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公开(公告)号：US10670750B2
公开(公告)日：2020-06-02
申请号：US14922276
申请日：2015-10-26
申请人： Tetyana Vdovina , Reeshidev Bansal , Anatoly Baumstein , Yaxun Tang , Di Yang
发明人： Tetyana Vdovina , Reeshidev Bansal , Anatoly Baumstein , Yaxun Tang , Di Yang
摘要： A multi-stage FWI workflow uses multiple-contaminated FWI models to predict surface-related multiples. A method embodying the present technological advancement, can include: using data with free surface multiples as input into FWI; generating a subsurface model by performing FWI with the free-surface boundary condition imposed on top of the subsurface model; using inverted model from FWI to predict multiples; removing predicted multiples from the measured data; using the multiple-free data as input into FWI with absorbing boundary conditions imposed on top of the subsurface model; and preparing a multiple free data set for use in conventional seismic data processing.
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2.发明申请Multistage Full Wavefield Inversion Process That Generates A Multiple Free Data Set 审中-公开多级全波场反演过程，产生多个自由数据集公开(公告)号：US20160238722A1
公开(公告)日：2016-08-18
申请号：US14922276
申请日：2015-10-26
申请人： Tetyana VDOVINA , Reeshidev Bansal , Anatoly Baumstein , Yaxun Tang , Di Yang
发明人： Tetyana VDOVINA , Reeshidev Bansal , Anatoly Baumstein , Yaxun Tang , Di Yang
摘要： A multi-stage FWI workflow uses multiple-contaminated FWI models to predict surface-related multiples. A method embodying the present technological advancement, can include: using data with free surface multiples as input into FWI; generating a subsurface model by performing FWI with the free-surface boundary condition imposed on top of the subsurface model; using inverted model from FWI to predict multiples; removing predicted multiples from the measured data; using the multiple-free data as input into FWI with absorbing boundary conditions imposed on top of the subsurface model; and preparing a multiple free data set for use in conventional seismic data processing.
摘要翻译： 多阶段FWI工作流程使用多重污染的FWI模型来预测表面相关的倍数。 体现本技术进步的方法可以包括：将具有自由曲面倍数的数据用作FWI的输入; 通过施加在地下模型顶部的自由表面边界条件执行FWI来产生地下模型; 使用FWI的倒置模型预测倍数; 从测量数据中消除预测的倍数; 使用多重数据作为输入到FWI，吸收边界条件施加在地下模型顶部; 并准备用于常规地震数据处理的多个空闲数据集。
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公开(公告)号：US10338244B2
公开(公告)日：2019-07-02
申请号：US15477417
申请日：2017-04-03
申请人： Anatoly I Baumstein , Di Yang , Tetyana Vdovina , Yaxun Tang
发明人： Anatoly I Baumstein , Di Yang , Tetyana Vdovina , Yaxun Tang
摘要： A method, including performing, with a computer, up/down separation of geophysical data, which produces an approximate up-going wavefield and an approximate down-going wavefield; creating an areal source based at least in part on the down-going wavefield; and performing, with a computer, a full wavefield inversion process with the areal source, and an objective function measuring a misfit between modeled up-going wavefields and recorded up-going wavefields, wherein the full wavefield inversion process generates a final subsurface physical property model.
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公开(公告)号：US20170307770A1
公开(公告)日：2017-10-26
申请号：US15477417
申请日：2017-04-03
申请人： Anatoly I. BAUMSTEIN , Di Yang , Tetyana Vdovina , Yaxun Tang
发明人： Anatoly I. BAUMSTEIN , Di Yang , Tetyana Vdovina , Yaxun Tang
CPC分类号： G01V1/282 , G01V1/303 , G01V2210/614 , G01V2210/6222 , G01V2210/66 , G01V2210/679
摘要： A method, including performing, with a computer, up/down separation of geophysical data, which produces an approximate up-going wavefield and an approximate down-going wavefield; creating an areal source based at least in part on the down-going wavefield; and performing, with a computer, a full wavefield inversion process with the areal source, and an objective function measuring a misfit between modeled up-going wavefields and recorded up-going wavefields, wherein the full wavefield inversion process generates a final subsurface physical property model.
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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
申请人： Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
发明人： Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
摘要： 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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6.发明申请公开(公告)号：US20180017690A1
公开(公告)日：2018-01-18
申请号：US15614960
申请日：2017-06-06
申请人： Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
发明人： Sirui Tan , Yaxun Tang , Anatoly I. Baumstein , Gboyega Ayeni , Tetyana Vdovina , Thomas A. Dickens
摘要： 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：US20130311149A1
公开(公告)日：2013-11-21
申请号：US13849270
申请日：2013-03-22
申请人： Yaxun Tang , Sunwoong Lee , Anatoly Baumstein , David L. Hinkley
发明人： Yaxun Tang , Sunwoong Lee , Anatoly Baumstein , David L. Hinkley
IPC分类号： G06F17/50
摘要： Method for improving convergence in gradient-based iterative inversion of seismic data (101), especially advantageous for full wavefield inversion. The method comprises decomposing the gradient into two (or more) components (103), typically the migration component and the tomographic component, then weighting the components to compensate for unequal frequency content in the data (104), then recombining the weighted components (105), and using the recombined gradient to update (106) the physical properties model (102).
摘要翻译： 改进地震数据梯度迭代反演收敛的方法（101），特别适用于全波场反演。 该方法包括将梯度分解为两个（或多个）分量（103），通常是迁移分量和断层分量，然后对分量进行加权以补偿数据（104）中的不等频率内容，然后将加权分量（105 ），并使用重组梯度更新（106）物理性质模型（102）。
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公开(公告)号：US10895655B2
公开(公告)日：2021-01-19
申请号：US15989280
申请日：2018-05-25
申请人： William Curry , Yaxun Tang
发明人： William Curry , Yaxun Tang
摘要： A computer-implemented method for generating missing frequencies within geophysical data, said method including: decomposing, with a computer, geophysical data into frequencies and slowness or wavenumber along time and one or more spatial dimensions; estimating, with a computer, a filter across known frequencies within the geophysical data for each time, spatial dimension, and slowness or wavenumber sample; extrapolating or interpolating, with a computer, the missing frequencies from the known frequencies by applying the filter; recomposing, with a computer, the known frequencies and the missing frequencies back into time and the one or more spatial dimensions; and prospecting for hydrocarbons with geophysical data that includes the missing frequencies.
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9.发明申请Accelerating Full Wavefield Inversion with Nonstationary Point-Spread Functions 审中-公开用非稳态点扩散函数加速全波场反演公开(公告)号：US20150073755A1
公开(公告)日：2015-03-12
申请号：US14330767
申请日：2014-07-14
申请人： Yaxun Tang , Sunwoong Lee
发明人： Yaxun Tang , Sunwoong Lee
CPC分类号： G01V1/28 , G01V2210/66 , G06F17/5009 , G06F2217/16
摘要： Method for reducing computational time in inversion of geophysical data to infer a physical property model (91), especially advantageous in full wavefield inversion of seismic data. An approximate Hessian is pre-calculated by computing the product of the exact Hessian and a sampling vector composed of isolated point diffractors (82), and the approximate Hessian is stored in computer hard disk or memory (83). The approximate Hessian is then retrieved when needed (99) for computing its product with the gradient (93) of an objective function or other vector. Since the approximate Hessian is very sparse (diagonally dominant), its product with a vector may therefore be approximated very efficiently with good accuracy. Once the approximate Hessian is computed and stored, computing its product with a vector requires no simulator calls (wavefield propagations) at all. The pre-calculated approximate Hessian can also be reused in the subsequent steps whenever necessary.
摘要翻译： 减少地球物理数据反演中的计算时间推断物理性质模型的方法（91），在地震数据的全波场反演中特别有利。 通过计算确切的Hessian和由孤立点衍射器（82）组成的采样矢量的乘积，预先计算近似的Hessian，并将近似Hessian存储在计算机硬盘或存储器（83）中。 然后，当需要（99）用于使用目标函数或其他向量的梯度（93）计算其乘积时，检索近似的Hessian。 由于近似的Hessian是非常稀疏的（对角占优势的），因此可以非常有效地逼近具有向量的乘积。 一旦计算和存储近似的Hessian，用矢量计算其乘积就不需要模拟器调用（波场传播）。 预先计算的近似黑森西也可以在随后的步骤中重复使用。
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10.发明授权公开(公告)号：US10739480B2
公开(公告)日：2020-08-11
申请号：US15893898
申请日：2018-02-12
摘要： A computer-implemented method for updating subsurface models including: using an offset continuation approach to update the model, and at each stage defining a new objective function where a maximum offset for each stage is set, wherein the approach includes, performing a first stage iterative full wavefield inversion with near offset data, as the maximum offset, to obtain velocity and density or impedance models, performing subsequent stages of iterative full wavefield inversion, each generating updated models, relative to a previous stage, wherein the subsequent stages include incrementally expanding the maximum offset until ending at a full offset, wherein a last of the stages yields finally updated models, the subsequent stages use the updated models as starting models, and the full wavefield inversions include constraining scales of the velocity model updates at each stage of inversion as a function of velocity resolution; and using the finally updated models to prospect for hydrocarbons.
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