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1. 发明授权

US06791900B2 Method of calculating a throw volume for quantitative fault analysis 有权
标题翻译：计算定量故障分析投掷量的方法
公开(公告)号：US06791900B2
公开(公告)日：2004-09-14
申请号：US10430173
申请日：2003-05-06
申请人： Dominique G. Gillard , John E. Eastwood , Brian P. West , Theodore G. Apotria
发明人： Dominique G. Gillard , John E. Eastwood , Brian P. West , Theodore G. Apotria
IPC分类号： G01V136
CPC分类号： G01V1/30
摘要： A method of calculating a throw volume corresponding to a seismic data volume. A range of time shifts and a search direction for the seismic data volume are selected. A data location separation and a vertical time window are also selected. A cross-correlation is calculated between data values corresponding to first and second data locations separated by the data location separation and symmetrically located in the search direction on each side of a target data location. The cross-correlation is calculated throughout the vertical time window for each time shift in the range of time shifts. The time shift corresponding to the maximum calculated cross-correlation is stored in the throw volume.
摘要翻译：一种计算对应于地震数据量的投掷量的方法。选择地震数据量的时间范围和搜索方向。还选择数据位置分离和垂直时间窗口。在对应于由数据位置分隔分隔的第一和第二数据位置的数据值之间计算互相关，并且在目标数据位置的每一侧对称地位于搜索方向。在时间范围内的每个时间偏移的整个垂直时间窗口中计算互相关。对应于最大计算的互相关的时移被存储在投掷量中。

2. 发明授权

US06662112B2 Method for classifying AVO data using an interpreter-trained neural network 有权
标题翻译：使用解释器训练的神经网络对AVO数据进行分类的方法
公开(公告)号：US06662112B2
公开(公告)日：2003-12-09
申请号：US10231902
申请日：2002-08-29
申请人： John E. Eastwood , Brian P. West , Michael D. Gross , Dwight C. Dawson , David H. Johnston
发明人： John E. Eastwood , Brian P. West , Michael D. Gross , Dwight C. Dawson , David H. Johnston
IPC分类号： G01V128
CPC分类号： G01V1/32 , G01V1/34
摘要： AVO anomalies are classified in near-offset and far-offset seismic data volumes, by first calculating a plurality of initial AVO seismic attributes representative of the offset seismic data volumes. A probabilistic neural network is constructed from the calculated initial AVO seismic attributes. AVO anomaly classifications are calculated in a portion of the offset seismic data volumes. The preceding steps are repeated until the calculated AVO anomaly classifications in the portion of the offset seismic data volumes are satisfactory. AVO anomaly classifications are calculated throughout the offset seismic data volumes using the constructed probabilistic neural network.
摘要翻译：通过首先计算代表偏移地震数据量的多个初始AVO地震属性，将AVO异常分类为近偏移和远偏移地震数据量。从计算的初始AVO地震属性构建概率神经网络。在偏移地震数据量的一部分中计算AVO异常分类。重复前述步骤，直到偏移地震数据量部分中计算的AVO异常分类令人满意。使用构建的概率神经网络在整个偏移地震数据量中计算AVO异常分类。

3. 发明授权

US06560540B2 Method for mapping seismic attributes using neural networks 有权
公开(公告)号：US06560540B2
公开(公告)日：2003-05-06
申请号：US10192467
申请日：2002-07-10
申请人： Brian P. West , Steven R. May
发明人： Brian P. West , Steven R. May
IPC分类号： G06F1900
CPC分类号： G01V1/32
摘要： A method for training a probabilistic neural network to map seismic attributes or similar quantities.

4. 发明授权

US06662111B2 Method for analyzing reflection curvature in seismic data volumes 有权
标题翻译：分析地震数据量反射曲率的方法
公开(公告)号：US06662111B2
公开(公告)日：2003-12-09
申请号：US10179631
申请日：2002-06-25
申请人： Brian P. West , Steven R. May , Dominique Gillard , John E. Eastwood , Michael D. Gross , Thomas J. Frantes
发明人： Brian P. West , Steven R. May , Dominique Gillard , John E. Eastwood , Michael D. Gross , Thomas J. Frantes
IPC分类号： G01V128
CPC分类号： G01V1/30
摘要： A method of calculating reflection curvature in a seismic data volume wherein an apparent dip value is calculated in a first direction to generate a first apparent dip volume. A horizontal gradient is calculated in the first direction in the first apparent dip volume using a specified length scale to generate a first curvature volume. The process may be repeated one or more times, and the individual curvature volumes combined to generate a combined curvature volume for the seismic data volume.
摘要翻译：一种计算地震数据体积中的反射曲率的方法，其中在第一方向上计算表观倾角值以产生第一表观倾角体积。在第一表观倾斜体积中的第一方向上使用规定的长度刻度来计算水平梯度以产生第一曲率体积。该过程可以重复一次或多次，并且各曲率体积被组合以产生用于地震数据体积的组合曲率体积。

5. 发明授权

US06757216B1 Method for post processing compensation of amplitude for misaligned and misstacked offset seismic data 有权
标题翻译：用于未对准和错堆叠偏移地震数据的后处理补偿幅度的方法
公开(公告)号：US06757216B1
公开(公告)日：2004-06-29
申请号：US10438540
申请日：2003-05-15
申请人： Peter Varnai , Stefan Hussenoeder , Brian P. West , John E. Eastwood , Spyridon K. Lazaratos
发明人： Peter Varnai , Stefan Hussenoeder , Brian P. West , John E. Eastwood , Spyridon K. Lazaratos
IPC分类号： G01V136
CPC分类号： G01V1/282
摘要： A method for assessing the suitability of seismic data for quantitative amplitude analysis, where the concern is excessive residual normal moveout (RNMO). The invention uses a near offset stack and a far offset stack, the time difference between the two, a mute pattern, a reflection shape assumption for the RNMO, and a waveform and frequency for the far stack traces to generate a formula that estimates far stack amplitude error caused by RNMO. The formula can be used to compensate the far stack amplitude where the error is not so great as to require reprocessing of the data. The method can also be applied to interpreted amplitude maps.
摘要翻译：评估地震数据对定量振幅分析的适用性的方法，其中关注的是过度的残余正常移动（RNMO）。本发明使用近偏移堆栈和远偏移堆栈，两者之间的时间差，静音模式，RNMO的反射形状假设以及远堆栈轨迹的波形和频率来生成估计远堆栈的公式 RNMO引起的振幅误差。该公式可用于补偿远堆栈幅度，其中误差不太大，以至于需要对数据进行再处理。该方法也可以应用于解释幅度图。

6. 发明申请

US20100175886A1 Retrodicting Source-Rock Quality And Paleoenvironmental Conditions 有权
标题翻译：降低源岩质量和古环境条件
公开(公告)号：US20100175886A1
公开(公告)日：2010-07-15
申请号：US12601895
申请日：2008-06-09
申请人： Kevin M. Bohacs , Brian P. West , George J. Grabowski
发明人： Kevin M. Bohacs , Brian P. West , George J. Grabowski
IPC分类号： E21B43/00 , G06F19/00 , G06F17/18 , G01V9/00
CPC分类号： G01V99/00 , G01V99/005 , G01V2210/665 , G06F2217/16 , G06G7/50 , G06G7/57 , G06N7/005 , G06T2210/24
摘要： A method for retrodicting source-rock quality and/or paleoenvironmental conditions are disclosed. A first set of system variables associated with source-rock quality is selected (705). A second set of system variables directly or indirectly causally related to the first set of variables is also selected (710). Data for variables selected to be known quantities are estimated or obtained (720). A network with nodes including both sets of variables is formed (715). The network has directional links connecting interdependent nodes (715). The directional links preferably honor known causality relations. A Bayesian network algorithm is used with the data to solve the network for the unknown variables and their associated uncertainties (725). The variables selected to be unknowns can be input nodes (paleoenvironmental conditions), intermediate nodes, output nodes (source rock quality), or any combination thereof.
摘要翻译：公开了一种用于降低源岩质量和/或古环境条件的方法。选择与源岩质量相关的第一组系统变量（705）。还选择与第一组变量直接或间接因果关系的第二组系统变量（710）。估计或获得被选择为已知量的变量的数据（720）。形成具有包括两组变量的节点的网络（715）。网络具有连接相互依赖节点的定向链路（715）。指向性链接最好符合已知的因果关系。贝叶斯网络算法与数据一起用于解决未知变量的网络及其相关不确定性（725）。选择为未知数的变量可以是输入节点（古环境条件），中间节点，输出节点（源岩质量）或其任何组合。

7. 发明授权

US06757615B2 Method for automated horizon transfer and alignment through the application of time-shift volumes 有权
标题翻译：通过应用时移量的自动水平传输和对准的方法
公开(公告)号：US06757615B2
公开(公告)日：2004-06-29
申请号：US10238221
申请日：2002-09-10
申请人： Kim Zauderer , Brian P. West , John E. Eastwood , R. David Potter
发明人： Kim Zauderer , Brian P. West , John E. Eastwood , R. David Potter
IPC分类号： G01V128
CPC分类号： G01V1/28 , G01V2210/66
摘要： Seismic horizons are transferred between two three-dimensional seismic data volumes which cover the same area. The seismic data volumes are time-aligned to generate a time-shift volume. A seismic horizon is selected and the time-shift volume is applied to the seismic horizon, generating a time-shifted seismic horizon.
摘要翻译：地震层位在覆盖相同区域的两个三维地震数据体之间传输。地震数据量被时间对齐以产生时移量。选择地震层，并将时移体积应用于地震层面，产生时移地震烈度。

8. 发明授权

US06490528B2 Method for imaging discontinuites in seismic data 有权
标题翻译：地震数据不连续成像方法
公开(公告)号：US06490528B2
公开(公告)日：2002-12-03
申请号：US09827574
申请日：2001-04-06
申请人： Yao-Chou Cheng , Brian P. West , Alan E. Schwartzbard , John A. Farre
发明人： Yao-Chou Cheng , Brian P. West , Alan E. Schwartzbard , John A. Farre
IPC分类号： G01V128
CPC分类号： G01V1/288
摘要： Structural and stratigraphic discontinuities are identified in a 3-D volume of seismic data samples, by first selecting a plurality of directions containing a primary direction and at least one secondary direction. Next, one-dimensional, two-trace first discontinuity values are calculated along the primary direction for each seismic data sample in the 3-D data volume. Next, a series of sequentially less restrictive thresholds is defined, such that a significant portion, preferably at least approximately 10%, of the first discontinuity values satisfy the first threshold. This significant portion of first discontinuity values is then stored in an output discontinuity volume at the corresponding sample locations. The following steps are repeated for each remaining data sample until that sample has a value stored at the corresponding sample location in the output discontinuity volume. First, one-dimensional, two-trace discontinuity values are calculated for the sample sequentially along the secondary directions and the first of the calculated discontinuity values satisfying the first threshold is stored in the output volume. If none of the calculated discontinuity values satisfies the first threshold, then, the next less restrictive threshold in the series of thresholds is selected. Finally, the discontinuity values calculated along the primary and secondary directions are compared sequentially to the selected threshold and the first of the discontinuity values that satisfies the selected threshold is stored in the output discontinuity volume.
摘要翻译：通过首先选择包含主方向和至少一个次方向的多个方向，在3-D体积的地震数据样本中识别结构和地层不连续性。接下来，对于3D数据卷中的每个地震数据样本，沿主要方向计算一维，两迹迹的第一不连续值。接下来，定义一系列顺序上较少限制的阈值，使得第一不连续值的有效部分，优选地至少约10％满足第一阈值。然后将第一不连续值的该重要部分存储在相应采样位置处的输出不连续体积中。对于每个剩余的数据样本重复以下步骤，直到该样本具有存储在输出不连续体积中相应样本位置的值。首先，沿次要方向依次计算样本的一维二迹不连续值，并且将满足第一阈值的所计算的不连续值中的第一个存储在输出体积中。如果计算出的不连续性值都不满足第一阈值，则选择一系列阈值中的下一个较小限制性阈值。最后，将沿主要和次要方向计算的不连续值顺序地与所选择的阈值进行比较，并且满足选择的阈值的第一个不连续值被存储在输出不连续体积中。

9. 发明授权

US08972233B2 Retrodicting source-rock quality and paleoenvironmental conditions 有权
标题翻译：降低源岩质量和古环境条件
公开(公告)号：US08972233B2
公开(公告)日：2015-03-03
申请号：US12601895
申请日：2008-06-09
申请人： Kevin M. Bohacs , Brian P. West , George J. Grabowski
发明人： Kevin M. Bohacs , Brian P. West , George J. Grabowski
IPC分类号： G06G7/48 , G06G7/56 , G06G7/50 , G01V99/00 , G06G7/57 , G06N7/00
CPC分类号： G01V99/00 , G01V99/005 , G01V2210/665 , G06F2217/16 , G06G7/50 , G06G7/57 , G06N7/005 , G06T2210/24
摘要： A method for retrodicting source-rock quality and/or paleoenvironmental conditions are disclosed. A first set of system variables associated with source-rock quality is selected (705). A second set of system variables directly or indirectly causally related to the first set of variables is also selected (710). Data for variables selected to be known quantities are estimated or obtained (720). A network with nodes including both sets of variables is formed (715). The network has directional links connecting interdependent nodes (715). The directional links preferably honor known causality relations. A Bayesian network algorithm is used with the data to solve the network for the unknown variables and their associated uncertainties (725). The variables selected to be unknowns can be input nodes (paleoenvironmental conditions), intermediate nodes, output nodes (source rock quality), or any combination thereof.
摘要翻译：公开了一种用于降低源岩质量和/或古环境条件的方法。选择与源岩质量相关的第一组系统变量（705）。还选择与第一组变量直接或间接因果关系的第二组系统变量（710）。估计或获得被选择为已知量的变量的数据（720）。形成具有包括两组变量的节点的网络（715）。网络具有连接相互依赖节点的定向链路（715）。指向性链接最好符合已知的因果关系。贝叶斯网络算法与数据一起用于解决未知变量的网络及其相关不确定性（725）。选择为未知数的变量可以是输入节点（古环境条件），中间节点，输出节点（源岩质量）或其任何组合。

10. 发明授权

US06850864B2 Method for analyzing dip in seismic data volumes 有权
标题翻译：分析地震数据量下降的方法
公开(公告)号：US06850864B2
公开(公告)日：2005-02-01
申请号：US10178607
申请日：2002-06-24
申请人： Dominique Gillard , Brian P. West , Steven R. May , John E. Eastwood , Michael D. Gross
发明人： Dominique Gillard , Brian P. West , Steven R. May , John E. Eastwood , Michael D. Gross
IPC分类号： G01V1/28 , G01V1/30 , G01V1/32 , G06F15/00
CPC分类号： G01V1/301 , G01V1/288 , G01V1/32
摘要： A method of analyzing dip in a seismic data volume in which a horizontal gradient is calculated in a first direction in the seismic data volume. A vertical gradient is calculated at data locations in the seismic data volume corresponding to the locations at which the horizontal gradient was calculated. Dip is calculated in the first direction from the horizontal gradient in the first direction and the vertical gradient. Repetition of the process for the entire seismic data volume results in a dip volume.
摘要翻译：一种在地震数据体积中分析倾斜的方法，其中在地震数据体积中沿第一方向计算水平梯度。在对应于计算水平梯度的位置的地震数据体中的数据位置处计算垂直梯度。从第一方向的水平梯度和垂直梯度的第一方向计算汲取量。重复整个地震数据量的过程导致倾斜体积。

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