Inverse-vector method for smoothing dips and azimuths
    1.
    发明授权
    Inverse-vector method for smoothing dips and azimuths 有权
    用于平滑凹陷和方位角的逆矢量方法

    公开(公告)号:US07454292B2

    公开(公告)日:2008-11-18

    申请号:US11787246

    申请日:2007-04-13

    IPC分类号: G06F17/50

    CPC分类号: G01V1/28

    摘要: A system and method using inverse-vector processing to iterate through a loop of three steps: set a guide direction, invert opposite vectors, and average vectors to update the guide direction, for smoothing seismic amplitude data. The inverse-vector method can overcome instabilities where the traditional structure-tensor approach fails. The inverse-vector smoothing is simple to implement and more computational efficient. The resultant dips and azimuths are spatially consistent and thus more interpretable and suitable for calculation of curvature and other dip based attributes.

    摘要翻译: 一种使用逆向量处理来迭代三个步骤的循环的系统和方法:设置引导方向,反向向量反转和平均向量以更新引导方向,以平滑地震幅度数据。 逆向量法可以克服传统结构张量方法失效的不稳定性。 逆矢量平滑实现简单,计算效率更高。 所得到的倾斜和方位角在空间上是一致的,因此更可解释并且适合于计算曲率和其他基于倾斜的属性。

    Enhanced isotropic 2D and 3D gradient method
    2.
    发明申请
    Enhanced isotropic 2D and 3D gradient method 有权
    增强各向同性2D和3D梯度法

    公开(公告)号:US20080260258A1

    公开(公告)日:2008-10-23

    申请号:US11787986

    申请日:2007-04-17

    IPC分类号: G06K9/48

    CPC分类号: G06T5/20 G06T2207/20004

    摘要: A system and method use 2D and 3D numerical gradient operators for reducing anisotropic inaccuracies in digital image processing. Enhanced isotropic operators are derived by first parameterizing corresponding numerical operators, followed by determining the parameters for the operators by matching analytical gradients with numerical gradients, which produces generic frequency-independent operators. The system and method also optimize the design of operators for use at any given frequency range needed for any special purpose application.

    摘要翻译: 一种系统和方法使用2D和3D数值梯度算子来减少数字图像处理中的各向异性误差。 通过首先对相应的数值运算符进行参数化,然后通过匹配具有数值梯度的分析梯度来确定运算符的参数,从而导出增强的各向同性运算符,这产生了通用频率无关运算符。 该系统和方法还优化了用于任何特殊用途应用所需的任何给定频率范围的操作员的设计。

    Enhanced isotropic 2D and 3D gradient method
    3.
    发明授权
    Enhanced isotropic 2D and 3D gradient method 有权
    增强各向同性2D和3D梯度法

    公开(公告)号:US07653258B2

    公开(公告)日:2010-01-26

    申请号:US11787986

    申请日:2007-04-17

    IPC分类号: G06K9/36

    CPC分类号: G06T5/20 G06T2207/20004

    摘要: A system and method use 2D and 3D numerical gradient operators for reducing anisotropic inaccuracies in digital image processing. Enhanced isotropic operators are derived by first parameterizing corresponding numerical operators, followed by determining the parameters for the operators by matching analytical gradients with numerical gradients, which produces generic frequency-independent operators. The system and method also optimize the design of operators for use at any given frequency range needed for any special purpose application.

    摘要翻译: 一种系统和方法使用2D和3D数值梯度算子来减少数字图像处理中的各向异性误差。 通过首先对相应的数值运算符进行参数化,然后通过匹配具有数值梯度的分析梯度来确定运算符的参数,从而导出增强的各向同性运算符,这产生了通用频率无关运算符。 该系统和方法还优化了用于任何特殊用途应用所需的任何给定频率范围的操作员的设计。

    INVERSE-VECTOR METHOD FOR SMOOTHING DIPS AND AZIMUTHS
    4.
    发明申请
    INVERSE-VECTOR METHOD FOR SMOOTHING DIPS AND AZIMUTHS 有权
    用于吸收DIPS和AZIMUTHS的反向矢量方法

    公开(公告)号:US20080255761A1

    公开(公告)日:2008-10-16

    申请号:US11787246

    申请日:2007-04-13

    IPC分类号: G06F17/50 G06F19/00

    CPC分类号: G01V1/28

    摘要: A system and method using inverse-vector processing to iterate through a loop of three steps: set a guide direction, invert opposite vectors, and average vectors to update the guide direction, for smoothing seismic amplitude data. The inverse-vector method can overcome instabilities where the traditional structure-tensor approach fails. The inverse-vector smoothing is simple to implement and more computational efficient. The resultant dips and azimuths are spatially consistent and thus more interpretable and suitable for calculation of curvature and other dip based attributes.

    摘要翻译: 一种使用逆向量处理来迭代三个步骤的循环的系统和方法:设置引导方向,反向向量反转和平均向量以更新引导方向,以平滑地震幅度数据。 逆向量法可以克服传统结构张量方法失效的不稳定性。 逆矢量平滑实现简单,计算效率更高。 所得到的倾斜和方位角在空间上是一致的,因此更可解释并且适合于计算曲率和其他基于倾斜的属性。