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公开(公告)号：US11320557B2
公开(公告)日：2022-05-03
申请号：US16834167
申请日：2020-03-30
发明人： Yimin Sun , Woodon Jeong , Constantinos Tsingas
摘要： A computer system receives a post-stack time-domain image having a first spectrum and representing one or more subsurface structures. The computer system reconstructs an increased-frequency version of the post-stack time-domain image using L0-constrained inversion and a least-squares mismatch ratio. The increased-frequency version of the post-stack time-domain image includes structural artifacts. The computer system removes the structural artifacts from the increased-frequency version of the post-stack time-domain image using singular value decomposition. The computer system combines the increased-frequency version of the post-stack time-domain image with the post-stack time-domain image using a weighting function. The computer system generates a combined version of the increased-frequency version of the post-stack time-domain image and the post-stack time-domain image. The combined version represents the one or more subsurface structures and has a second spectrum broader than the first spectrum.
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公开(公告)号：US10935680B2
公开(公告)日：2021-03-02
申请号：US15439463
申请日：2017-02-22
摘要： The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for generating geophysical images. One computer-implemented method includes receiving a set of seismic data associated with a subsurface region; generating source analytic wavefields and receiver analytic wavefields based on the set of seismic data; decomposing the source analytic wavefields and receiver analytic wavefields; computing directions of propagations for the source analytic wavefields and receiver analytic wavefields; computing, for a plurality of subsurface points, an azimuth angle and a reflection angle for a respective subsurface point based on the directions of propagations; generating for each of the plurality of subsurface points, a weighting function for a respective subsurface point based on the azimuth angle and the reflection angle of the respective subsurface point; and generating a subsurface image using the weighting functions of the plurality of subsurface points.
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公开(公告)号：US20180239041A1
公开(公告)日：2018-08-23
申请号：US15439463
申请日：2017-02-22
摘要： The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for generating geophysical images. One computer-implemented method includes receiving a set of seismic data associated with a subsurface region; generating source analytic wavefields and receiver analytic wavefields based on the set of seismic data; decomposing the source analytic wavefields and receiver analytic wavefields; computing directions of propagations for the source analytic wavefields and receiver analytic wavefields; computing, for a plurality of subsurface points, an azimuth angle and a reflection angle for a respective subsurface point based on the directions of propagations; generating for each of the plurality of subsurface points, a weighting function for a respective subsurface point based on the azimuth angle and the reflection angle of the respective subsurface point; and generating a subsurface image using the weighting functions of the plurality of subsurface points.
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公开(公告)号：US10788597B2
公开(公告)日：2020-09-29
申请号：US15837335
申请日：2017-12-11
摘要： The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for generating a reflectivity model for a subsurface area. One method includes: receiving a set of seismic data associated with the subsurface area; generating analytic source wavefields; generating analytic residual wavefields based on the set of seismic data and an initial reflectivity model; decomposing the analytic source wavefields and the analytic residual wavefields to obtain down-going and up-going components of the analytic source wavefields and the analytic residual wavefields; calculating a gradient vector using the down-going components of the analytic source wavefields and the up-going components of the analytic residual wavefields; calculating a source illumination factor using the down-going components of the analytic source wavefields; calculating a preconditioned gradient vector, based on the gradient vector and the source illumination factor; and generating an updated reflectivity model based on the preconditioned gradient vector.
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公开(公告)号：US20190146111A1
公开(公告)日：2019-05-16
申请号：US15810779
申请日：2017-11-13
IPC分类号： G01V1/36
摘要： The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems for applying orthogonalization filtering to wavefield separation. One computer-implemented method includes obtaining multi-component wavefields, performing wavefield separation on the multi-component wavefields to obtain separated wavefields, and applying a local orthogonalization weight (LOW) filtering to the separated wavefields to obtain filtered wavefields.
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公开(公告)号：US11500116B2
公开(公告)日：2022-11-15
申请号：US16413240
申请日：2019-05-15
摘要： Methods and systems, including computer programs encoded on a computer storage medium can be used for identifying primary-wave (P-wave) and secondary-wave (S-wave) characteristics of an underground formation by separating P-wave and S-wave modes of seismic data generated by applying a seismic source to a subterranean region of a geological area. Particle motion vectors of a P-wave are parallel to a propagation vector of the P-wave, whereas particle motion vectors of an S-wave are perpendicular to a propagation vector of the S-wave. The parallel and perpendicular relationship between the motion and propagation vectors of the respective P- and S-waves provide a basis for separating P- and S-wave components from a wavefield. The separation methodology extracts P-wave components and S-wave components from the wavefield based on an estimated angle between propagation vectors and wave motion vectors for the wavefield.
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公开(公告)号：US11249214B2
公开(公告)日：2022-02-15
申请号：US15992443
申请日：2018-05-30
发明人： Woodon Jeong , Constantinos Tsingas
摘要： Methods, systems, and computer-readable medium to perform operations for suppressing seafloor geophone seismic data noise. A computing system applies a vertical geophone de-noise process to enhance a compressional wave signal that is free from (independent of) shear energy leakage. This enhances the signal to noise (S/N) ratio of the vertical geophone component and concurrently make the vertical geophone component consistent with a hydrophone component.
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公开(公告)号：US20210302611A1
公开(公告)日：2021-09-30
申请号：US16834167
申请日：2020-03-30
发明人： Yimin Sun , Woodon Jeong , Constantinos Tsingas
摘要： A computer system receives a post-stack time-domain image having a first spectrum and representing one or more subsurface structures. The computer system reconstructs an increased-frequency version of the post-stack time-domain image using L0-constrained inversion and a least-squares mismatch ratio. The increased-frequency version of the post-stack time-domain image includes structural artifacts. The computer system removes the structural artifacts from the increased-frequency version of the post-stack time-domain image using singular value decomposition. The computer system combines the increased-frequency version of the post-stack time-domain image with the post-stack time-domain image using a weighting function. The computer system generates a combined version of the increased-frequency version of the post-stack time-domain image and the post-stack time-domain image. The combined version represents the one or more subsurface structures and has a second spectrum broader than the first spectrum.
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公开(公告)号：US20190179047A1
公开(公告)日：2019-06-13
申请号：US15837335
申请日：2017-12-11
摘要： The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for generating a reflectivity model for a subsurface area. One method includes: receiving a set of seismic data associated with the subsurface area; generating analytic source wavefields; generating analytic residual wavefields based on the set of seismic data and an initial reflectivity model; decomposing the analytic source wavefields and the analytic residual wavefields to obtain down-going and up-going components of the analytic source wavefields and the analytic residual wavefields; calculating a gradient vector using the down-going components of the analytic source wavefields and the up-going components of the analytic residual wavefields; calculating a source illumination factor using the down-going components of the analytic source wavefields; calculating a preconditioned gradient vector, based on the gradient vector and the source illumination factor; and generating an updated reflectivity model based on the preconditioned gradient vector.
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