Simultaneous Source Encoding and Source Separation As A Practical Solution For Full Wavefield Inversion
    1.
    发明申请
    Simultaneous Source Encoding and Source Separation As A Practical Solution For Full Wavefield Inversion 有权
    同源信源编码和源分离作为全波场反演的实际解决方案

    公开(公告)号:US20120073825A1

    公开(公告)日:2012-03-29

    申请号:US13229252

    申请日:2011-09-09

    IPC分类号: E21B43/00 G01V1/32

    CPC分类号: G01V1/28 G01V2210/67

    摘要: Method for simultaneous full-wavefield inversion of gathers of source (or receiver) encoded geophysical data to determine a physical properties model (118) for a subsurface region, especially suitable for surveys where fixed receiver geometry conditions were not satisfied in the data acquisition. Simultaneous source separation (104) is performed to lessen any effect of the measured geophysical data's not satisfying the fixed-receiver assumption. A data processing step (106) coming after the simultaneous source separation acts to conform model-simulated data (105) to the measured geophysical data (108) for source and receiver combinations that are missing in the measured geophysical data.

    摘要翻译: 用于同源全波场反演源(或接收机)编码的地球物理数据的方法,以确定地下区域的物理性质模型(118),特别适合于在数据采集中不满足固定接收机几何条件的调查。 执行同源分离(104)以减少测量的地球物理数据不满足固定接收机假设的任何影响。 在同时源分离之后进行的数据处理步骤(106)用于将模拟模拟数据(105)符合测量的地球物理数据(108),用于测量的地球物理数据中缺少的源和接收机组合。

    Simultaneous source encoding and source separation as a practical solution for full wavefield inversion
    2.
    发明授权
    Simultaneous source encoding and source separation as a practical solution for full wavefield inversion 有权
    同源源编码和源分离作为全波场反演的实际解决方案

    公开(公告)号:US08775143B2

    公开(公告)日:2014-07-08

    申请号:US13229252

    申请日:2011-09-09

    IPC分类号: G06G7/48

    CPC分类号: G01V1/28 G01V2210/67

    摘要: Method for simultaneous full-wavefield inversion of gathers of source (or receiver) encoded geophysical data to determine a physical properties model (118) for a subsurface region, especially suitable for surveys where fixed receiver geometry conditions were not satisfied in the data acquisition. Simultaneous source separation (104) is performed to lessen any effect of the measured geophysical data's not satisfying the fixed-receiver assumption. A data processing step (106) coming after the simultaneous source separation acts to conform model-simulated data (105) to the measured geophysical data (108) for source and receiver combinations that are missing in the measured geophysical data.

    摘要翻译: 用于同源全波场反演源(或接收机)编码的地球物理数据的方法,以确定地下区域的物理性质模型(118),特别适合于在数据采集中不满足固定接收机几何条件的调查。 执行同源分离(104)以减少测量的地球物理数据不满足固定接收机假设的任何影响。 在同时源分离之后进行的数据处理步骤(106)用于将模拟模拟数据(105)符合测量的地球物理数据(108),用于测量的地球物理数据中缺少的源和接收机组合。

    Hybrid method for full waveform inversion using simultaneous and sequential source method
    3.
    发明授权
    Hybrid method for full waveform inversion using simultaneous and sequential source method 有权
    使用同步和顺序源方法进行全波形反演的混合方法

    公开(公告)号:US08437998B2

    公开(公告)日:2013-05-07

    申请号:US12903744

    申请日:2010-10-13

    IPC分类号: G06G7/48

    摘要: Method for simultaneous full-wavefield inversion of gathers of source (or receiver) encoded geophysical data to determine a physical properties model for a subsurface region, especially suitable for surveys where fixed receiver geometry conditions were not satisfied in the data acquisition. First, a shallow time window of the data (202) where the fixed receiver condition is satisfied is inverted by simultaneous encoded (203) source inversion (205). Then, the deeper time window of the data (208) is inverted by sparse sequential source inversion (209), using the physical properties model from the shallow time window (206) as a starting model (207). Alternatively, the shallow time window model is used to simulate missing far offset data (211) producing a data set satisfying the stationary receiver assumption, after which this data set is source encoded (212) and inverted by simultaneous source inversion (214).

    摘要翻译: 源(或接收机)编码地球物理数据的同时全波场反演方法,以确定地下区域的物理性质模型,特别适用于在数据采集中不满足固定接收机几何条件的调查。 首先,通过同时编码(203)源反转(205)来反转其中满足固定接收机条件的数据(202)的浅时间窗口。 然后,使用来自浅时间窗口(206)的物理属性模型作为起始模型(207),通过稀疏顺序源反转(209)将数据(208)的更深的时间窗口反转。 或者,浅时间窗模型用于模拟产生满足固定接收机假设的数据集的丢失远偏移数据(211),之后该数据集被源编码(212)并且由同时源反转(214)反转。

    Hybride Method For Full Waveform Inversion Using Simultaneous and Sequential Source Method
    4.
    发明申请
    Hybride Method For Full Waveform Inversion Using Simultaneous and Sequential Source Method 有权
    使用同时和顺序源方法进行全波形反演的Hybride方法

    公开(公告)号:US20120073824A1

    公开(公告)日:2012-03-29

    申请号:US12903744

    申请日:2010-10-13

    IPC分类号: E21B43/00 G06G7/48

    摘要: Method for simultaneous full-wavefield inversion of gathers of source (or receiver) encoded geophysical data to determine a physical properties model for a subsurface region, especially suitable for surveys where fixed receiver geometry conditions were not satisfied in the data acquisition. First, a shallow time window of the data (202) where the fixed receiver condition is satisfied is inverted by simultaneous encoded (203) source inversion (205). Then, the deeper time window of the data (208) is inverted by sparse sequential source inversion (209), using the physical properties model from the shallow time window (206) as a starting model (207). Alternatively, the shallow time window model is used to simulate missing far offset data (211) producing a data set satisfying the stationary receiver assumption, after which this data set is source encoded (212) and inverted by simultaneous source inversion (214).

    摘要翻译: 源(或接收机)编码地球物理数据的同时全波场反演方法,以确定地下区域的物理性质模型,特别适用于在数据采集中不满足固定接收机几何条件的调查。 首先,通过同时编码(203)源反转(205)来反转其中满足固定接收机条件的数据(202)的浅时间窗口。 然后,使用来自浅时间窗口(206)的物理属性模型作为起始模型(207),通过稀疏顺序源反转(209)将数据(208)的更深的时间窗口反转。 或者,浅时间窗模型用于模拟产生满足固定接收机假设的数据集的丢失远偏移数据(211),之后该数据集被源编码(212)并且由同时源反转(214)反转。

    Seismic Data Processing
    7.
    发明申请
    Seismic Data Processing 有权
    地震数据处理

    公开(公告)号:US20130003500A1

    公开(公告)日:2013-01-03

    申请号:US13614932

    申请日:2012-09-13

    IPC分类号: G01V1/28

    摘要: The invention includes a method for reducing noise in migration of seismic data, particularly advantageous for imaging by simultaneous encoded source reverse-time migration (SS-RTM). One example embodiment includes the steps of obtaining a plurality of initial subsurface images; decomposing each of the initial subsurface images into components; identifying a set of components comprising one of (i) components having at least one substantially similar characteristic across the plurality of initial subsurface images, and (ii) components having substantially dissimilar characteristics across the plurality of initial subsurface images; and generating an enhanced subsurface image using the identified set of components. For SS-RTM, each of the initial subsurface images is generated by migrating several sources simultaneously using a unique random set of encoding functions. Another embodiment of the invention uses SS-RTM for velocity model building.

    摘要翻译: 本发明包括一种降低地震数据迁移噪声的方法,特别有利于通过同时编码的源反向时间迁移(SS-RTM)进行成像。 一个示例实施例包括获得多个初始地下图像的步骤; 将每个初始地下图像分解成分量; 识别包括(i)在所述多个初始地下图像中具有至少一个基本上相似的特征的分量之一的组件集合;以及(ii)在所述多个初始地下图像之间具有基本不相似特征的分量; 以及使用所识别的组件集合来生成增强的地下图像。 对于SS-RTM,每个初始地下图像都是通过使用唯一随机的编码函数集同时迁移多个源来生成的。 本发明的另一个实施例使用SS-RTM进行速度模型建立。

    Seismic Data Processing
    8.
    发明申请
    Seismic Data Processing 审中-公开
    地震数据处理

    公开(公告)号:US20120275267A1

    公开(公告)日:2012-11-01

    申请号:US13430380

    申请日:2012-03-26

    IPC分类号: G01V1/28

    CPC分类号: G01V1/28 G01V2210/51

    摘要: Provided is a method for processing seismic data. One exemplary embodiment includes the steps of obtaining a plurality of initial subsurface images; decomposing each of the initial subsurface images into components; identifying a set of components comprising one of (i) components having at least one substantially similar characteristic across the plurality of initial subsurface images, and (ii) components having substantially dissimilar characteristics across the plurality of initial subsurface images; and generating an enhanced subsurface image using the identified set of components. Each of the initial subsurface images is generated using a unique random set of encoding functions.

    摘要翻译: 提供了一种处理地震数据的方法。 一个示例性实施例包括获得多个初始地下图像的步骤; 将每个初始地下图像分解成分量; 识别包括(i)在所述多个初始地下图像中具有至少一个基本上相似的特征的分量之一的组件集合;以及(ii)在所述多个初始地下图像之间具有基本不相似特征的分量; 以及使用所识别的组件集合来生成增强的地下图像。 使用唯一随机的编码函数集来生成每个初始地下图像。