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公开(公告)号:US20210325555A1
公开(公告)日:2021-10-21
申请号:US17137550
申请日:2020-12-30
Applicant: CGG SERVICES SAS
Inventor: Roberto PEREIRA , Adel KHALIL
Abstract: Seismic exploration of an underground formation uses seismic excitations to probe the formation's properties such as reflectivity that can be imaged using reverse time migration. Using an equal area spherical binning at reflection points improves and simplifies RTM imaging together with adaptability to the data acquisition geometry, while overcoming drawbacks of conventional cylindrical binning.
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公开(公告)号:US20240201407A1
公开(公告)日:2024-06-20
申请号:US18530452
申请日:2023-12-06
Applicant: CGG SERVICES SAS
Inventor: Filipe RUDRIGUES , Danilo ALBUQUERQUE , Gabriel PACHECO , Cleberton OLIVEIRA , Karine PEREIRA , Benjamin HUARD , Luis CYPRIANO , Roberto PEREIRA , Adel KHALIL
CPC classification number: G01V1/325 , G01V1/282 , G01V1/302 , G01V1/345 , G01V2210/48 , G01V2210/51 , G01V2210/74
Abstract: A least-square migration, LSM, based method for generating a 4D image of a subsurface, the method including receiving seismic data d related to the subsurface, the seismic data d including a baseline dataset dB and a monitor dataset dM, calculating a baseline filter B and a monitor filter M based on a same common reflectivity r of the subsurface and corresponding remigrated baseline data mB1 and remigrated monitor data mM1 so that the base filter B applied to the remigrated baseline data mB1 equals the monitor filter M applied to the remigrated monitor data mM1, applying the baseline filter B to raw migrated baseline data mB0 and applying the monitor filter M to raw migrated monitor data mM0 to generate LSM baseline data mB and LSM monitor data mM, and generating the 4D image of the subsurface based on the LSM baseline data mB and the LSM monitor data mM.
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公开(公告)号:US20210055443A1
公开(公告)日:2021-02-25
申请号:US16851825
申请日:2020-04-17
Applicant: CGG SERVICES SAS
Abstract: Methods and apparatuses for seismic data processing perform a least-squares reverse time migration method in which surface-attribute-independent coefficients for the surface attribute gathers are demigrated to reduce the computational cost.
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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: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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