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公开(公告)号：US20100176791A1
公开(公告)日：2010-07-15
申请号：US12303673
申请日：2007-06-12
申请人： Thomas A Dickens , Charlie Jing , Dennis E. Willen
发明人： Thomas A Dickens , Charlie Jing , Dennis E. Willen
IPC分类号： G01V3/12
摘要： Method for identifying, determining and correcting source-related phase errors in data from a controlled source electromagnetic survey by using data from ordinary survey receivers, i.e. without benefit of source monitoring data. Abrupt anomalies indicating source malfunctions are identified (71) in the time domain by plotting time intervals between neighboring zero crossings or by zero-lag cross correlation between consecutive bins of receiver data, and the amount of the time error (73) can be determined by performing cross correlation between two bins on either side of an anomaly. In the frequency domain, transmitter anomalies can be identified by looking for discontinuities in plots of phase vs. offset, and the corrective phase shift can be determined by matching the phase on one side of the anomaly to that on the other side. A global time/phase shift (76) can be determined by using phase frequency-scaling behavior at near offsets.
摘要翻译： 用于通过使用普通测量接收机的数据来识别，确定和校正来自受控源电磁勘测的源相关相位误差的方法，即不受源监测数据的益处。 在时域中通过绘制相邻过零点之间的时间间隔或接收器数据的连续箱之间的零时相互相关来识别（71）在时域中的突发异常，并且时间误差量（73）可以由 在异常的任一侧执行两个箱之间的互相关。 在频域中，可以通过查找相位偏移图中的不连续性来识别发射机异常，并且可以通过将异常一侧的相位与另一侧的相位匹配来确定校正相移。 全局时间/相移（76）可以通过使用接近偏移的相位频率缩放行为来确定。
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公开(公告)号：US5987387A
公开(公告)日：1999-11-16
申请号：US11193
申请日：1998-01-29
摘要： A method of processing seismic data on parallel processors, preferably on a massively parallel processor. The input ot the process is seismic data from one or more of a number of seismic lines. The end product of the invention is a DMO corrected, zero-offset seismic image of the subsurface. By repeating the method on different input offsets, the variation in reflection strength of a reflector as a function of the angle of incidence can be examined. The method includes a two stage parallelization. First, a parallelization over the incoming traces generates a suite of DMO-corrected partial images for each point on each incoming trace. Secondly, a parallelization over output locations accumulates and combines the partial images, and produces output traces.
摘要翻译： PCT No.PCT / US96 / 15818 Sec。 371日期1998年1月29日 102（e）1998年1月29日PCT PCT 1996年10月2日PCT公布。 出版物WO97 / 1321300 日期1997年04月10日一种在并行处理器上处理地震数据的方法，优选地在大规模并行处理器上。 该过程的输入是来自多个地震线中的一个或多个的地震数据。 本发明的最终产物是地下的DMO校正的零偏移地震图像。 通过在不同的输入偏移上重复该方法，可以检查作为入射角的函数的反射器的反射强度的变化。 该方法包括两级并行化。 首先，通过输入轨迹的并行化可以为每个输入轨迹上的每个点生成一组DMO校正的部分图像。 其次，输出位置上的并行化积累并组合部分图像，并产生输出迹线。
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3.发明授权公开(公告)号：US11287541B2
公开(公告)日：2022-03-29
申请号：US15371759
申请日：2016-12-07
申请人： William A Burnett , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
发明人： William A Burnett , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
摘要： A method, including: determining, with a computer, point spread functions for a plurality of parameter locations by performing at least a portion of a first iteration of an iterative full wavefield inversion process; determining at least one property for each of the point spread functions; and evaluating a candidate survey design based on the at least one property for each of the point spread functions.
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公开(公告)号：US09207351B2
公开(公告)日：2015-12-08
申请号：US13265393
申请日：2010-03-26
摘要： Embodiments described herein use stochastic inversion (460) in lower dimensions to form an initial model (458) that is to be used in higher-dimensional gradient-based inversion (466). For example, an initial model may be formed from 1.5-D stochastic inversions, which is then processed (464) to form a 3-D model. Stochastic inversions reduce or avoid local minima and may provide an initial result that is near the global minimum.
摘要翻译： 本文所描述的实施例使用较低维度的随机反演（460）来形成将用于基于更高维梯度的反演（466）中的初始模型（458）。 例如，初始模型可以由1.5-D随机逆转形成，然后进行处理（464）以形成3-D模型。 随机反演减少或避免局部最小值，并可能提供接近全局最小值的初始结果。
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公开(公告)号：US08239181B2
公开(公告)日：2012-08-07
申请号：US12465932
申请日：2009-05-14
申请人： Xinyou Lu , Charlie Jing , Thomas A. Dickens , Dennis E. Willen
发明人： Xinyou Lu , Charlie Jing , Thomas A. Dickens , Dennis E. Willen
IPC分类号： G06G7/48
CPC分类号： G01V3/12
摘要： A method for suppressing measurement system signature, or artifacts, that arise when controlled source electromagnetic survey data are inverted to obtain a resistivity image of a subsurface region. The method involves identifying regions (47) where the image has low or rapidly varying sensitivity to data acquired by a given receiver, typically regions close to and under the given receiver. Then, in the iterative inversion process where a resistivity model is updated to minimize an objective function, the model update is modified (48) to reduce the impact of such low sensitivity regions on the update.
摘要翻译： 当控制源电磁勘测数据被反转以获得地下区域的电阻率图像时，产生抑制测量系统特征或伪像的方法。 该方法包括识别区域（47），其中图像具有低或快速变化的灵敏度，其由给定接收器（通常在给定接收器附近和之下的区域）获取的数据。 然后，在更新电阻率模型以最小化目标函数的迭代反演过程中，修改模型更新（48）以减少这种低灵敏度区域对更新的影响。
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6.发明申请公开(公告)号：US20170176613A1
公开(公告)日：2017-06-22
申请号：US15371759
申请日：2016-12-07
申请人： William A. BURNETT , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
发明人： William A. BURNETT , Martin J. Terrell , Pavel Dimitrov , Thomas A. Dickens , Yaxun Tang , Partha S. Routh , William Curry , Dennis E. Willen
IPC分类号： G01V1/28
摘要： A method, including: determining, with a computer, point spread functions for a plurality of parameter locations by performing at least a portion of a first iteration of an iterative full wavefield inversion process; determining at least one property for each of the point spread functions; and evaluating a candidate survey design based on the at least one property for each of the point spread functions.
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公开(公告)号：US20120080197A1
公开(公告)日：2012-04-05
申请号：US13265393
申请日：2010-03-26
摘要： Embodiments described herein use stochastic inversion (460) in lower dimensions to form an initial model (458) that is to be used in higher-dimensional gradient-based inversion (466). For example, an initial model may be formed from 1.5-D stochastic inversions, which is then processed (464) to form a 3-D model. Stochastic inversions reduce or avoid local minima and may provide an initial result that is near the global minimum.
摘要翻译： 本文所描述的实施例使用较低维度的随机反演（460）来形成将用于基于更高维梯度的反演（466）中的初始模型（458）。 例如，初始模型可以由1.5-D随机逆转形成，然后进行处理（464）以形成3-D模型。 随机反演减少或避免局部最小值，并可能提供接近全局最小值的初始结果。
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公开(公告)号：US08121789B2
公开(公告)日：2012-02-21
申请号：US12303673
申请日：2007-06-12
IPC分类号： G01V1/40
摘要： Method for identifying, determining and correcting source-related phase errors in data from a controlled source electromagnetic survey by using data from ordinary survey receivers, i.e. without benefit of source monitoring data. Abrupt anomalies indicating source malfunctions are identified (71) in the time domain by plotting time intervals between neighboring zero crossings or by zero-lag cross correlation between consecutive bins of receiver data, and the amount of the time error (73) can be determined by performing cross correlation between two bins on either side of an anomaly. In the frequency domain, transmitter anomalies can be identified by looking for discontinuities in plots of phase vs. offset, and the corrective phase shift can be determined by matching the phase on one side of the anomaly to that on the other side. A global time/phase shift (76) can be determined by using phase frequency-scaling behavior at near offsets.
摘要翻译： 用于通过使用普通测量接收机的数据来识别，确定和校正来自受控源电磁勘测的源相关相位误差的方法，即不受源监测数据的益处。 在时域中通过绘制相邻过零点之间的时间间隔或接收器数据的连续箱之间的零时相互相关来识别（71）在时域中的突发异常，并且时间误差量（73）可以由 在异常的任一侧执行两个箱之间的互相关。 在频域中，可以通过查找相位偏移图中的不连续性来识别发射机异常，并且可以通过将异常一侧的相位与另一侧的相位匹配来确定校正相移。 全局时间/相移（76）可以通过使用接近偏移的相位频率缩放行为来确定。
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公开(公告)号：US09746577B2
公开(公告)日：2017-08-29
申请号：US14271131
申请日：2014-05-06
申请人： Adrian Ciucivara , Dennis E. Willen
发明人： Adrian Ciucivara , Dennis E. Willen
CPC分类号： G01V3/38 , G01V2210/62 , G06F17/50
摘要： Method for estimating uncertainty in a physical property model generated by inverting measured geophysical data, for example, a resistivity model inferred from electromagnetic field data. The method involves as few as one data inversion coupled with a number of forward simulation. Alternative solutions (models) are generated by probing a perturbation space defined from a reduced model space, resulting from a principal component decomposition of the inverted model, and selecting some of the larger components. Statistical analysis techniques may be applied (to those alternative solutions remaining after thresholding) to generate quantitative uncertainty estimates applicable to the inverted model.
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公开(公告)号：US20130179137A1
公开(公告)日：2013-07-11
申请号：US13814214
申请日：2011-06-27
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , G01V3/12 , G01V3/18 , G01V11/00 , G01V2210/6163 , G01V2210/6165
摘要： Method for reducing a 3D joint inversion of at least two different types of geophysical data acquired by 3-D surveys (21) to an equivalent set of ID inversions. First, a 3D inversion is performed on each data type separately to the yield a 3-D model of a physical property corresponding to the data type (22). Next, a ID model of the physical property is extracted at selected (x,y) locations. A ID simulator (23) and the ID model of the physical property is then used at each of the selected locations to create a synthetic ID data set at each location (24). Finally, the ID synthetic data sets for each different type of geophysical data are jointly inverted at each of the selected locations, yielding improved values of the physical properties. Because the joint inversion is a ID inversion, the method is computationally advantageous, while recognizing the impact of 3-D effects.
摘要翻译： 将通过三维调查（21）获得的至少两种不同类型的地球物理数据的3D联合反演减少为等效的一组ID反转的方法。 首先，分别对每种数据类型执行3D反演以产生与数据类型（22）对应的物理属性的3-D模型。 接下来，在所选择的（x，y）位置提取物理属性的ID模型。 然后在每个所选择的位置处使用ID模拟器（23）和物理属性的ID模型来在每个位置（24）创建合成ID数据集。 最后，每个不同类型的地球物理数据的ID合成数据集合在每个选定位置处共同反转，产生改善的物理特性值。 因为联合反演是一个ID反转，所以该方法在计算上是有利的，同时识别3-D效应的影响。
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