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1. 发明公开

EP2599030A1 METHODS AND SYSTEMS FOR MACHINE-LEARNING BASED SIMULATION OF FLOW 审中-公开
标题翻译：基于机器学习的流动模拟方法和系统
公开(公告)号：EP2599030A1
公开(公告)日：2013-06-05
申请号：EP11812891.7
申请日：2011-05-19
申请人： ExxonMobil Upstream Research Company
发明人： USADI, Adam , LI, Dachang , PARASHKEVOV, Rossen , TEREKHOV, Sergey, A. , WU, Xiao-hui , YANG, Yahan
IPC分类号： G06G7/48
CPC分类号： E21B43/00 , G01V99/005 , G06F17/5018 , G06F2217/16 , G06N3/0427 , G06N99/005
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：提供了一种用于建模碳氢化合物储层的方法，其包括生成包括多个粗栅格单元的储层模型。该方法包括生成与粗糙网格单元中的一个对应的精细网格模型并且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。机器学习算法可以用于基于该组训练参数生成粗网格单元的相位导磁率的粗略近似。可以使用为粗网格单元生成的有效相位渗透率的粗尺度近似来模拟碳氢化合物储层。该方法还包括至少部分地基于模拟结果在非暂时性计算机可读介质中生成物理碳氢化合物储层的数据表示。

2. 发明公开

EP2599031A1 METHODS AND SYSTEMS FOR MACHINE-LEARNING BASED SIMULATION OF FLOW 审中-公开
标题翻译：基于机器学习的流动模拟方法和系统
公开(公告)号：EP2599031A1
公开(公告)日：2013-06-05
申请号：EP11812892.5
申请日：2011-05-19
申请人： ExxonMobil Upstream Research Company , Yang, Yahan
发明人： YANG, Yahan , USADI, Adam , LI, Dachang , PARASHKEVOV, Rossen , TEREKHOV, Sergey, A. , WU, Xiao-hui
IPC分类号： G06G7/48
CPC分类号： G06F17/5009 , G06F17/5018 , G06N3/0427
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.
摘要翻译：提供了一种用于建模碳氢化合物储层的方法，其包括生成包括多个子区域的储层模型。使用训练模拟模拟至少一个子区域以获得包括至少一个子区域的状态变量和边界条件的一组训练参数。机器学习算法用于基于该组训练参数来近似矩阵方程的逆运算符，该矩阵方程为通过多孔介质的流体流提供解决方案。可以使用近似于至少一个子区域的逆算子来模拟碳氢化合物储层。该方法还包括可以至少部分地基于模拟结果在非暂时性计算机可读介质中生成物理碳氢化合物储层的数据表示。

3. 发明公开

EP2599023A2 METHODS AND SYSTEMS FOR MACHINE-LEARNING BASED SIMULATION OF FLOW 审中-公开
标题翻译：基于机器学习的流动模拟方法和系统
公开(公告)号：EP2599023A2
公开(公告)日：2013-06-05
申请号：EP11812893.3
申请日：2011-05-19
申请人： ExxonMobil Upstream Research Company
发明人： USADI, Adam , LI, Dachang , PARASHKEVOV, Rossen , TEREKHOV, Sergey, A. , WU, Xiao-hui , YANG, Yahan
IPC分类号： G06F19/00
CPC分类号： E21B41/0092 , E21B41/00 , E21B43/00 , G01V99/005 , G06F17/5009 , G06F17/5018 , G06F2217/16 , G06N3/0427
摘要： There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model that has a plurality of coarse grid cells. A plurality of fine grid models is generated, wherein each fine grid model corresponds to one of the plurality of coarse grid cells that surround a flux interface. The method also includes simulating the plurality of fine grid models using a training simulation to obtain a set of training parameters, including a potential at each coarse grid cell surrounding the flux interface and a flux across the flux interface. A machine learning algorithm is used to generate a constitutive relationship that provides a solution to fluid flow through the flux interface. The method also includes simulating the hydrocarbon reservoir using the constitutive relationship and generating a data representation of a physical hydrocarbon reservoir in a non-transitory, computer-readable medium based on the results of the simulation.
摘要翻译：提供了一种用于建模碳氢化合物储层的方法，其包括生成具有多个粗栅格单元的储层模型。生成多个细网格模型，其中每个细网格模型对应于围绕通量接口的多个粗网格单元中的一个。该方法还包括使用训练模拟来模拟多个精细网格模型以获得一组训练参数，包括围绕通量接口的每个粗网格单元处的电势和通量接口上的通量。机器学习算法用于生成本构关系，该关系为通过通量接口的流体流动提供了解决方案。该方法还包括使用本构关系来模拟碳氢化合物储层，并且基于模拟的结果在非暂时性计算机可读介质中生成物理碳氢化合物储层的数据表示。

4. 发明公开

EP2376893A1 OVERLAPPED MULTIPLE LAYER DEPTH AVERAGED FLOW MODEL OF A TURBIDITY CURRENT 有权转让
标题翻译：重叠平均深度悲观流动的多层河工模型
公开(公告)号：EP2376893A1
公开(公告)日：2011-10-19
申请号：EP09833793.4
申请日：2009-11-16
申请人： Exxonmobil Upstream Research Company
发明人： SUN, Tao , LI, Dachang , WAGONER, John, Van , WU, Xiao-hui
IPC分类号： G01N21/00
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.

5. 发明公开

EP1938281A2 GEOLOGIC MODELS OF SUBSURFACE SEDIMENTRAY VOLUMES 有权
标题翻译：地表下的沉积量地质模型
公开(公告)号：EP1938281A2
公开(公告)日：2008-07-02
申请号：EP05790913.7
申请日：2005-08-19
申请人： ExxonMobil Upstream Research Company
发明人： VAN WAGONER, John C. , DUNN, Paul A. , DEFFENBAUGH, Max , AWWIELLER, David N. , SUN, Tao , LI, Dachang , HOYAL, David C. , DONOFRIO, Chris J.
IPC分类号： G06T17/20
CPC分类号： G01V1/282 , G01V2210/661
摘要： A 3-Dseismic image is used to construct a geologic model specifying the spatially varying grain size distribution, porosity and permeability through the volume 101. The method applies to water laid elastic sedimentary deposits of earth sedentary volumes and involves modeling steps for identifying the outline forms of geologic bodies in geologic data. The outline forms of the geologic deposits and body volume form is used to determine the spatially varying grain size distribution within the sediment deposit and is guided by the modeling assumptions about the nature and behavior of the sediment paleoflow that deposited the sediment volume 109. The geologic sediment volume is based on the grain size distribution of mineralogy and sediment burial history information and is used to determine the rock properties of porosity and permeability within the geological sedimentation deposit 101.

6. 发明授权

EP2376893B1 OVERLAPPED MULTIPLE LAYER DEPTH AVERAGED FLOW MODEL OF A TURBIDITY CURRENT 有权转让
公开(公告)号：EP2376893B1
公开(公告)日：2020-04-22
申请号：EP09833793.4
申请日：2009-11-16
申请人： ExxonMobil Upstream Research Company
发明人： SUN, Tao , LI, Dachang , WAGONER, John, Van , WU, Xiao-hui
IPC分类号： G01N21/00 , G01V99/00

7. 发明公开

EP2659424A1 SYSTEMS AND METHODS FOR SUBSURFACE RESERVOIR SIMULATION 审中-公开
标题翻译： SYSTEME UND VERFAHRENFÜRUNTERIRDISCHE RESERVOIRSIMULATION
公开(公告)号：EP2659424A1
公开(公告)日：2013-11-06
申请号：EP11852638.3
申请日：2011-09-29
申请人： ExxonMobil Upstream Research Company
发明人： LI, Dachang , DAWSON, Aaron, G. , OBIGBESAN, Abimbola, B. , PERKINS, Samuel, Dosite, II , SMITH, Steven, Gale , STACKEL, Andrew, W.
IPC分类号： G06G7/48
CPC分类号： G06F17/5009 , G01V11/00 , G06F17/5018
摘要： Systems and methods for providing a reservoir simulation are based on data from an unstructured grid using a structured grid reservoir simulator. Exemplary methods comprise obtaining an unstructured grid reservoir model comprising a reservoir model discretized on an unstructured grid. A virtual structured grid is defined for the unstructured grid reservoir model. The unstructured grid is aligned with the virtual structured grid by adding cells to the unstructured grid to make the unstructured grid and virtual structured grid have the same number of cells. The virtual structured grid may be represented in the unstructured grid. Structured grid reservoir simulator input data comprising reservoir model data assigned to the virtual structured grid is prepared based on reservoir model data in the unstructured grid model. A structured grid reservoir simulation is performed using the structured grid reservoir simulator input data to produce a reservoir simulation.
摘要翻译：用于提供储层模拟的系统和方法基于使用结构化网格储层模拟器的非结构化网格的数据。示例性方法包括获得包括在非结构化网格上离散化的储层模型的非结构化网格储层模型。为非结构化网格储层模型定义了虚拟结构化网格。通过向非结构化网格添加单元格以使非结构化网格和虚拟结构化网格具有相同数量的单元格，非结构化网格与虚拟结构化网格对齐。虚拟结构化网格可以在非结构化网格中表示。基于非结构化网格模型中的储层模型数据，准备包括分配给虚拟结构网格的储层模型数据的结构化网格储层模拟器输入数据。使用结构化网格储层模拟器输入数据进行结构化网格储层模拟，以产生储层模拟。

8. 发明公开

EP2599032A1 METHOD AND SYSTEM FOR RESERVOIR MODELING 无效转让
标题翻译：方法和系统储层建模
公开(公告)号：EP2599032A1
公开(公告)日：2013-06-05
申请号：EP11812896.6
申请日：2011-05-23
申请人： Exxonmobil Upstream Research Company
发明人： USADI, Adam , LI, Dachang , PARASHKEVOV, Rossen , WU, Xiao-hui , YANG, Yahan
IPC分类号： G06G7/48
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.

9. 发明公开

EP2499548A1 METHOD AND SYSTEM FOR RAPID MODEL EVALUATION USING MULTILEVEL SURROGATES 审中-公开
标题翻译：方法和系统快速模型评估采用多阶段SURROGATE
公开(公告)号：EP2499548A1
公开(公告)日：2012-09-19
申请号：EP10830350.4
申请日：2010-07-28
申请人： ExxonMobil Upstream Research Company
发明人： WU, Xiao-hui , LI, Dachang , PARASHKEVOV, Rossen , USADI, Adam, K. , YANG, Yahan
IPC分类号： G06E1/00
CPC分类号： G06F17/5009 , G06F19/704
摘要： The present techniques disclose methods and systems for rapidly evaluating multiple models using multilevel surrogates (for example, in two or more levels). These surrogates form a hierarchy in which surrogate accuracy increases with its level. At the highest level, the surrogate becomes an accurate model, which may be referred to as a full-physics model (FPM). The higher level surrogates may be used to efficiently train the low level surrogates (more specifically, the lowest level surrogate in most applications), reducing the amount of computing resources used. The low level surrogates are then used to evaluate the entire parameter space for various purposes, such as history matching, evaluating the performance of a hydrocarbon reservoir, and the like.

10. 发明公开

EP2422222A1 METHOD FOR PREDICTING FLUID FLOW 有权转让
标题翻译：用于预测的液体流
公开(公告)号：EP2422222A1
公开(公告)日：2012-02-29
申请号：EP10767455.8
申请日：2010-01-21
申请人： Exxonmobil Upstream Research Company
发明人： SUN, Tao , LI, Dachang
IPC分类号： G01V1/40
CPC分类号： G01V99/00 , G01V99/005 , G06F17/10 , G06F17/5009
摘要： A method of enhancing a geologic model of a subsurface region is provided. A bed topography of the subsurface region is obtained. The bed topography is defined by a plurality of cells with an elevation associated with each cell center. The bed topography is represented as a cell-centered piecewise constant representation based on the elevations associated with the cells. The bed topography is reconstructed to produce a spatially continuous surface. Flux and gravitational force-related source terms are calculated based on the reconstructed bed topography. Fluxes are calculated between at least two of the cells. Fluid flow, deposition of sediments onto the bed, and/or erosion of sediments from the bed are predicted using the fluxes and gravitational force-related source terms. The predictions are inputted into the geologic model to predict characteristics of the subsurface region, and the predicted characteristics are outputted.

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