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公开(公告)号:US10459096B2
公开(公告)日:2019-10-29
申请号:US15614960
申请日:2017-06-06
Applicant: Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
Inventor: Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
Abstract: A method for iteratively inverting seismic data to jointly infer a model for at least P-wave velocity and attenuation parameters of the subsurface, the method including: jointly inverting the P-wave velocity and attenuation parameters with an iterative visco-acoustic full wavefield inversion process, wherein the iterative visco-acoustic full wavefield inversion process includes computing a gradient of an objective function, the objective function measuring a misfit between all or part of the seismic data and corresponding model-simulated seismic data; for each of the P-wave velocity and attenuation parameters, computing a search direction in model space from the gradient; determining line search step sizes α and β for the search directions for the P-wave velocity and attenuation parameters, respectively, wherein a ratio of the step sizes is a function of the P-wave velocity parameter; and using the step sizes α and β and the search directions for each of the P-wave velocity and attenuation parameters, computing a new search direction in model space, then performing a line search along the new search direction to arrive at a new step size, and using the new step size and the new search direction to generate an updated model for a current iteration of the iterative visco-acoustic full wavefield inversion process.
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公开(公告)号:US11340366B2
公开(公告)日:2022-05-24
申请号:US16571950
申请日:2019-09-16
Applicant: Anatoly I. Baumstein , Gboyega Ayeni , Carey M. Marcinkovich , Jaewoo Park , Sirui Tan , Peter Traynin
Inventor: Anatoly I. Baumstein , Gboyega Ayeni , Carey M. Marcinkovich , Jaewoo Park , Sirui Tan , Peter Traynin
Abstract: Iterative methods for inversion of seismic data to update a physical property model are disclosed. Such methods may comprise iteratively updating the model until a first predetermined resolution is achieved, using full wavefield inversion of the seismic data up to a first frequency threshold and assuming the seismic data is free of attenuation effects; extracting geobodies from the updated model; obtaining a Q model using the geobodies; and updating the physical property model using an inversion process, wherein the Q model is incorporated into the inversion process. These steps may be repeated until a second predetermined resolution of the physical property model is achieved, wherein the first frequency threshold is progressively increased in each repetition. The Q model may be updated with seismic data at all available frequencies to obtain a full-band Q model; and the physical property model may be updated using full-band migration and the full-band Q model.
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公开(公告)号:US20180017690A1
公开(公告)日:2018-01-18
申请号:US15614960
申请日:2017-06-06
Applicant: Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
Inventor: Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
Abstract: A method for iteratively inverting seismic data to jointly infer a model for at least P-wave velocity and attenuation parameters of the subsurface, the method including: jointly inverting the P-wave velocity and attenuation parameters with an iterative visco-acoustic full wavefield inversion process, wherein the iterative visco-acoustic full wavefield inversion process includes computing a gradient of an objective function, the objective function measuring a misfit between all or part of the seismic data and corresponding model-simulated seismic data; for each of the P-wave velocity and attenuation parameters, computing a search direction in model space from the gradient; determining line search step sizes α and β for the search directions for the P-wave velocity and attenuation parameters, respectively, wherein a ratio of the step sizes is a function of the P-wave velocity parameter; and using the step sizes α and β and the search directions for each of the P-wave velocity and attenuation parameters, computing a new search direction in model space, then performing a line search along the new search direction to arrive at a new step size, and using the new step size and the new search direction to generate an updated model for a current iteration of the iterative visco-acoustic full wavefield inversion process.
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