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1. 发明授权

US08724429B2 System and method for performing time-lapse monitor surverying using sparse monitor data 有权
标题翻译：使用稀疏监视数据执行延时监视器的系统和方法
公开(公告)号：US08724429B2
公开(公告)日：2014-05-13
申请号：US13127133
申请日：2009-12-04
申请人： Richard T. Houck , Grant A. Gist , Dachang Li
发明人： Richard T. Houck , Grant A. Gist , Dachang Li
IPC分类号： G01V1/00 , G01V1/28
CPC分类号： G01V1/282 , G01V1/308 , G01V2210/612
摘要： Techniques are disclosed for performing time-lapse monitor surveys with sparsely sampled monitor data sets. An accurate 3D representation (e.g., image) of a target area (e.g., a hydrocarbon bearing subsurface reservoir) is constructed (12) using the sparsely sampled monitor data set (11). The sparsely sampled monitor data set may be so limited that it alone is insufficient to generate an accurate 3D representation of the target area, but accuracy is enabled through use of certain external information (14). The external information may be one or more alternative predicted models (25) that are representative of different predictions regarding how the target area may change over a lapse of time. The alternative models may, for example, reflect differences in permeability of at least a portion of the target area. The sparsely sampled monitor data set may then be processed to determine (23) which of the alternative models is representative of the target area.
摘要翻译：公开了用于执行具有稀疏采样监视数据集的时间延迟监视器调查的技术。使用稀疏采样的监视数据集（11）构建（12）目标区域（例如，含烃地下储层）的精确3D表示（例如，图像）。稀疏采样的监视器数据集可以被限制为仅仅不足以产生目标区域的精确3D表示，但是通过使用某些外部信息（14）能够实现准确性。外部信息可以是一个或多个替代预测模型（25），其代表关于目标区域可能随时间流逝而改变的不同预测。替代模型可以例如反映目标区域的至少一部分的渗透性的差异。然后可以处理稀疏采样的监视数据集，以确定（23）替代模型中的哪一个代表目标区域。

2. 发明申请

US20120014217A1 System and method For Performing Time-Lapse Monitor Surverying Using Sparse Monitor Data 有权
标题翻译：使用稀疏监视器数据执行延时监视的系统和方法
公开(公告)号：US20120014217A1
公开(公告)日：2012-01-19
申请号：US13127133
申请日：2009-12-04
申请人： Richard T. Houck , Grant A. Gist , Dachang Li
发明人： Richard T. Houck , Grant A. Gist , Dachang Li
IPC分类号： G01V1/00
CPC分类号： G01V1/282 , G01V1/308 , G01V2210/612
摘要： Techniques are disclosed for performing time-lapse monitor surveys with sparsely sampled monitor data sets. An accurate 3D representation (e.g., image) of a target area (e.g., a hydrocarbon bearing subsurface reservoir) is constructed (12) using the sparsely sampled monitor data set (11). The sparsely sampled monitor data set may be so limited that it alone is insufficient to generate an accurate 3D representation of the target area, but accuracy is enabled through use of certain external information (14). The external information may be one or more alternative predicted models (25) that are representative of different predictions regarding how the target area may change over a lapse of time. The alternative models may, for example, reflect differences in permeability of at least a portion of the target area. The sparsely sampled monitor data set may then be processed to determine (23) which of the alternative models is representative of the target area.
摘要翻译：公开了用于执行具有稀疏采样监视数据集的延时监视器调查的技术。使用稀疏采样的监视数据集（11）构建（12）目标区域（例如，含烃地下储层）的精确3D表示（例如，图像）。稀疏采样的监视器数据集可以被限制为仅仅不足以产生目标区域的精确3D表示，但是通过使用某些外部信息（14）能够实现准确性。外部信息可以是一个或多个替代预测模型（25），其代表关于目标区域可能随时间流逝而改变的不同预测。替代模型可以例如反映目标区域的至少一部分的渗透性的差异。然后可以处理稀疏采样的监视数据集，以确定（23）替代模型中的哪一个代表目标区域。

3. 发明授权

US10198535B2 Methods and systems for machine-learning based simulation of flow 有权
公开(公告)号：US10198535B2
公开(公告)日：2019-02-05
申请号：US13805649
申请日：2011-05-19
申请人： Adam Usadi , Dachang Li , Rossen Parashkevov , Sergey A. Terekhov , Xiaohui Wu , Yahan Yang
发明人： Adam Usadi , Dachang Li , Rossen Parashkevov , Sergey A. Terekhov , Xiaohui Wu , Yahan Yang
IPC分类号： G06F17/50 , G06N3/04
摘要： There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model comprising a plurality of sub regions. At least one of the sub regions is simulated using a training simulation to obtain a set of training parameters comprising state variables and boundary conditions of the at least one sub region. A machine learning algorithm is used to approximate, based on the set of training parameters, an inverse operator of a matrix equation that provides a solution to fluid flow through a porous media. The hydrocarbon reservoir can be simulated using the inverse operator approximated for the at least one sub region. The method also includes generating a data representation of a physical hydrocarbon reservoir can be generated in a non-transitory, computer-readable, medium based, at least in part, on the results of the simulation.

4. 发明申请

US20130166264A1 METHOD AND SYSTEM FOR RESERVOIR MODELING 审中-公开
标题翻译：储层建模方法与系统
公开(公告)号：US20130166264A1
公开(公告)日：2013-06-27
申请号：US13805651
申请日：2011-05-23
申请人： Adam Usadi , Dachang Li , Rossen Parashkevov , Xiaohui Wu , Yahan Yang
发明人： Adam Usadi , Dachang Li , Rossen Parashkevov , Xiaohui Wu , Yahan Yang
IPC分类号： G06F17/50
CPC分类号： G06F17/5009 , G06F2217/16
摘要： A method is presented for modeling reservoir properties. The method includes constructing a coarse computational mesh for the reservoir. The coarse computational mesh comprises a plurality of cells. The method further includes determining a plurality of flows for each of the plurality of cells based on Dirichlet boundary conditions. Additionally, the method includes determining a solution to a coarse pressure equation for the reservoir based on the plurality of flows.
摘要翻译：提出了一种用于建模储层性质的方法。该方法包括为储层构建粗计算网格。粗计算网格包括多个单元。该方法还包括基于Dirichlet边界条件来确定多个小区中的每一个的多个流。另外，该方法包括基于多个流量确定储层的粗压方程的解。

5. 发明申请

US20130096899A1 Methods And Systems For Machine - Learning Based Simulation of Flow 审中-公开
标题翻译：机器学习方法与系统流程仿真
公开(公告)号：US20130096899A1
公开(公告)日：2013-04-18
申请号：US13805648
申请日：2011-05-19
申请人： Adam Usadi , Dachang Li , Rossen Parashkevov , Sergey A. Terekhov , Xiaohui Wu , Yahan Yang
发明人： Adam Usadi , Dachang Li , Rossen Parashkevov , Sergey A. Terekhov , Xiaohui Wu , Yahan Yang
IPC分类号： E21B43/00 , G06N99/00
CPC分类号： E21B43/00 , G01V99/005 , G06F17/5018 , G06F2217/16 , G06N3/0427 , G06N20/00
摘要： There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model comprising a plurality of coarse grid cells. The method includes generating a fine grid model corresponding to one of the coarse grid cells and simulating the fine grid model using a training simulation to generate a set of training parameters comprising boundary conditions of the coarse grid cell. A machine learning algorithm may be used to generate, based on the set of training parameters, a coarse scale approximation of a phase permeability of the coarse grid cell. The hydrocarbon reservoir can be simulated using the coarse scale approximation of the effective phase permeability generated for the coarse grid cell. The method also includes generating a data representation of a physical hydrocarbon reservoir in a non-transitory, computer-readable, medium based at least in part on the results of the simulation.
摘要翻译：提供了一种用于对烃储层进行建模的方法，其包括产生包括多个粗网格单元的储层模型。该方法包括生成对应于粗网格单元之一的精细网格模型，并使用训练模拟来模拟精细网格模型，以生成包括粗网格单元的边界条件的一组训练参数。可以使用机器学习算法基于训练参数集合来生成粗网格单元的相位磁导率的粗略近似。可以使用为粗网格单元生成的有效相位磁导率的粗略近似来模拟烃储层。该方法还包括至少部分地基于模拟的结果，在非暂时的计算机可读介质中生成物理碳氢化合物储层的数据表示。

6. 发明申请

US20090204377A1 Method for Constructing Geologic Models of Subsurface Sedimentary Volumes 有权
标题翻译：地下沉积体积地质模型构建方法
公开(公告)号：US20090204377A1
公开(公告)日：2009-08-13
申请号：US11658922
申请日：2005-08-19
申请人： John C. Van Wagoner , Paul A. Dunn , Max Deffenbaugh , David N. Awwiller , Tao Sun , Dachang Li , David C. Hoyal , Chris J. Donofrio
发明人： John C. Van Wagoner , Paul A. Dunn , Max Deffenbaugh , David N. Awwiller , Tao Sun , Dachang Li , David C. Hoyal , Chris J. Donofrio
IPC分类号： G06T17/20 , G06G7/50
CPC分类号： G01V1/282 , G01V2210/661
摘要： A method is disclosed for using a three-dimensional seismic image of a subsurface earth volume to construct a geologic model specifying the spatially-varying grain size distribution, porosity, and permeability throughout the volume. The method applies to earth volumes composed of water-lain clastic sedimentary deposits and involves, in one embodiment, (a) identifying the outline forms of geologic bodies in geologic data; (b) using the outline forms of the geologic bodies to determine the spatially-varying grain size distribution within the bodies, guided by assumptions about the nature and behavior of the paleoflow that deposited the bodies; (c) determining rock properties such as, porosity and permeability within the geologic bodies based on grain-size distribution, mineralogy and burial history information.
摘要翻译：公开了一种使用地下地球体积的三维地震图像来构建地质模型的方法，该地质模型规定了整个体积中空间变化的粒度分布，孔隙度和渗透率。该方法适用于由含水碎屑沉积沉积物组成的地球体积，并且在一个实施方案中涉及（a）在地质数据中识别地质体的轮廓形式; （b）使用地质体的轮廓形式来确定物体内的空间变化的粒度分布，并根据沉积物体的古气候的性质和行为的假设来指导; （c）基于粒度分布，矿物学和埋藏历史信息，确定地质体内的岩石性质，如孔隙度和渗透率。

7. 发明授权

US10087721B2 Methods and systems for machine—learning based simulation of flow 有权
公开(公告)号：US10087721B2
公开(公告)日：2018-10-02
申请号：US13805647
申请日：2011-05-19
申请人： Adam Usadi , Dachang Li , Rossen Parashkevov , Sergey A. Terekhov , Xiaohui Wu , Yahan Yang
发明人： Adam Usadi , Dachang Li , Rossen Parashkevov , Sergey A. Terekhov , Xiaohui Wu , Yahan Yang
IPC分类号： G06G7/48 , E21B43/00 , G01V1/28 , G06F17/50 , G06N99/00 , G01V99/00 , G06N3/04
摘要： There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model that has a plurality of sub regions. A solution surrogate is obtained for a sub region by searching a database of existing solution surrogates to obtain an approximate solution surrogate based on a comparison of physical, geometrical, or numerical parameters of the sub region with physical, geometrical, or numerical parameters associated with the existing surrogate solutions in the database. If an approximate solution surrogate does not exist in the database, the sub region is simulated using a training simulation to obtain a set of training parameters comprising state variables and boundary conditions of the sub region. A machine learning algorithm is used to obtain a new solution surrogate based on the set of training parameters. The hydrocarbon reservoir can be simulated using the solution surrogate obtained for the at least one sub region.

8. 发明授权

US08825461B2 Overlapped multiple layer depth averaged flow model of a turbidity current 有权
标题翻译：浊度电流的重叠多层深度平均流动模型
公开(公告)号：US08825461B2
公开(公告)日：2014-09-02
申请号：US13131799
申请日：2009-11-16
申请人： Tao Sun , Dachang Li , John Van Wagoner , Xiaohui Wu
发明人： Tao Sun , Dachang Li , John Van Wagoner , Xiaohui Wu
IPC分类号： G06G7/50 , G01V99/00
CPC分类号： G01V99/00
摘要： A method of generating a model of a turbidity current in a fluid is disclosed. A first flow layer in the turbidity current is defined. The method successively defines at least one more flow layer in the turbidity current. Each successive flow layer includes the previously defined flow layer. A set of depth-averaged flow variables for each flow layer is defined. A model is developed that describes the turbidity current. The model uses fluid flow equations and the set of depth-averaged flow variables for each flow layer to predict fluid flow in each flow layer. The model is then output.
摘要翻译：公开了一种在流体中产生浊度电流模型的方法。定义浊度电流中的第一流层。该方法连续地限定浊度电流中的至少一个更多的流动层。每个连续的流动层包括先前定义的流动层。定义每个流层的一组深度平均流量变量。开发了一种描述浊度电流的模型。该模型使用流体流动方程和每个流动层的深度平均流量变量的集合来预测每个流动层中的流体流动。然后输出模型。

9. 发明申请

US20110240310A1 Overlapped Multiple Layer Depth Averaged Flow Model Of A Turbidity Current 有权
标题翻译：重叠多层深度平均流模型的浊度电流
公开(公告)号：US20110240310A1
公开(公告)日：2011-10-06
申请号：US13131799
申请日：2009-11-16
申请人： Tao Sun , Dachang Li , John Van Wagoner , Xiaohui Wu
发明人： Tao Sun , Dachang Li , John Van Wagoner , Xiaohui Wu
IPC分类号： E21B43/00 , G06F17/10 , G06G7/57
CPC分类号： G01V99/00
摘要： A method of generating a model of a turbidity current in a fluid is disclosed. A first flow layer in the turbidity current is defined. The method successively defines at least one more flow layer in the turbidity current. Each successive flow layer includes the previously defined flow layer. A set of depth-averaged flow variables for each flow layer is defined. A model is developed that describes the turbidity current. The model uses fluid flow equations and the set of depth-averaged flow variables for each flow layer to predict fluid flow in each flow layer. The model is then output.
摘要翻译：公开了一种在流体中产生浊度电流模型的方法。定义浊度电流中的第一流层。该方法连续地限定浊度电流中的至少一个更多的流动层。每个连续的流动层包括先前定义的流动层。定义每个流层的一组深度平均流量变量。开发了一种描述浊度电流的模型。该模型使用流体流动方程和每个流动层的深度平均流量变量的集合来预测每个流动层中的流体流动。然后输出模型。

10. 发明授权

US07925481B2 Geologic models of subsurface sedimentary volumes 有权
标题翻译：地下沉积体积地质模型
公开(公告)号：US07925481B2
公开(公告)日：2011-04-12
申请号：US11658922
申请日：2005-08-19
申请人： John C. Van Wagoner , Paul A. Dunn , Max Deffenbaugh , David N. Awwiller , Tao Sun , Dachang Li , David C. Hoyal , Chris J. Donofrio
发明人： John C. Van Wagoner , Paul A. Dunn , Max Deffenbaugh , David N. Awwiller , Tao Sun , Dachang Li , David C. Hoyal , Chris J. Donofrio
IPC分类号： G06G7/48
CPC分类号： G01V1/282 , G01V2210/661
摘要： A method is disclosed for using a three-dimensional seismic image of a subsurface earth volume to construct a geologic model specifying the spatially-varying grain size distribution, porosity, and permeability throughout the volume. The method applies to earth volumes composed of water-lain clastic sedimentary deposits and involves, in one embodiment, (a) identifying the outline forms of geologic bodies in geologic data; (b) using the outline forms of the geologic bodies to determine the spatially-varying grain size distribution within the bodies, guided by assumptions about the nature and behavior of the paleoflow that deposited the bodies; (c) determining rock properties such as, porosity and permeability within the geologic bodies based on grain-size distribution, mineralogy and burial history information.
摘要翻译：公开了一种使用地下地球体积的三维地震图像来构建地质模型的方法，该地质模型规定了整个体积中空间变化的粒度分布，孔隙度和渗透率。该方法适用于由含水碎屑沉积沉积物组成的地球体积，并且在一个实施方案中涉及（a）在地质数据中识别地质体的轮廓形式; （b）使用地质体的轮廓形式来确定物体内的空间变化的粒度分布，并根据沉积物体的古气候的性质和行为的假设来指导; （c）基于粒度分布，矿物学和埋藏历史信息，确定地质体内的岩石性质，如孔隙度和渗透率。

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