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1. 发明申请

US20070265815A1 Method for optimal gridding in reservoir simulation 有权
标题翻译：油藏模拟中优化网格化的方法
公开(公告)号：US20070265815A1
公开(公告)日：2007-11-15
申请号：US11656840
申请日：2007-01-23
申请人： Benoit Couet , Michael Prange , William Bailey , Hugues Djikpesse , Vladimir Druskin
发明人： Benoit Couet , Michael Prange , William Bailey , Hugues Djikpesse , Vladimir Druskin
IPC分类号： G06G7/48
CPC分类号： G01V11/00
摘要： A method is disclosed for performing optimal gridding in reservoir simulation, the method comprising: establishing an optimal coarse grid proxy that can replace all or parts of a fine grid with a coarse grid while preserving an accuracy of a predefined simulation model output, the step of establishing an optimal coarse grid proxy including finding, by using an optimizer, a best fit of a coarse grid output to the output of a training set.
摘要翻译：公开了一种用于在储层模拟中执行最佳网格化的方法，所述方法包括：建立最优粗网格代理，其可以用粗栅格替代精细网格的全部或部分，同时保持预定模拟模型输出的精度，步骤建立最优粗网格代理，包括通过使用优化器找到粗网格输出到训练集的输出的最佳拟合。

2. 发明授权

US07716029B2 Method for optimal gridding in reservoir simulation 有权
标题翻译：油藏模拟中优化网格化的方法
公开(公告)号：US07716029B2
公开(公告)日：2010-05-11
申请号：US11656840
申请日：2007-01-23
申请人： Benoit Couet , Michael Prange , William Bailey , Hugues Djikpesse , Vladimir Druskin
发明人： Benoit Couet , Michael Prange , William Bailey , Hugues Djikpesse , Vladimir Druskin
IPC分类号： G06G7/48
CPC分类号： G01V11/00
摘要： A method is disclosed for performing optimal gridding in reservoir simulation, the method comprising: establishing an optimal coarse grid proxy that can replace all or parts of a fine grid with a coarse grid while preserving an accuracy of a predefined simulation model output, the step of establishing an optimal coarse grid proxy including finding, by using an optimizer, a best fit of a coarse grid output to the output of a training set.
摘要翻译：公开了一种用于在储层模拟中执行最佳网格化的方法，所述方法包括：建立最优粗网格代理，其可以用粗栅格替代精细网格的全部或部分，同时保持预定模拟模型输出的精度，步骤建立最优粗网格代理，包括通过使用优化器找到粗网格输出到训练集的输出的最佳拟合。

3. 发明授权

US08073800B2 Valuing future information under uncertainty 有权
标题翻译：评估未来信息的不确定性
公开(公告)号：US08073800B2
公开(公告)日：2011-12-06
申请号：US12182890
申请日：2008-07-30
申请人： Michael Prange , William J. Bailey , Benoit Couet , Hugues Djikpesse , Michael A. Elliott
发明人： Michael Prange , William J. Bailey , Benoit Couet , Hugues Djikpesse , Michael A. Elliott
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： E21B47/00
摘要： The invention relates to a method of performing an oilfield operation of an oilfield having at least one well having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include analyzing the oilfield operation to generate a decision tree comprising a first decision and a second decision, wherein a first outcome of the first decision dictates acquiring information relevant to the second decision, formulating a figure of merit of the oilfield operation according to the decision tree based on the information and uncertainties associated with the oilfield, determining a value of the figure of merit by modeling the oilfield operation using statistical sampling, and performing the oilfield operation upon making the first decision based on the value of the figure of merit.
摘要翻译：本发明涉及一种执行油田的油田作业的方法，该油田具有至少一个具有穿透地下地层的井眼的井，用于从地下油藏中提取流体。所述方法步骤包括分析油田操作以产生包括第一决策和第二决策的决策树，其中，所述第一决策的第一结果决定获取与所述第二决策有关的信息，根据所述第二决定制定油田操作的品质因数基于与油田相关的信息和不确定性的决策树，通过使用统计抽样建模油田作业确定品质因数的价值，并根据品质因数的价值进行第一个决定时进行油田作业。

4. 发明申请

US20090271233A1 VALUING FUTURE INFORMATION UNDER UNCERTAINTY 有权
标题翻译：未知的未来信息
公开(公告)号：US20090271233A1
公开(公告)日：2009-10-29
申请号：US12182890
申请日：2008-07-30
申请人： Michael Prange , William J. Bailey , Benoit Couet , Hugues Djikpesse , Michael A. Elliott
发明人： Michael Prange , William J. Bailey , Benoit Couet , Hugues Djikpesse , Michael A. Elliott
IPC分类号： G06Q10/00
CPC分类号： E21B47/00
摘要： The invention relates to a method of performing an oilfield operation of an oilfield having at least one well having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include analyzing the oilfield operation to generate a decision tree comprising a first decision and a second decision, wherein a first outcome of the first decision dictates acquiring information relevant to the second decision, formulating a figure of merit of the oilfield operation according to the decision tree based on the information and uncertainties associated with the oilfield, determining a value of the figure of merit by modeling the oilfield operation using statistical sampling, and performing the oilfield operation upon making the first decision based on the value of the figure of merit.
摘要翻译：本发明涉及一种执行油田的油田作业的方法，该油田具有至少一个具有穿透地下地层的井眼的井，用于从地下油藏中提取流体。所述方法步骤包括分析油田操作以产生包括第一决策和第二决策的决策树，其中，所述第一决策的第一结果决定获取与所述第二决策有关的信息，根据所述第二决定制定油田操作的品质因数基于与油田相关的信息和不确定性的决策树，通过使用统计抽样建模油田作业确定品质因数的价值，并根据品质因数的价值进行第一个决定时进行油田作业。

5. 发明授权

US08670960B2 Proxy methods for expensive function optimization with expensive nonlinear constraints 有权
标题翻译：具有昂贵的非线性约束的昂贵功能优化的代理方法
公开(公告)号：US08670960B2
公开(公告)日：2014-03-11
申请号：US12914270
申请日：2010-10-28
申请人： Benoit Couet , Kashif Rashid , David Wilkinson , Saumil Ambani , Eren Cetinkaya , Hugues Djikpesse
发明人： Benoit Couet , Kashif Rashid , David Wilkinson , Saumil Ambani , Eren Cetinkaya , Hugues Djikpesse
IPC分类号： G06F17/10 , G06F17/17
CPC分类号： G06F17/11
摘要： A method for optimizing expensive functions with expensive nonlinear constraints. The method includes selecting sample data for evaluating an expensive function of a simulation, generating a function proxy model for the expensive function and a constraint proxy model for an expensive nonlinear constraint of the expensive function using an approximation scheme, calculating a first solution point for the simulation using the proxy models, and evaluating the expensive function at the first solution point using the sample data. When the expensive function and the proxy models do not converge at the first solution point, the method further includes adding the first solution point to the sample data for updating the proxy models. The method further includes repeating the calculation and evaluation of solution points until the expensive function and the proxy models converge and, following convergence, identifying an optimal solution of the function proxy model and the constraint proxy model.
摘要翻译：一种用昂贵的非线性约束优化昂贵功能的方法。该方法包括选择用于评估模拟的昂贵功能的样本数据，为昂贵的函数生成功能代理模型和使用近似方案的昂贵功能的昂贵非线性约束的约束代理模型，计算第一解点使用代理模型进行仿真，并使用样本数据评估第一个解决点处的昂贵功能。当昂贵的功能和代理模型不会在第一个解决方案点收敛时，该方法还包括将第一个解决点添加到样本数据中以更新代理模型。该方法还包括重复求解点的计算和评估，直到昂贵的函数和代理模型收敛，并且在收敛之后，识别功能代理模型和约束代理模型的最优解。

6. 发明授权

US08589078B2 Guided Bayesian experimental design 有权
标题翻译：引导贝叶斯实验设计
公开(公告)号：US08589078B2
公开(公告)日：2013-11-19
申请号：US12507536
申请日：2009-07-22
申请人： Hugues Djikpesse , Mohamed-Rabigh Khodja , Michael David Prange
发明人： Hugues Djikpesse , Mohamed-Rabigh Khodja , Michael David Prange
IPC分类号： G01V1/40 , G01V3/18 , G01V5/04 , G01V9/00
CPC分类号： G01V11/00 , G01V99/00 , G06F17/18
摘要： A Bayesian methodology is described for designing experiments or surveys that are improved by utilizing available prior information to guide the design toward maximally reducing posterior uncertainties in the interpretation of the future experiment. Synthetic geophysical tomography examples are used to illustrate benefits of this approach.
摘要翻译：描述了贝叶斯方法，用于设计实验或调查，通过利用可用的先前信息来指导设计，以最大限度地减少未来实验的解释中的后验不确定性而改进。合成地球物理断层扫描实例用于说明这种方法的好处。

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