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1. 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。

2. 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。

3. 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。

4. 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。

5. 发明申请

US20080300793A1 AUTOMATED FIELD DEVELOPMENT PLANNING OF WELL AND DRAINAGE LOCATIONS 有权
标题翻译：自动化田间开发规划井和排水位置
公开(公告)号：US20080300793A1
公开(公告)日：2008-12-04
申请号：US11756244
申请日：2007-05-31
申请人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
发明人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
IPC分类号： G01V9/00 , G06F19/00
CPC分类号： E21B43/30 , E21B41/00
摘要： A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.
摘要翻译：描述了一种混合进化算法（“HEA”）技术，用于自动计算场和排水位置。该技术包括使用自动化井计划工具在静态储层模型上规划一组井，以设计满足钻井和施工约束的现实井。然后基于使用最大化恢复或经济效益的成本函数的动态流模拟来选择这些位置的子集。特别是，使用成本和价值的快速计算分析工具最初创建了大量候选目标，排水孔和轨迹，随着工作流程的进行，每个连续操作中的人口规模减小，从而便于使用日益复杂的计算水库经济评估的分析工具，同时减少获得结果所需的总体时间。在最后的操作中，最有希望的FDP需要少量的全油藏模拟。

6. 发明授权

US08005658B2 Automated field development planning of well and drainage locations 有权
标题翻译：井场排水场自动化现场开发规划
公开(公告)号：US08005658B2
公开(公告)日：2011-08-23
申请号：US11756244
申请日：2007-05-31
申请人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
发明人： Peter Gerhard Tilke , William J. Bailey , Benoit Couet , Michael Prange , Martin Crick
IPC分类号： G06F17/50 , G06G7/48 , G01V3/38 , G01V1/40
CPC分类号： E21B43/30 , E21B41/00
摘要： A hybrid evolutionary algorithm (“HEA”) technique is described for automatically calculating well and drainage locations in a field. The technique includes planning a set of wells on a static reservoir model using an automated well planner tool that designs realistic wells that satisfy drilling and construction constraints. A subset of these locations is then selected based on dynamic flow simulation using a cost function that maximizes recovery or economic benefit. In particular, a large population of candidate targets, drain holes and trajectories is initially created using fast calculation analysis tools of cost and value, and as the workflow proceeds, the population size is reduced in each successive operation, thereby facilitating use of increasingly sophisticated calculation analysis tools for economic valuation of the reservoir while reducing overall time required to obtain the result. In the final operation, only a small number of full reservoir simulations are required for the most promising FDPs.
摘要翻译：描述了一种混合进化算法（“HEA”）技术，用于自动计算场和排水位置。该技术包括使用自动化井计划工具在静态储层模型上规划一组井，以设计满足钻井和施工约束的现实井。然后基于使用最大化恢复或经济效益的成本函数的动态流模拟来选择这些位置的子集。特别是，使用成本和价值的快速计算分析工具最初创建了大量候选目标，排水孔和轨迹，随着工作流程的进行，每个连续操作中的人口规模减小，从而便于使用越来越复杂的计算水库经济评估的分析工具，同时减少获得结果所需的总体时间。在最后的操作中，最有希望的FDP需要少量的全油藏模拟。

7. 发明申请

US20090299636A1 METHOD FOR SELECTING WELL MEASUREMENTS 失效
标题翻译：选择好的测量方法
公开(公告)号：US20090299636A1
公开(公告)日：2009-12-03
申请号：US12127436
申请日：2008-05-27
申请人： Andrew John Carnegie , Benoit Couet , Michael Prange , William John Bailey , Ibrahim Pamir Bursin , Stephen Flew
发明人： Andrew John Carnegie , Benoit Couet , Michael Prange , William John Bailey , Ibrahim Pamir Bursin , Stephen Flew
IPC分类号： G01V9/00 , G06G7/48 , G06F19/00
CPC分类号： E21B47/00
摘要： A method of determining a selection of well measurements and/or their respective control parameters is described based on a global target having predetermined sensitivities to a multitude of uncertainties associated with input variables to a model including the step of ranking measurements and control parameters in accordance with their capability to reduce the uncertainties of input variables identified as most sensitive input variables through simulations using the model or a reduced variant of the model.
摘要翻译：基于具有对与模型的输入变量相关联的许多不确定性的预定灵敏度的全局目标来描述确定井测量和/或其相应控制参数的选择的方法，该模型包括根据下列步骤对测量和控制参数进行排序他们通过使用模型或模型的简化变体进行模拟，减少了被识别为最敏感的输入变量的输入变量的不确定性的能力。

8. 发明授权

US08527203B2 Method for selecting well measurements 失效
标题翻译：选择井测量的方法
公开(公告)号：US08527203B2
公开(公告)日：2013-09-03
申请号：US12127436
申请日：2008-05-27
申请人： Andrew John Carnegie , Benoit Couet , Michael Prange , William John Bailey , Ibrahim Pamir Bursin , Stephen Flew
发明人： Andrew John Carnegie , Benoit Couet , Michael Prange , William John Bailey , Ibrahim Pamir Bursin , Stephen Flew
IPC分类号： G01V9/00 , G06F19/00 , G06G7/48
CPC分类号： E21B47/00
摘要： A method of determining a selection of well measurements and/or their respective control parameters is described based on a global target having predetermined sensitivities to a multitude of uncertainties associated with input variables to a model including the step of ranking measurements and control parameters in accordance with their capability to reduce the uncertainties of input variables identified as most sensitive input variables through simulations using the model or a reduced variant of the model.
摘要翻译：基于具有对与模型的输入变量相关联的许多不确定性的预定灵敏度的全局目标来描述确定井测量和/或其相应控制参数的选择的方法，该模型包括根据下列步骤对测量和控制参数进行排序他们通过使用模型或模型的简化变体进行模拟，减少了被识别为最敏感的输入变量的输入变量的不确定性的能力。

9. 发明申请

US20060151214A1 Geometrical optimization of multi-well trajectories 有权
标题翻译：多井轨迹几何优化
公开(公告)号：US20060151214A1
公开(公告)日：2006-07-13
申请号：US11300496
申请日：2005-12-14
申请人： Michael Prange , Peter Tilke , Clinton Chapman , Darren Aklestad
发明人： Michael Prange , Peter Tilke , Clinton Chapman , Darren Aklestad
IPC分类号： E21B47/02
CPC分类号： E21B47/022 , E21B7/04 , E21B43/305
摘要： A novel method is presented to automatically design a multi-well development plan given a set of previously interpreted subsurface targets. This method identifies the optimal plan by minimizing the total cost as a function of existing and required new platforms, the number of wells, and the drilling cost of each of the wells. The cost of each well is a function of the well path and the overall complexity of the well
摘要翻译：提出了一种新颖的方法来自动设计一个以前解释的地下目标集合的多井开发计划。该方法通过将总成本最小化为现有和所需的新平台，井数以及每个井的钻井成本的函数来确定最优计划。每个井的成本是井的路径和井的整体复杂度的函数

10. 发明申请

US20100010744A1 MONTE CARLO METHOD FOR LAPLACE INVERSION OF NMR DATA 有权
标题翻译：用于核磁共振数据的线性反演的蒙特卡罗方法
公开(公告)号：US20100010744A1
公开(公告)日：2010-01-14
申请号：US12172172
申请日：2008-07-11
申请人： Michael Prange , Yi-Qiao Song
发明人： Michael Prange , Yi-Qiao Song
IPC分类号： G01V3/38 , G01V3/32
CPC分类号： G01V3/32 , G01R33/483 , G01V3/14 , G01V3/18
摘要： Methods and related systems are described for extracting information about a system of nuclear spins including: performing a plurality of Nuclear Magnetic Resonance (NMR) measurements on the system of nuclear spins; acquiring NMR data from each of the plurality of NMR measurements; performing data inversion using an random-sampler to generate an ensemble of spectra so as to extract information about the system of nuclear spins; and analyzing the performed random-sampler inversion results to extract information about the system of nuclear spins.
摘要翻译：描述了用于提取关于核自旋系统的信息的方法和相关系统，包括：对核自旋系统执行多个核磁共振（NMR）测量; 从多个NMR测量中的每一个获取NMR数据; 使用随机采样器执行数据反演以产生光谱集合，以便提取关于核自旋系统的信息; 并分析所执行的随机取样器反演结果以提取关于核自旋系统的信息。

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