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1. 发明申请

US20100284573A1 Reducing noise in 3D seismic data while preserving structural details 有权
标题翻译：减少三维地震数据中的噪音，同时保留结构细节
公开(公告)号：US20100284573A1
公开(公告)日：2010-11-11
申请号：US12454091
申请日：2009-05-11
申请人： Yuchun Eugene WANG , Saleh AL-DOSSARY
发明人： Yuchun Eugene WANG , Saleh AL-DOSSARY
IPC分类号： G06K9/40 , G06K9/00
CPC分类号： G01V1/364 , G01V2210/3248 , G06T5/002 , G06T2207/20012 , G06T2207/20032 , G06T2207/20192
摘要： A system and method perform structure-preserving smoothing (SPS) using a data adaptive method for smoothing 3D post-stacked seismic attributes which reduces random noise while preserving the structure without prior computation of its orientation. The data is smoothed within a neighborhood sub-window along a set of predefined orientations, and the best smoothing result is then selected for output. The orientation corresponding to the best result often approximates the true structure orientation embedded in the data, so that the embedded structure is thus preserved. The SPS method can also be combined with median, alpha-trim, symmetric near neighbor, or edge-preserving filters. The SPS method is an effective way to reduce random noise and eliminate noise footprints, and to enhance coherence and curvature attributes.
摘要翻译：一种系统和方法使用数据自适应方法来执行结构保持平滑（SPS），用于平滑3D后堆叠地震属性，其减少随机噪声，同时保留结构而不事先计算其取向。沿着一组预定义方向在邻域子窗口内平滑数据，然后选择最佳平滑结果进行输出。对应于最佳结果的方向通常接近嵌入在数据中的真实结构方向，从而保持嵌入式结构。 SPS方法也可以与中值，alpha修剪，对称近邻或边缘保留滤波器组合。 SPS方法是减少随机噪声和消除噪声足迹的有效方法，并增强相干性和曲率属性。

2. 发明申请

US20100027848A1 Structure-independent analysis of 3-D seismic random noise 有权
标题翻译： 3-D地震随机噪声的结构独立分析
公开(公告)号：US20100027848A1
公开(公告)日：2010-02-04
申请号：US12221628
申请日：2008-08-04
申请人： Saleh Al-Dossary , Yuchun Eugene Wang
发明人： Saleh Al-Dossary , Yuchun Eugene Wang
IPC分类号： G06K9/00
CPC分类号： G06K9/0051 , G01V1/362 , G01V2210/32
摘要： A system and method identify and display random noise in three dimensional (3-D) seismic data utilizing a 3-D operator to reduce the effects of seismic structure on noise identification. The 3-D operator is derived using statements of required performance in 3-D. The 3-D operator is applied on a pixel-by-pixel basis to each of the pixels in the 3-D post-stacked data to display images in a 3-D display or to output an estimate of noise that is substantially independent of the image structure. The resulting display is generated in colors to indicate noise amplitude to facilitate location of noisy regions in the original display.
摘要翻译：系统和方法利用3-D算子在三维（3-D）地震数据中识别和显示随机噪声，以减少地震结构对噪声识别的影响。 3-D运算符是使用3-D中所需性能的语句导出的。 3-D运算符以逐像素为基础施加到3-D堆叠后数据中的每个像素以在3-D显示器中显示图像或输出基本上独立于图像结构。产生的显示以颜色生成以指示噪声幅度，以便于原始显示中的噪声区域的定位。

3. 发明授权

US08855440B2 Structure-independent analysis of 3-D seismic random noise 有权
标题翻译： 3-D地震随机噪声的结构独立分析
公开(公告)号：US08855440B2
公开(公告)日：2014-10-07
申请号：US12221628
申请日：2008-08-04
申请人： Saleh Al-Dossary , Yuchun Eugene Wang
发明人： Saleh Al-Dossary , Yuchun Eugene Wang
IPC分类号： G06K9/00 , G01V1/36
CPC分类号： G06K9/0051 , G01V1/362 , G01V2210/32
摘要： A system and method identify and display random noise in three dimensional (3-D) seismic data utilizing a 3-D operator to reduce the effects of seismic structure on noise identification. The 3-D operator is derived using statements of required performance in 3-D. The 3-D operator is applied on a pixel-by-pixel basis to each of the pixels in the 3-D post-stacked data to display images in a 3-D display or to output an estimate of noise that is substantially independent of the image structure. The resulting display is generated in colors to indicate noise amplitude to facilitate location of noisy regions in the original display.
摘要翻译：系统和方法利用3-D算子在三维（3-D）地震数据中识别和显示随机噪声，以减少地震结构对噪声识别的影响。 3-D运算符是使用3-D中所需性能的语句导出的。 3-D运算符以逐像素为基础施加到3-D堆叠后数据中的每个像素以在3-D显示器中显示图像或输出基本上独立于图像结构。产生的显示以颜色生成以指示噪声幅度，以便于原始显示中的噪声区域的定位。

4. 发明授权

US08170288B2 Reducing noise in 3D seismic data while preserving structural details 有权
标题翻译：减少三维地震数据中的噪音，同时保留结构细节
公开(公告)号：US08170288B2
公开(公告)日：2012-05-01
申请号：US12454091
申请日：2009-05-11
申请人： Yuchun Eugene Wang , Saleh Al-Dossary
发明人： Yuchun Eugene Wang , Saleh Al-Dossary
IPC分类号： G06K9/00
CPC分类号： G01V1/364 , G01V2210/3248 , G06T5/002 , G06T2207/20012 , G06T2207/20032 , G06T2207/20192
摘要： A system and method perform structure-preserving smoothing (SPS) using a data adaptive method for smoothing 3D post-stacked seismic attributes which reduces random noise while preserving the structure without prior computation of its orientation. The data is smoothed within a neighborhood sub-window along a set of predefined orientations, and the best smoothing result is then selected for output. The orientation corresponding to the best result often approximates the true structure orientation embedded in the data, so that the embedded structure is thus preserved. The SPS method can also be combined with median, alpha-trim, symmetric near neighbor, or edge-preserving filters. The SPS method is an effective way to reduce random noise and eliminate noise footprints, and to enhance coherence and curvature attributes.
摘要翻译：一种系统和方法使用数据自适应方法来执行结构保持平滑（SPS），用于平滑3D后堆叠地震属性，其减少随机噪声，同时保留结构而不事先计算其取向。沿着一组预定义方向在邻域子窗口内平滑数据，然后选择最佳平滑结果进行输出。对应于最佳结果的方向通常接近嵌入在数据中的真实结构方向，从而保持嵌入式结构。 SPS方法也可以与中值，alpha修剪，对称近邻或边缘保留滤波器组合。 SPS方法是减少随机噪声和消除噪声足迹的有效方法，并增强相干性和曲率属性。

5. 发明授权

US07454292B2 Inverse-vector method for smoothing dips and azimuths 有权
标题翻译：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
申请人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
发明人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
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。

6. 发明申请

US20080260258A1 Enhanced isotropic 2D and 3D gradient method 有权
标题翻译：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
申请人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
发明人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
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。

7. 发明授权

US07653258B2 Enhanced isotropic 2D and 3D gradient method 有权
标题翻译：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
申请人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
发明人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
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。

8. 发明申请

US20080255761A1 INVERSE-VECTOR METHOD FOR SMOOTHING DIPS AND AZIMUTHS 有权
标题翻译：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
申请人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
发明人： Yuchun Eugene Wang , Yi Luo , Mohammed N. Alfaraj
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。

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