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    • 1. 发明授权
    • Reducing the dimensionality of the joint inversion problem
    • 降低联合反演问题的维数
    • US09195783B2
    • 2015-11-24
    • US13814214
    • 2011-06-27
    • Anoop A. MullurDennis E. WillenRebecca L. Saltzer
    • Anoop A. MullurDennis E. WillenRebecca L. Saltzer
    • G06G7/48G06F17/50G01V3/18G01V3/12G01V11/00
    • G06F17/5009G01V3/12G01V3/18G01V11/00G01V2210/6163G01V2210/6165
    • Method for reducing a 3D joint inversion of at least two different types of geophysical data acquired by 3-D surveys to an equivalent set of 1D 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. Next, a 1D model of the physical property is extracted at selected (x,y) locations. A 1D simulator and the 1D model of the physical property is then used at each of the selected locations to create a synthetic 1D data set at each location. Finally, the 1D 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 1D inversion, the method is computationally advantageous, while recognizing the impact of 3-D effects.
    • 将通过三维调查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1D反演的方法。 首先,分别对每种数据类型执行3D反演,以产生与数据类型对应的物理属性的3-D模型。 接下来,在选定的(x,y)位置提取物理性质的1D模型。 然后在每个选定位置使用1D模拟器和物理属性的1D模型,以在每个位置创建合成的1D数据集。 最后,每个不同类型的地球物理数据的1D合成数据集在每个选定的位置共同反转,产生改善的物理性质值。 因为联合反演是一维反演,所以该方法在计算上是有利的,同时识别3-D效应的影响。
    • 2. 发明申请
    • Reducing the Dimensionality of the Joint Inversion Problem
    • 减少联合反转问题的维度
    • US20130179137A1
    • 2013-07-11
    • US13814214
    • 2011-06-27
    • Anoop A. MullurDennis E. WillenRebecca L. Saltzer
    • Anoop A. MullurDennis E. WillenRebecca L. Saltzer
    • G06F17/50
    • G06F17/5009G01V3/12G01V3/18G01V11/00G01V2210/6163G01V2210/6165
    • 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.
    • 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。
    • 6. 发明授权
    • Joint inversion with unknown lithology
    • 联合反演与未知的岩性
    • US09453929B2
    • 2016-09-27
    • US14111519
    • 2012-03-09
    • Jan SchmedesChristopher J. DiCaprioCharlie JingGarrett M. LeahyAnoop A. MullurRebecca L. Saltzer
    • Jan SchmedesChristopher J. DiCaprioCharlie JingGarrett M. LeahyAnoop A. MullurRebecca L. Saltzer
    • G01V1/28G01V3/38G01V11/00
    • G01V1/282G01V3/38G01V11/00
    • Method for joint inversion of geophysical data to obtain 3-D models of geological parameters for subsurface regions of unknown lithology. Two or more data sets of independent geophysical data types are obtained, e.g. seismic and electromagnetic. Then they are jointly inverted, using structural coupling, to infer geophysical parameter volumes, e.g. acoustic velocity and resistivity. Regions of common lithology are next identified based on similar combinations of geophysical parameters. Then a joint inversion of the multiple data types is performed in which rock physics relations vary spatially in accordance with the now-known lithology, and 3-D models of geological properties such as shale content and fracture density are inferred. The computational grid for the last inversion may be defined by the lithology regions, resulting in average geological properties over such regions, which may then be perturbed to determine uncertainty in lithologic boundaries.
    • 联合反演地球物理数据的方法,以获得未知岩性地下地区3维地质参数模型。 获得独立的地球物理数据类型的两个或多个数据集,例如。 地震和电磁。 然后,它们共同倒置,使用结构耦合,推断地球物理参数体积,例如 声速和电阻率。 下面根据地球物理参数的类似组合来确定共同岩性区域。 然后进行多种数据类型的联合反演,其中岩石物理关系根据现在已知的岩性在空间上变化,并且推断出诸如页岩含量和裂缝密度的地质特征的3-D模型。 最后反演的计算网格可以由岩性区域定义,导致在这些区域上的平均地质特征,然后可以扰动以确定岩性边界的不确定性。
    • 8. 发明申请
    • Hydrocarbon Detection With Passive Seismic Data
    • 被动地震数据的碳氢化合物检测
    • US20110255371A1
    • 2011-10-20
    • US13140749
    • 2009-12-14
    • Charlie JingJim J. CarazzoneEva-Maria RumpfhuberRebecca L. SaltzerThomas A. DickensAnoop A. Mullur
    • Charlie JingJim J. CarazzoneEva-Maria RumpfhuberRebecca L. SaltzerThomas A. DickensAnoop A. Mullur
    • G01V1/28
    • G01V1/28G01V1/288G01V11/00G01V2210/123
    • Method for using seismic data from earthquakes to address the low frequency lacuna problem in traditional hydrocarbon exploration methods. Seismometers with frequency response Select Receivers of Desired Frequency Ranges and Design Survey Seismometer Configuration down to about 1 Hz are placed over a target subsurface region in an array with spacing suitable for hydrocarbon exploration (21). Data are collected over a long (weeks or months) time period (22). Segments of the data (44) are identified with known events from earthquake catalogs (43). Those data segments are analyzed using techniques such as trayeltime delay measurements (307) or receiver function calculations (46) and then are combined with one or more other types of geophysical data acquired from the target region, using joint inversion (308-310) in some embodiments of the method, to infer physical features of the subsurface indicative of hydrocarbon potential or lack thereof (26).
    • 采用地震数据解决传统碳氢化合物勘探方法中低频空隙问题的方法。 具有频率响应的地震仪选择接收器的期望频率范围和设计测量地震仪配置低至约1Hz放置在具有适合于碳氢化合物勘探的间隔的阵列中的目标地下区域(21)。 数据收集时间长(数周或数月)(22)。 数据(44)的分段用来自地震目录(43)的已知事件来识别。 使用诸如托盘时间延迟测量(307)或接收机功能计算(46)的技术分析那些数据段,然后使用在目标区域中获取的一个或多个其他类型的地球物理数据,使用联合反演(308-310) 该方法的一些实施方案,用于推断表示碳氢化合物潜力或其缺乏的地下物理特征(26)。
    • 10. 发明申请
    • Joint Inversion with Unknown Lithology
    • 联合反演与未知岩性
    • US20140180593A1
    • 2014-06-26
    • US14111519
    • 2012-03-09
    • Jan SchmedesChristopher J. DiCaprioCharlie JingGarrett M. LeahyAnoop A. MullurRebecca L. Saltzer
    • Jan SchmedesChristopher J. DiCaprioCharlie JingGarrett M. LeahyAnoop A. MullurRebecca L. Saltzer
    • G01V1/28G01V3/38
    • G01V1/282G01V3/38G01V11/00
    • Method for joint inversion of geophysical data to obtain 3-D models of geological parameters for subsurface regions of unknown lithology. Two or more data sets of independent geophysical data types are obtained, e.g. seismic and electromagnetic. Then they are jointly inverted, using structural coupling, to infer geophysical parameter volumes, e.g. acoustic velocity and resistivity. Regions of common lithology are next identified based on similar combinations of geophysical parameters. Then a joint inversion of the multiple data types is performed in which rock physics relations vary spatially in accordance with the now-known lithology, and 3-D models of geological properties such as shale content and fracture density are inferred. The computational grid for the last inversion may be defined by the lithology regions, resulting in average geological properties over such regions, which may then be perturbed to determine uncertainty in lithologic boundaries.
    • 联合反演地球物理数据的方法,以获得未知岩性地下地区3维地质参数模型。 获得独立的地球物理数据类型的两个或多个数据集,例如。 地震和电磁。 然后,它们共同倒置,使用结构耦合,推断地球物理参数体积,例如 声速和电阻率。 下面根据地球物理参数的类似组合来确定共同岩性区域。 然后进行多种数据类型的联合反演,其中岩石物理关系根据现在已知的岩性在空间上变化,并且推断出诸如页岩含量和裂缝密度的地质特征的3-D模型。 最后反演的计算网格可以由岩性区域定义,导致在这些区域上的平均地质特征,然后可以扰动以确定岩性边界的不确定性。