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    METHODS AND SYSTEMS FOR SEISMIC MODELING USING MULTIPLE SEISMIC SOURCE TYPES
    1.
    发明申请
    METHODS AND SYSTEMS FOR SEISMIC MODELING USING MULTIPLE SEISMIC SOURCE TYPES 审中-公开
    使用多种地震源类型进行地震建模的方法与系统

    公开(公告)号：US20150346385A1

    公开(公告)日：2015-12-03

    申请号：US14649192

    申请日：2013-12-10

    Applicant: LANDMARK GRAPHICS CORPORATION

    Inventor： Shengwen Jin ,  Fan Jiang ,  Yiqing Ren

    IPC: G01V99/00

    CPC classification number: G01V99/005 ,  G01V11/00 ,  G01V99/00 ,  G01V2210/645 ,  G01V2210/66 ,  G01V2210/67

    Abstract: Seismic Modeling Using Multiple Seismic Sources. At least some of the illustrative embodiments are methods including: simulating an effect of multiple seismic sources concurrently on a geologic formation, the simulating by: reading data from a seismic source file, wherein the seismic source file describes at least two seismic source types; modeling, by a computer system, the concurrent propagation of acoustic energy from the at least two seismic sources types through the geologic formation; and generating a seismic output file.

    Abstract translation: 使用多个地震源的地震建模。 示例性实施例中的至少一些是包括：通过以下步骤模拟多个地震源的多个地震源的影响：模拟地震源文件中的数据，其中所述地震源文件描述至少两个地震源类型; 通过计算机系统建模，通过地质构造从至少两个地震源类型同时传播声能; 并产生地震输出文件。

    Semblance-based anisotropy parameter estimation using isotropic depth-migrated common image gathers
    2.
    发明授权
    Semblance-based anisotropy parameter estimation using isotropic depth-migrated common image gathers 有权

    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.

    Structure tensor constrained tomographic velocity analysis
    5.
    发明授权
    Structure tensor constrained tomographic velocity analysis 有权

    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.

    Semblance-Based Anisotropy Parameter Estimation Using Isotropic Depth-Migrated Common Image Gathers
    6.
    发明申请
    Semblance-Based Anisotropy Parameter Estimation Using Isotropic Depth-Migrated Common Image Gathers 审中-公开

    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.

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