公开(公告)号：US10942287B2

公开(公告)日：2021-03-09

申请号：US15777089

申请日：2016-01-15

Applicant: Landmark Graphics Corporation

Inventor： Fan Xia ,  Shengwen Jin

IPC: G01V1/50 ,  G01V1/30 ,  G01V1/40 ,  G01V1/36

Abstract: Methods and systems are presented in this disclosure for semblance-based anisotropy parameter estimation using isotropic depth-migrated common image gathers. Far-offset image gathers can be generated from seismic data associated with a subterranean formation migrated based on an isotropic depth migration that uses an isotropic velocity model. Based on the far-offset image gathers, a plurality of semblance values can be calculated as a function of an anisotropy parameter of the subterranean formation for the different depths and the surface locations. Effective values of the anisotropy parameter of the subterranean formation can be then chosen that result in maxima of the plurality of semblance values for the different depths and the surface locations. Anisotropy model of the subterranean formation can be obtained based on the effective values of the anisotropy parameter.

公开(公告)号：US10908309B2

公开(公告)日：2021-02-02

申请号：US15567122

申请日：2016-10-25

Applicant: Landmark Graphics Corporation

Inventor： Fan Xia

IPC: G01V1/36 ,  G01V1/28 ,  G01V1/30

Abstract: An apparatus and a method for estimating interval anellipticity parameter by inversing effective anellipticity parameter in the depth domain using a least-squares method. One embodiment of interval anellipticity parameter estimator includes: 1) an interface configured to receive seismic data and borehole information; 2) a depth convertor configured to obtain a function of depth of effective anisotropy parameter based on said borehole information; 3) an inverse transformer configured to set up said function of depth of effective anisotropy parameter as a least-squares fitting problem based on said P-wave data; and 4) an iterative solver configured to use iterative methods to solve said least-squares fitting problem and to obtain an anisotropy model containing interval anellipticity parameter.

公开(公告)号：US09869783B2

公开(公告)日：2018-01-16

申请号：US15025659

申请日：2015-09-08

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： Shengwen Jin ,  Shiyong Xu ,  Fan Xia ,  Richard Ottolini ,  Yiqing Ren

IPC: G01V1/30 ,  G01V1/38

CPC classification number: G01V1/303 ,  G01V1/38

Abstract: An example method for tomographic migration velocity analysis may include collecting seismographic traces from a subterranean formation and using an initial velocity model to generate common image gathers and a depth image volume based, at least in part, on the seismographic traces. A structure tensor may be computed with the depth image volume for automated structural dip and azimuth estimation. A semblance may be generated using said plurality of common image gathers and said structure tensor. Image depth residuals may be automatically picked from said semblance. A ray tracing computation may be performed on said initial velocity models using said structure tensor. An updated velocity model may be generated with a tomographic inversion computation, wherein said tomographic inversion computation uses said plurality of image depth residuals and said ray tracing computation.

公开(公告)号：US20180335533A1

公开(公告)日：2018-11-22

申请号：US15777089

申请日：2016-01-15

Applicant: Landmark Graphics Corporation

Inventor： Fan Xia ,  Shengwen Jin

IPC: G01V1/30 ,  G01V1/36

CPC classification number: G01V1/50 ,  G01V1/40

Abstract: Methods and systems are presented in this disclosure for semblance-based anisotropy parameter estimation using isotropic depth-migrated common image gathers. Far-offset image gathers can be generated from seismic data associated with a subterranean formation migrated based on an isotropic depth migration that uses an isotropic velocity model. Based on the far-offset image gathers, a plurality of semblance values can be calculated as a function of an anisotropy parameter of the subterranean formation for the different depths and the surface locations. Effective values of the anisotropy parameter of the subterranean formation can be then chosen that result in maxima of the plurality of semblance values for the different depths and the surface locations. Anisotropy model of the subterranean formation can be obtained based on the effective values of the anisotropy parameter.