-
公开(公告)号：US09494711B2
公开(公告)日：2016-11-15
申请号：US14128890
申请日：2012-05-09
Applicant: Garrett M Leahy , Christopher DiCaprio , Charlie Jing , Anoop A Mullur , Rebecca L Saltzer , Jan Schmedes
Inventor： Garrett M Leahy , Christopher DiCaprio , Charlie Jing , Anoop A Mullur , Rebecca L Saltzer , Jan Schmedes
CPC classification number: G01V99/005 , G01V1/282 , G01V1/30 , G01V1/306 , G01V3/38 , G01V7/00 , G01V11/00 , G01V2210/612 , G01V2210/614 , G01V2210/616 , G01V2210/62
Abstract: Method for adaptive weighting of geophysical data types in iterative joint inversion to speed convergence and aid escape from local minima of the penalty (objective) function. Two or more geophysical data sets (11) representing a region of interest are obtained, and are jointly inverted to infer models of the physical properties that affect the particular types of data used. The misfit for each data type is a weighted tem in the penalty function (13). The invention involves changing the weights (51) as the iteration cycles progress when the iteration convergence criteria are satisfied (15), to see if they remain satisfied (52) with the modified penalty function.
Abstract translation: 迭代联合反演中地球物理数据类型自适应加权的方法，用于加速收敛，并协助从局部极小值处罚罚（目标）函数。 获得表示感兴趣区域的两个或更多个地球物理数据集（11），并且共同反转以推断影响所使用的特定数据类型的物理属性的模型。 每种数据类型的错配是惩罚函数中的加权值（13）。 本发明涉及当迭代收敛标准满足时（15），随着迭代循环的进行而改变权重（51），以便看到它们是否与修正的惩罚函数保持一致（52）。
-
公开(公告)号：US20140180593A1
公开(公告)日：2014-06-26
申请号：US14111519
申请日：2012-03-09
Applicant: Jan Schmedes , Christopher J. DiCaprio , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
Inventor： Jan Schmedes , Christopher J. DiCaprio , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
Abstract: 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.
Abstract translation: 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。
-
公开(公告)号：US11125899B2
公开(公告)日：2021-09-21
申请号：US16036371
申请日：2018-07-16
Applicant: Brent Wheelock , Jan Schmedes , Ratnanabha Sain
Inventor： Brent Wheelock , Jan Schmedes , Ratnanabha Sain
Abstract: A method including: obtaining geophysical data for a subsurface region; generating, with a computer, at least two subsurface property models of the subsurface region for at least two subsurface properties by performing an inversion that minimizes a misfit between the geophysical data and forward simulated data subject to one or more constraints, the inversion including generating updates to the at least two subsurface property models for at least two different scenarios that both fit the geophysical data with a same likelihood but have different values for model materiality, with the model materiality being posed as an equality constraint in the inversion, wherein the model materiality is a functional of model parameters that characterize hydrocarbon potential of the subsurface region; analyzing a geophysical data misfit curve or geophysical data misfit likelihood curve, over a predetermined range of values of the model materiality to identify the at least two subsurface property models that correspond to a high-side and low-side, respectively, for each of the at least two subsurface properties, with the high-side and low-side quantifying uncertainties in the subsurface properties; and prospecting for hydrocarbons in the subsurface region with the at least two models that correspond to the high-side and the low-side for each of the at least two subsurface properties.
-
公开(公告)号：US20200040709A1
公开(公告)日：2020-02-06
申请号：US16514716
申请日：2019-07-17
Applicant: David D. McAdow , Jan Schmedes , Ratnanabha Sain
Inventor： David D. McAdow , Jan Schmedes , Ratnanabha Sain
Abstract: A method and apparatus for generating a fluid saturation model for a subsurface region. One example method generally includes obtaining a model of the subsurface region; for each of a plurality of fluid types: flooding the subsurface region model with the fluid type to generate a flood model; and running a trial petrophysical inversion with the flood model to generate a trial petrophysical model; identifying potential fluid contact regions in the trial petrophysical models; partitioning the subsurface region model at the identified potential fluid contact regions; and constructing the fluid saturation model from the partitioned subsurface region model.
-
Patent Agency Ranking
公开(公告)号：US20190056518A1
公开(公告)日：2019-02-21
申请号：US16036371
申请日：2018-07-16
Applicant: Brent Wheelock , Jan Schmedes , Ratnanabha Sain
Inventor： Brent Wheelock , Jan Schmedes , Ratnanabha Sain
IPC: G01V1/30
Abstract: A method including: obtaining geophysical data for a subsurface region; generating, with a computer, at least two subsurface property models of the subsurface region for at least two subsurface properties by performing an inversion that minimizes a misfit between the geophysical data and forward simulated data subject to one or more constraints, the inversion including generating updates to the at least two subsurface property models for at least two different scenarios that both fit the geophysical data with a same likelihood but have different values for model materiality, with the model materiality being posed as an equality constraint in the inversion, wherein the model materiality is a functional of model parameters that characterize hydrocarbon potential of the subsurface region; analyzing a geophysical data misfit curve or geophysical data misfit likelihood curve, over a predetermined range of values of the model materiality to identify the at least two subsurface property models that correspond to a high-side and low-side, respectively, for each of the at least two subsurface properties, with the high-side and low-side quantifying uncertainties in the subsurface properties; and prospecting for hydrocarbons in the subsurface region with the at least two models that correspond to the high-side and the low-side for each of the at least two subsurface properties.
-
公开(公告)号：US09702995B2
公开(公告)日：2017-07-11
申请号：US14113103
申请日：2012-05-09
Applicant: Christopher DiCaprio , Jan Schmedes , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
Inventor： Christopher DiCaprio , Jan Schmedes , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
CPC classification number: G01V1/282 , G01V11/00 , G01V2003/086
Abstract: Method for estimating geological properties in a subsurface region using multiple types of geophysical data (21). An initial physical properties model 22 is constructed. Some parameters in the model are frozen (23) and optionally portions of the model wave number and spatial domains (24) and the data frequency and data time domains (25), are also frozen. Then, a joint inversion (26) of the multiple data types is performed to calculate an update to the model only for the portions that are not frozen. The converged model (27) for this inversion is used as a new starting model, and the process is repeated (28), possibly several times, unfreezing more parameters and data each time until the desired spatial and parameter resolution (29) has been achieved.
-
公开(公告)号：US20200041692A1
公开(公告)日：2020-02-06
申请号：US16514670
申请日：2019-07-17
Applicant: Jan Schmedes , Di Yang
Inventor： Jan Schmedes , Di Yang
IPC: G01V99/00
Abstract: A method and apparatus for hydrocarbon management, including generating a fluid saturation model for a subsurface region. Generating such a model may include: performing a brine flood petrophysical inversion to generate inversion results; iteratively repeating: classifying rock types (including at least one artificial rock type) based on the inversion results; generating a trial fluid saturation model based on the classified rock types; performing a trial petrophysical inversion with the trial fluid saturation model to generate trial results; and updating the inversion results with the trial results; and generating the fluid saturation model for the subsurface region based on the inversion results. The petrophysical inversion may include a facies-based inversion and/or may invert for water saturation. Generating such a model may include: performing a brine flood petrophysical inversion, performing a hydrocarbon flood petrophysical inversion; identifying misfits in the inversion results, and generating a trial fluid saturation model based on the misfits.
-
公开(公告)号：US09453929B2
公开(公告)日：2016-09-27
申请号：US14111519
申请日：2012-03-09
Applicant: Jan Schmedes , Christopher J. DiCaprio , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
Inventor： Jan Schmedes , Christopher J. DiCaprio , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
Abstract: 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.
Abstract translation: 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。
-
公开(公告)号：US20140095131A1
公开(公告)日：2014-04-03
申请号：US14113103
申请日：2012-05-09
Applicant: Christopher DiCaprio , Jan Schmedes , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
Inventor： Christopher DiCaprio , Jan Schmedes , Charlie Jing , Garrett M. Leahy , Anoop A. Mullur , Rebecca L. Saltzer
IPC: G01V1/28
CPC classification number: G01V1/282 , G01V11/00 , G01V2003/086
Abstract: Method for estimating geological properties in a subsurface region using multiple types of geophysical data (21). An initial physical properties model 22 is constructed. Some parameters in the model are frozen (23) and optionally portions of the model wave number and spatial domains (24) and the data frequency and data time domains (25), are also frozen. Then, a joint inversion (26) of the multiple data types is performed to calculate an update to the model only for the portions that are not frozen. The converged model (27) for this inversion is used as a new starting model, and the process is repeated (28), possibly several times, unfreezing more parameters and data each time until the desired spatial and parameter resolution (29) has been achieved.
Abstract translation: 使用多种类型的地球物理数据估算地下地质地质特征的方法（21）。 构建初始物理性质模型22。 模型中的一些参数被冻结（23），并且可选地，模型波数和空间域（24）以及数据频率和数据时域（25）的部分也被冻结。 然后，执行多个数据类型的联合反演（26），以仅对未冻结的部分计算对模型的更新。 用于该反演的收敛模型（27）被用作新的起始模型，并且该过程重复（28），可能几次，每次解冻更多的参数和数据，直到达到所需的空间和参数分辨率（29） 。
-
-
-
-
-
-
-
-
Search Results
9
records
(took 0.015 seconds)
