference between the first signal and the first denoised signal; and determining a second signal by adding the residual signal to the first denoised signal, the second signal comprising (i) signals of the first portion with higher magnitudes than the noise in the second portion, and (ii) signals of the first portion having lower magnitudes than the noise in the second portion.

Classes IPC  ?

• G01V 1/30 - Analyse
• G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
• G01V 1/37 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie spécialement adaptés aux systèmes sismiques utilisant une agitation continue du sol
• G10L 21/02 - Amélioration de l'intelligibilité de la parole, p. ex. réduction de bruit ou annulation d'écho

Abrégé

Method for acquiring seismic data is described. The method includes obtaining undersampled seismic data acquired from a non-uniform sampling grid. Attenuating multiples from the undersampled seismic data.

Classes IPC  ?

• G01V 1/24 - Enregistrement des données sismiques
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
• G01V 1/30 - Analyse
• G01V 1/32 - Transformation d'un mode d'enregistrement en un autre

Abrégé

Computer-implemented method for determining optimal sampling grid during seismic data reconstruction includes: a) constructing an optimization model, via a computing processor, given by minu || Su ||j s.t. || Ru - b ||2< s wherein S is a discrete transform matrix, b is seismic data on an observed grid, u is seismic data on a reconstruction grid, and matrix R is a sampling operator; b) defining mutual coherence, wherein C is a constant, S is a cardinality of Su, m is proportional to number of seismic traces on the observed grid, and n is proportional to number of seismic traces on the reconstruction grid; c) deriving a mutual coherence proxy, wherein the mutual coherence proxy is a proxy for mutual coherence when S is over-complete and wherein the mutual coherence proxy is exactly the mutual coherence when S is a Fourier transform; and d) determining a sample grid r» = arg minr µ(?).

Classes IPC  ?

• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements

Abrégé

A multi-stage inversion method for deblending seismic data includes: a) acquiring blended seismic data from a plurality of seismic sources; b) constructing an optimization model that includes the acquired blended seismic data and unblended seismic data; c) performing sparse inversion, via a computer processor, on the optimization model; d) estimating high-amplitude coherent energy from result of the performing sparse inversion in c); e) re-blending the estimated high-amplitude coherent energy; and f) computing blended data with an attenuated direct arrival energy.

Classes IPC  ?

• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements

Abrégé

Disclosed are methods of marine 3D seismic data acquisition that do not require compensation for winds and currents.

Classes IPC  ?

• G01V 1/34 - Représentation des enregistrements sismiques
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

A method for 2D seismic data acquisition includes determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition wherein the source-point positions are based on non-uniform optimal sampling. A seismic data set is acquired with a first set of air-guns optimized for a deep-data seismic profile and the data set is acquired with a second set of air-guns optimized for a shallow-data seismic profile. The data are de-blended to obtain a deep 2D seismic dataset and a shallow 2D seismic dataset.

Classes IPC  ?

• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
• G01V 1/38 - SéismologieProspection ou détection sismique ou acoustique spécialement adaptées aux zones recouvertes d'eau

Abrégé

The invention relates to an arrangement for seismic acquisition the spacing between each adjacent pairs of receiver and sources lines is not all the same. Some receiver and/or source lines and/or receiver and/or source spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition while providing a wavefield that is optimally sampled by the receivers and sources so that the wavefield reconstruction is suitable for subsurface imaging needs.

Classes IPC  ?

• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques

Abrégé

The invention relates to an arrangement for seismic acquisition the spacing between each adjacent pair of receiver and sources lines is not all the same. Some receiver and/or source lines and/or receiver and/or source spacings are larger and some are smaller to provide a higher quality wavefield reconstruction when covering a larger total area or for a similar total area of seismic data acquisition while providing a wavefield that is optimally sampled by the receivers and sources so that the wavefield reconstruction is suitable for subsurface imaging needs.

Classes IPC  ?

• G01V 1/20 - Aménagements d'éléments récepteurs, p. ex. oscillogrammes géophoniques
• G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements