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公开(公告)号：US20190129050A1
公开(公告)日：2019-05-02
申请号：US15801793
申请日：2017-11-02
Applicant: CONOCOPHILLIPS COMPANY
Inventor： Chengbo LI , Charles C. MOSHER , Robert G. KEYS , Peter M. EICK , Sam T. KAPLAN , Joel D. BREWER
Abstract: 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.
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公开(公告)号：US20210311219A1
公开(公告)日：2021-10-07
申请号：US17347114
申请日：2021-06-14
Applicant: ConocoPhillips Company
Inventor： Chengbo LI , Charles C. MOSHER , Robert G. KEYS , Peter M. EICK , Sam T. KAPLAN , Joel D. BREWER
Abstract: 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.
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公开(公告)号：US20200158902A9
公开(公告)日：2020-05-21
申请号：US15801793
申请日：2017-11-02
Applicant: CONOCOPHILLIPS COMPANY
Inventor： Chengbo LI , Charles C. MOSHER , Robert G. KEYS , Peter M. EICK , Sam T. KAPLAN , Joel D. BREWER
Abstract: 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.
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公开(公告)号：US20150124560A1
公开(公告)日：2015-05-07
申请号：US14529690
申请日：2014-10-31
Applicant: CONOCOPHILLIPS COMPANY
Inventor： Chengbo LI , Sam T. KAPLAN , Charles C. MOSHER , Joel D. BREWER , Robert G. KEYS
IPC: G01V1/30
CPC classification number: G01V1/30 , G01V1/003 , G01V1/36 , G01V2210/169 , G01V2210/57 , G01V2210/60 , G01V2210/614
Abstract: 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∥1 s.t. ∥Ru−b∥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 μ ≤ C S m ( log n ) 6 , 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(r).
Abstract translation: 用于在地震数据重建期间确定最佳采样网格的计算机实现的方法包括：a）通过计算处理器构建优化模型，由minu|Su‖1s.t.t给出。 ∥Ru-b‖2＆nlE;＆sgr; 其中S是离散变换矩阵，b是观测网格上的地震数据，u是重建网格上的地震数据，矩阵R是采样算子; b）将相互相干定义为μ≤CCSm（对数n）6，其中C是常数，S是Su的基数，m与观察到的网格上的地震轨迹数成比例，并且n与 重建网格上的地震轨迹数; c）导出相互一致性代理，其中当S超过完成时，相互连贯代理是相互一致性的代理，并且其中当S是傅立叶变换时，相互连贯代理恰好是相互相干; 和d）确定样本网格r * = arg minrμ（r）。
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