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公开(公告)号:US20250085456A1
公开(公告)日:2025-03-13
申请号:US18817586
申请日:2024-08-28
Applicant: CGG SERVICES SAS
Inventor: Peter KISS , Joshua CULLUM , Jennifer CLAYTON , WenJun LEE
IPC: G01V99/00
Abstract: A device for generating a chronostratigraphic chart for a given subsurface includes receiving biostratigraphic data including taxon names, standardizing the taxon names in the biostratigraphic data to obtain standardized taxon names, generating species biostratigraphic events from the standardized taxon names by estimating an abundance of each species in the biostratigraphic data with respect to a sample depth, assigning ages to the species biostratigraphic events, and generating the chronostratigraphic chart based on the species biostratigraphic events and the assigned ages.
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公开(公告)号:US20250067481A1
公开(公告)日:2025-02-27
申请号:US18726526
申请日:2023-12-22
Applicant: CGG SERVICES SAS
Inventor: Mariane PETER-BORIE , Robert CROSSLEY , Elisha DRUMM , Junior POTGIETER , Max NORMAN , Mark WILLIAMS
IPC: F24T10/17 , E21B41/00 , E21B43/295
Abstract: A heat extraction system for extracting heat from a reservoir, the system including a co-axial tool configured to be placed underground, the co-axial tool having an outer pipe and an inner pipe located within the outer pipe, each of the outer pipe and the inner pipe being connected to a shoe so that a fluid flows through an annulus defined by the inner and outer pipes, reaches the shoe, and flows through a bore of the inner pipe; and a power generator fluidly connected to a chemical processing unit to receive a fluid, and also fluidly connected with a first port to the inner pipe and with a second port to the outer pipe of the co-axial tool. A temperature difference of the fluid at the power generator and at the co-axial tool drives the power generator to generate energy.
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93.
公开(公告)号:US20250061104A1
公开(公告)日:2025-02-20
申请号:US18801942
申请日:2024-08-13
Applicant: CGG SERVICES SAS
Inventor: Song HOU , Chris SUBIA-WAUD
IPC: G06F16/22 , G06F16/245 , G06F16/248
Abstract: A method for extracting and displaying desired information from a set of tables includes storing a set of tables including information associated with a subsurface of the Earth; receiving a user query; selecting a table from the set of tables based on an embedding search performed for the user query, on a vector database of table-column questions of the set of tables; selecting one or more columns from the table based on a likelihood estimation performed in an embedding space, between (1) the user query and (2) a table summary and descriptions of columns for the selected table; determining one or more rows associated with the one or more columns; and displaying one or more answers in response to the user query.
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94.
公开(公告)号:US20240319394A1
公开(公告)日:2024-09-26
申请号:US18485744
申请日:2023-10-12
Applicant: CGG SERVICES SAS
Inventor: Danilo ALBUQUERQUE , Filipe RUDRIGUES , Roberto PEREIRA , Adel KHALIL
Abstract: A method for seismic exploration using a full waveform inversion, FWI, the method including receiving an initial velocity model V of the subsurface, receiving recorded data d related to the subsurface, generating synthetic data u related to the subsurface, using the initial velocity model V and a source signature of a source S, transforming the recorded data d and the synthetic data u, with a complex wavelet transform, into complex wavelet transformed recorded data d′ and complex wavelet transformed synthetic data u′, respectively, updating the initial velocity model V using the FWI to generate an updated velocity model, based on a cost function J which depends on the complex wavelet transformed recorded data d′ and the complex wavelet transformed synthetic data u′, and generating an image of a surveyed subsurface formation.
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公开(公告)号:US12085686B2
公开(公告)日:2024-09-10
申请号:US17750467
申请日:2022-05-23
Applicant: CGG SERVICES SAS
CPC classification number: G01V1/364 , G01V1/282 , G06F30/27 , G01V2210/324
Abstract: Seismic exploration methods and data processing apparatuses employ a deep neural network to remove seismic interference (SI) noise. Training data is generated by combining an SI model extracted using a conventional model from a subset of the seismic data, with SI free shots and simulated random noise. The trained DNN is used to process the entire seismic data thereby generating an image of subsurface formation for detecting presence and/or location of sought-after natural resources.
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公开(公告)号:US20240295666A1
公开(公告)日:2024-09-05
申请号:US18630066
申请日:2024-04-09
Applicant: CGG SERVICES SAS
Inventor: Filipe RUDRIGUES , Danilo ALBUQUERQUE , Gabriel BRANDO , Danilo FROES , Benjamin HUARD , Luis CYPRIANO , Roberto PEREIRA , Adel KHALIL
CPC classification number: G01V1/308 , G01V1/303 , G01V1/306 , G01V1/364 , G01V2210/612 , G01V2210/614
Abstract: A joint timelapse full waveform inversion (FWI) method for estimating physical properties of a subsurface includes receiving seismic data related to the subsurface, wherein the seismic data includes a baseline dataset dB and a monitor dataset dM, defining an objective function of the FWI method, calculating a baseline gradient gB of the objective function for the baseline dataset dB, and a monitor gradient gM of the objective function for the monitor dataset dM, computing a baseline preconditioner P′B for the baseline dataset dB and a monitor preconditioner P′M for the monitor dataset dM so that each of the baseline preconditioner P′B and the monitor preconditioner P′M reflects similarities and/or differences of geometrical features of the baseline and monitor acquisition surveys, and determining physical properties of the subsurface based on a baseline physical properties update and a monitor physical properties update.
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公开(公告)号:US20240230940A9
公开(公告)日:2024-07-11
申请号:US17969182
申请日:2022-10-19
Applicant: CGG SERVICES SAS
Inventor: Richard FLOWER
CPC classification number: G01V1/3843 , G01V1/133 , G01V1/186 , G01V2210/121 , G01V2210/1293 , G01V2210/1423
Abstract: An umbilical-based marine acquisition system includes an umbilical cable configured to be attached with a proximal end to a vessel and to provide compressed air to a seismic source, a sensor loaded section having plural seismic sensors distributed along a length of the sensor loaded section, the sensor loaded section being configured to be attached with a distal end to another sensor loaded section or to the seismic source, and an umbilical-sensor section connection configured to connect a distal end of the umbilical cable to a proximal end of the sensor loaded section. The umbilical-sensor section connection and the sensor loaded section are configured to transmit seismic data acquired by the plural seismic sensors to the vessel.
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公开(公告)号:US20240210582A1
公开(公告)日:2024-06-27
申请号:US18302119
申请日:2023-04-18
Applicant: CGG SERVICES SAS
CPC classification number: G01V1/282 , G01V1/303 , G01V2210/512 , G01V2210/6222 , G01V2210/675
Abstract: A method for raw seismic data inversion includes receiving raw seismic data acquired over an underground formation, receiving an initial velocity model of the underground formation, performing a dynamic resolution full waveform inversion, DR-FWI, on the raw seismic data so that a tomography component of a velocity gradient G is compensated to generate a compensated tomographic component while a diving wave component and a migration component are preserved, outputting an updated velocity model based on an illumination compensated velocity gradient G′, which is calculated based on the compensated tomographic component), and locating natural resources in the underground formation using the updated velocity model updated by the DR-FWI.
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公开(公告)号:US20240184004A1
公开(公告)日:2024-06-06
申请号:US18358357
申请日:2023-07-25
Applicant: CGG SERVICES SAS
Inventor: Gordon POOLE
IPC: G01V1/28
CPC classification number: G01V1/282 , G01V2210/675
Abstract: A method for internal multiple attenuation of seismic data associated with a subsurface. The method includes receiving seismic data d associated with the subsurface, wherein the seismic data d includes primaries and internal multiples, receiving a first reflectivity r1 associated with a first formation in the subsurface, calculating a second reflectivity r2 associated with a second formation in the subsurface, based on wavefield extrapolation of the seismic data d and a reflection in the first reflectivity r1, wherein the second formation is different from the first formation, calculating the internal multiples using (1) wavefield extrapolation of the seismic data d, (2) the reflection in the first reflectivity r1, and (3) a reflection in the second reflectivity r2, attenuating the internal multiplies from the seismic data d by subtraction, and generating an image of the subsurface indicative of geophysical features associated with oil or gas resources.
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公开(公告)号:US11796700B2
公开(公告)日:2023-10-24
申请号:US17497312
申请日:2021-10-08
Applicant: CGG SERVICES SAS
IPC: G01V1/36
CPC classification number: G01V1/362 , G01V2210/322 , G01V2210/512 , G01V2210/57
Abstract: One method interpolates simulated seismic data of a coarse spatial sampling to a finer spatial sampling using a neural network. The neural network is previously trained using a set of simulated seismic data with the finer spatial sampling and a subset thereof with the coarse spatial sampling. The data is simulated using an image of the explored underground formation generated using real seismic data. The seismic dataset resulting from simulation and interpolation is used for denoising the seismic data acquired over the underground formation. Another method demigrates seismic data at a sparse density and then increases density by interpolating traces using a neural network.
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