Invention Grant
- Patent Title: Semblance-based anisotropy parameter estimation using isotropic depth-migrated common image gathers
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Application No.: US15777089Application Date: 2016-01-15
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Publication No.: US10942287B2Publication Date: 2021-03-09
- Inventor: Fan Xia , Shengwen Jin
- Applicant: Landmark Graphics Corporation
- Applicant Address: US TX Houston
- Assignee: Landmark Graphics Corporation
- Current Assignee: Landmark Graphics Corporation
- Current Assignee Address: US TX Houston
- Agency: Haynes and Boone, LLP
- International Application: PCT/US2016/013563 WO 20160115
- International Announcement: WO2017/123240 WO 20170720
- Main IPC: G01V1/50
- 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.
Public/Granted literature
- US20180335533A1 Semblance-Based Anisotropy Parameter Estimation Using Isotropic Depth-Migrated Common Image Gathers Public/Granted day:2018-11-22
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