NOISE ATTENTUATION USING A DIPOLE SPARSE TAU-P INVERSION
    2.
    发明申请
    NOISE ATTENTUATION USING A DIPOLE SPARSE TAU-P INVERSION 有权
    使用DIPOLE SPARSE TAU-P逆变器进行噪声识别

    公开(公告)号:US20160223698A1

    公开(公告)日:2016-08-04

    申请号:US14908301

    申请日:2015-03-24

    CPC classification number: G01V1/364 G01V2210/244 G01V2210/324 G01V2210/47

    Abstract: An input seismic data set is obtained, and a first inversion is conducted on a first frequency filtered input seismic data set across all slowness values in the plurality of slowness values using an inversion matrix with dipole modulation containing a plurality of Tau-p operators and a plurality of dipole terms to transform the first frequency filtered input seismic data set from a time domain to a Tau-p domain having a plurality of first inversion Tau-p coefficients. Each Tau-p coefficient associated with one of the plurality of slowness values. The first inversion Tau-p coefficients are used to identify a subset of slowness values from the plurality of slowness values, and iterative sparse Tau-p inversion using the identified subset of slowness values is performed. The input seismic data set is modified to generate a noise attenuated seismic data set based on the iterative sparse Tau-p inversion.

    Abstract translation: 获得输入地震数据集,并且使用具有包含多个Tau-p算子的偶极调制的反演矩阵,在多个慢度值中的所有慢度值上对第一频率滤波的输入地震数据集进行第一反演,以及 多个偶极项,以将来自时域的第一频率滤波的输入地震数据集转换为具有多个第一反演Tau-p系数的Tau-p域。 与多个慢度值之一相关联的每个Tau-p系数。 第一反演Tau-p系数用于识别来自多个慢度值的慢度值的子集,并且使用识别的慢度值子集执行迭代稀疏Tau-p反演。 基于迭代稀疏Tau-p反演,对输入的地震数据组进行修改,生成噪声衰减的地震数据集。

    DEVICE AND METHOD FOR DEGHOSTING SEISMIC DATA USING SPARSE TAU-P INVERSION
    3.
    发明申请
    DEVICE AND METHOD FOR DEGHOSTING SEISMIC DATA USING SPARSE TAU-P INVERSION 审中-公开
    使用微小的TAU-P逆变器降低地震数据的装置和方法

    公开(公告)号:US20160327670A1

    公开(公告)日:2016-11-10

    申请号:US15109840

    申请日:2015-01-08

    Abstract: Computing device, computer instructions and method for improving accuracy of an image of a surveyed subsurface. The method includes a step of receiving seismic data (D) recorded with seismic sensors; a step of deghosting the seismic data (D) using a sparseT-pinversion algorithm together with a low-rank optimization scheme and a high-cut filter to calculate ghost-free wave-fields (U0(t,x,y)) in the time-space domain; and a step of processing the ghost-free wave-fields (U0(t,x,y)) to generate the image of the surveyed subsurface.

    Abstract translation: 计算装置,计算机指令和提高受测地下图像精度的方法。 该方法包括接收用地震传感器记录的地震数据(D)的步骤; 使用稀疏T反转算法以及低阶优化方案和高截止滤波器对地震数据(D)进行消影反射的步骤,以计算无重影波场(U0(t,x,y)) 时空域; 以及处理无重影波场(U0(t,x,y))的步骤,以产生被测地下的图像。

    DEVICE AND METHOD FOR JOINT 3-DIMENSIONAL DEGHOSTING OF MULTIPLE VINTAGES
    4.
    发明申请
    DEVICE AND METHOD FOR JOINT 3-DIMENSIONAL DEGHOSTING OF MULTIPLE VINTAGES 有权
    用于联合三维降解多种葡萄酒的装置和方法

    公开(公告)号:US20160291185A1

    公开(公告)日:2016-10-06

    申请号:US14967558

    申请日:2015-12-14

    Abstract: Computing device, computer instructions and method for jointly deghosting first and second 3-dimensional (3D) seismic vintages of a same subsurface. The method includes receiving the first 3D vintage; receiving the second 3D vintage, wherein the second 3D vintage is taken later in time than the first 3D vintage, over the same subsurface; jointly deghosting the first and second 3D vintages based on a common ghost-free model U0, a first vintage ghost-free model Ub, and a second vintage ghost-free model Um; and generating an image of the subsurface indicative of changes between the first and second 3D vintages based on the common ghost-free model U0.

    Abstract translation: 计算设备,计算机指令和方法,用于联合消除同一地下第一和第三立体(3D)地震年份。 该方法包括接收第一个3D复古; 接收第二3D复古,其中第二3D复古在时间上比第一3D复古在同一地下采用; 基于常见的无鬼模型U0,第一复古无鬼模型Ub和第二复古无重影模型Um,共同消除第一和第二3D年份的衰减。 以及基于所述公共无重影模型U0生成指示所述第一和第二3D年份之间的变化的地下图像。

    PREMIGRATION DEGHOSTING FOR MARINE STREAMER DATA USING A BOOTSTRAP APPROACH IN TAU-P DOMAIN
    5.
    发明申请
    PREMIGRATION DEGHOSTING FOR MARINE STREAMER DATA USING A BOOTSTRAP APPROACH IN TAU-P DOMAIN 审中-公开
    使用TAU-P域中的BOOTSTRAP方法对海上数据采集数据进行降级降级

    公开(公告)号:US20150355357A1

    公开(公告)日:2015-12-10

    申请号:US14759960

    申请日:2014-01-13

    Abstract: Methods and systems for optimized receiver-based ghost filter generation are described. The optimized ghost filter self-determines its parameters based on an iterative calculation of recorded data transformed from a time-space domain to a Tau-P domain. An initial ghost filter prediction is made based on generating mirror data from the recorded data and using a least squares technique during a premigration stage.

    Abstract translation: 描述了用于优化基于接收机的重影滤波器生成的方法和系统。 基于从时空域到Tau-P域的记录数据的迭代计算,优化的重影滤波器自我确定其参数。 基于从记录数据生成镜像数据并在预迁移阶段使用最小二乘法进行初始重滤波器预测。

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