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1. 发明授权

US11492896B2 Process for infill well development in a subsurface reservoir 有权
公开(公告)号：US11492896B2
公开(公告)日：2022-11-08
申请号：US16433953
申请日：2019-06-06
申请人： Robert Klenner , Guoxiang Liu , Hayley Stephenson , Glenn Richard Murrell , Mahendra Ladharam Joshi , Dewey L. Parkey, Jr. , Naresh Sundaram Iyer , Nurali Virani
发明人： Robert Klenner , Guoxiang Liu , Hayley Stephenson , Glenn Richard Murrell , Mahendra Ladharam Joshi , Dewey L. Parkey, Jr. , Naresh Sundaram Iyer , Nurali Virani
IPC分类号： E21B47/11
摘要： A method for determining a location and trajectory for a new wellbore relative to an adjacent wellbore includes: receiving controllable variable data and uncontrollable variable data related to fracturing a formation by a stimulation operation in a first wellbore penetrating the formation; receiving pressure communication event or pressure non-communication event identification data related to identification of a pressure communication event or pressure non-communication event in a second wellbore penetrating the formation in response to the fracturing; extracting features from the controllable and uncontrollable variable data to provide extracted features; detecting a pressure communication event using the extracted features and the pressure communication event or pressure non-communication event identification data using an analytic technique; identifying one or more quantified causes of the detected pressure communication event using an artificial intelligence technique; and determining the location and trajectory of the new wellbore using the one or more quantified causes.

2. 发明申请

US20200242497A1 INTELLIGENT OPTIMIZATION OF FLOW CONTROL DEVICES 审中-公开
公开(公告)号：US20200242497A1
公开(公告)日：2020-07-30
申请号：US16258335
申请日：2019-01-25
申请人： Alireza Shahkarami , Guoxiang Liu , Naresh Sundaram Iyer , Hayley Stephenson , Atul Kshirsagar , Tushar Patil , Colin Cranfield
发明人： Alireza Shahkarami , Guoxiang Liu , Naresh Sundaram Iyer , Hayley Stephenson , Atul Kshirsagar , Tushar Patil , Colin Cranfield
IPC分类号： G06N7/00 , G06F17/50 , E21B43/12
摘要： A method for generating a well completion plan includes: evaluating a plurality of different well completion plans using a reservoir simulator to calculate dynamic flows of fluid through a subsurface formation, each well completion plan having a flow control device with location and associated flow setting or rating, and optionally a packer and location to provide output data for each well completion plan evaluation; developing a surrogate reservoir model using the output data and input data for each well completion plan evaluation; using intelligent sequential sampling of the output and input data for each well completion plan evaluation to provide intelligent sequential sampling data in response to the surrogate reservoir model not meeting a validation criterion; updating the surrogate reservoir model using the intelligent sequential sampling data; and iterating the using and the updating using a latest surrogate reservoir model until the latest surrogate reservoir model meets the validation criterion.

3. 发明授权

US11308413B2 Intelligent optimization of flow control devices 有权
公开(公告)号：US11308413B2
公开(公告)日：2022-04-19
申请号：US16258335
申请日：2019-01-25
申请人： Alireza Shahkarami , Guoxiang Liu , Naresh Sundaram Iyer , Hayley Stephenson , Atul Kshirsagar , Tushar Patil , Colin Cranfield
发明人： Alireza Shahkarami , Guoxiang Liu , Naresh Sundaram Iyer , Hayley Stephenson , Atul Kshirsagar , Tushar Patil , Colin Cranfield
IPC分类号： G06N7/00 , E21B43/12 , G06F30/20 , G06F111/08 , G06F111/10
摘要： A method for generating a well completion plan includes: evaluating a plurality of different well completion plans using a reservoir simulator to calculate dynamic flows of fluid through a subsurface formation, each well completion plan having a flow control device with location and associated flow setting or rating, and optionally a packer and location to provide output data for each well completion plan evaluation; developing a surrogate reservoir model using the output data and input data for each well completion plan evaluation; using intelligent sequential sampling of the output and input data for each well completion plan evaluation to provide intelligent sequential sampling data in response to the surrogate reservoir model not meeting a validation criterion; updating the surrogate reservoir model using the intelligent sequential sampling data; and iterating the using and the updating using a latest surrogate reservoir model until the latest surrogate reservoir model meets the validation criterion.

4. 发明授权

US08219477B2 Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms 有权
标题翻译：使用帕累托分类进化算法进行多目标投资组合分析的系统和方法
公开(公告)号：US08219477B2
公开(公告)日：2012-07-10
申请号：US10781805
申请日：2004-02-20
申请人： Rajesh Venkat Subbu , Srinivas Bollapragada , Piero Patrone Bonissone , Kete Charles Chalermkraivuth , Neil Holger White Eklund , Naresh Sundaram Iyer
发明人： Rajesh Venkat Subbu , Srinivas Bollapragada , Piero Patrone Bonissone , Kete Charles Chalermkraivuth , Neil Holger White Eklund , Naresh Sundaram Iyer
IPC分类号： G06Q40/00
CPC分类号： G06Q40/06
摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations; committing the initial population of solutions to an initial population archive; performing a multi-objective process, based on the initial population archive and on multiple competing objectives, to generate an efficient frontier, the multi-objective process including a evolutionary algorithm process, the evolutionary algorithm process utilizing a dominance filter, the efficient frontier being used in investment decisioning.
摘要翻译：本发明的系统和方法针对组合优化和相关技术。例如，本发明提供了一种用于基于竞争目标和构成组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法包括：生成投资组合分配的最初解决方案群体; 将最初的人口解决方案提交给初始人口档案; 基于初始人口档案和多个竞争目标，进行多目标过程，以产生有效的前沿，多目标过程包括进化算法过程，利用优势过滤器的进化算法过程，使用的有效边界投资决策。

5. 发明授权

US07567914B2 System and process for dominance classification for insurance underwriting suitable for use by an automated system 有权
标题翻译：适用于自动化系统的保险承保优势分类系统和流程
公开(公告)号：US07567914B2
公开(公告)日：2009-07-28
申请号：US10425723
申请日：2003-04-30
申请人： Piero Patrone Bonissone , Naresh Sundaram Iyer
发明人： Piero Patrone Bonissone , Naresh Sundaram Iyer
IPC分类号： G06Q40/00
CPC分类号： G06Q10/10 , G06F19/00 , G06Q40/02 , G06Q40/08 , G06Q50/22 , G06Q50/24
摘要： A risk classification technique that exploits the existing risk structure of the decision problem in order to produce risk categorizations for new candidates is described. The technique makes use of a set of candidates for which risk categories have already been assigned (in the case of insurance underwriting, for example, this would pertain to the premium class assigned to an application). Using this set of labeled candidates, the technique produces two subsets for each risk category: the Pareto-best subset and the Pareto-worst subset by using Dominance. These two subsets can be seen as representing the least risky and the most risky candidates within a given risk category. If there are a sufficient number of candidates in these two subsets, then the candidates in these two subsets can be seen as samples from the two hypothetical risk surfaces in the feature space that bound the risk category from above and below respectively. A new candidate is assigned a risk category by verifying if the candidate lies within these two bounding risk surfaces.
摘要翻译：描述了利用现有风险决策问题的风险分类技术，以便为新候选人提供风险分类。该技术利用已经分配了风险类别的一组候选人（在保险承保的情况下，例如，这将涉及分配给应用程序的溢价级别）。使用这组标记候选者，该技术为每个风险类别产生两个子集：通过使用Dominance，帕累托最佳子集和帕累托最差子集。这两个子集可以被视为代表风险类别中风险最低，风险最高的候选人。如果这两个子集中有足够数量的候选人，那么这两个子集中的候选人可以被看作是从特征空间的两个假设风险面的样本，分别从上下分别界定风险类别。通过验证候选人是否位于这两个边界风险表面内，为新的候选人分配了风险类别。

6. 发明授权

US07437343B1 Multi-criterial decision making system and method 有权
标题翻译：多标准决策制度和方法
公开(公告)号：US07437343B1
公开(公告)日：2008-10-14
申请号：US11553126
申请日：2006-10-26
申请人： John R. Josephson , Balakrishnan Chandrasekaran , Mark Carroll , Naresh Sundaram Iyer
发明人： John R. Josephson , Balakrishnan Chandrasekaran , Mark Carroll , Naresh Sundaram Iyer
IPC分类号： G06F17/00 , G06N5/04
CPC分类号： G06Q10/06 , Y10S707/99933
摘要： An architecture is disclosed for assistance with exploration of design and other decision spaces and for making decisions. These decision spaces may be very large. The architecture consists of three main components: A Seeker acquires candidates by generating or retrieving them, along with their scores according to one or more criteria. A Filter locates a relatively small number of promising candidates that are retained for further analysis. Various filters may be used to locate the promising candidates. A Viewer allows a user to examine trade-off diagrams, and other linked displays, that present the filtered candidates for evaluation, analysis, further exploration, and narrowing the choice set. The computational load of the Seeker may be distributed among a large number of clients in a client-server computing environment.
摘要翻译：披露了一种架构，用于协助探索设计和其他决策空间以及作出决策。这些决策空间可能非常大。该架构由三个主要组成部分组成：寻求者根据一个或多个标准通过生成或检索它们以及其分数来获取候选者。过滤器定位了相对较少数量的有希望的候选人，用于进一步分析。可以使用各种滤波器来定位有希望的候选者。查看器允许用户检查权衡图和其他链接显示，呈现过滤的候选人进行评估，分析，进一步探索和缩小选择集。 Seeker的计算负载可以分布在客户端 - 服务器计算环境中的大量客户端之间。

7. 发明授权

US07155423B1 Multi-criterial decision making system and method 有权
标题翻译：多标准决策制度和方法
公开(公告)号：US07155423B1
公开(公告)日：2006-12-26
申请号：US09717332
申请日：2000-11-20
申请人： John R. Josephson , Balakrishran Chandrasekaran , Mark Carroll , Naresh Sundaram Iyer
发明人： John R. Josephson , Balakrishran Chandrasekaran , Mark Carroll , Naresh Sundaram Iyer
IPC分类号： G06F17/00 , G06N7/04
CPC分类号： G06Q10/06 , Y10S707/99933
摘要： An architecture is disclosed for assistance with exploration of design and other decision spaces and for making decisions. These decision spaces may be very large. The architecture consists of three main components: A Seeker acquires candidates by generating or retrieving them, along with their scores according to one or more criteria. A Filter locates a relatively small number of promising candidates that are retained for further analysis. Various filters may be used to locate the promising candidates. A Viewer allows a user to examine trade-off diagrams, and other linked displays, that present the filtered candidates for evaluation, analysis, further exploration, and narrowing the choice set. The computational load of the Seeker may be distributed among a large number of clients in a client-server computing environment.
摘要翻译：披露了一种架构，用于协助探索设计和其他决策空间以及作出决策。这些决策空间可能非常大。该架构由三个主要组成部分组成：寻求者根据一个或多个标准通过生成或检索它们以及其分数来获取候选者。过滤器定位了相对较少数量的有希望的候选人，用于进一步分析。可以使用各种滤波器来定位有希望的候选者。查看器允许用户检查权衡图和其他链接显示，呈现过滤的候选人进行评估，分析，进一步探索和缩小选择集。 Seeker的计算负载可以分布在客户端 - 服务器计算环境中的大量客户端之间。

8. 发明授权

US08214314B2 System and process for a fusion classification for insurance underwriting suitable for use by an automated system 有权
标题翻译：用于融合分类的系统和过程，适用于自动化系统使用的保险承保
公开(公告)号：US08214314B2
公开(公告)日：2012-07-03
申请号：US12131545
申请日：2008-06-02
申请人： Piero Patrone Bonissone , Kareem Sherif Aggour , Rajesh Venkat Subbu , Weizhong Yan , Naresh Sundaram Iyer , Anindya Chakraborty
发明人： Piero Patrone Bonissone , Kareem Sherif Aggour , Rajesh Venkat Subbu , Weizhong Yan , Naresh Sundaram Iyer , Anindya Chakraborty
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06Q40/08 , G06Q40/00
摘要： A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers. The reliability of each classifier can be represented by a static or dynamic discounting factor, which will reflect the expected accuracy of the classifier. A static discounting factor is used to represent a prior expectation about the classifier's reliability, e.g., it might be based on the average past accuracy of the model, while a dynamic discounting is used to represent a conditional assessment of the classifier's reliability, e.g., whenever a classifier bases its output on an insufficient number of points it is not reliable.
摘要翻译：描述用于融合用于自动保险承保系统的分类器集合和/或其质量保证的方法和系统。具体来说，分类器的集合的输出被融合。数据的融合通常会导致一些共识和分类器之间的一些冲突。共识将被测量并用于估计融合决策的信心程度。根据融合的决定和信心程度以及生产决策引擎的决策和决策程度，然后可以使用比较模块来识别审计案例，增加用于重新调整生产的培训/测试集的案例决策引擎，审查案例，或者可以简单地触发其发生记录以进行跟踪。融合可以补偿分类器之间的潜在相关性。每个分类器的可靠性可以由静态或动态折扣因子表示，这将反映分类器的预期准确性。静态折扣因子用于表示对分类器的可靠性的先前期望，例如，可以基于模型的平均过去精度，而使用动态贴现来表示分类器的可靠性的条件评估，例如，每当分类器的输出基于不可靠的点数不足。

9. 发明授权

US07801748B2 System and process for detecting outliers for insurance underwriting suitable for use by an automated system 有权
标题翻译：用于检测适合自动化系统使用的保险承保异常值的系统和过程
公开(公告)号：US07801748B2
公开(公告)日：2010-09-21
申请号：US10425722
申请日：2003-04-30
申请人： Piero Patrone Bonissone , Naresh Sundaram Iyer
发明人： Piero Patrone Bonissone , Naresh Sundaram Iyer
IPC分类号： G06Q40/00
CPC分类号： G06Q40/08 , G06F19/00 , G06Q50/22 , G06Q50/24
摘要： An outlier detector that exploits the existing risk structure of the decision problem in order to discover risk assignments that are globally inconsistent is described. The technique works on a set of candidates for which risk categories have already been assigned. In the case of insurance underwriting, the invention pertains to the premium class assigned to an application. For this set of labeled candidates, the system finds all such pairs of applications belonging to different risk categories, which violate the principle of dominance. The invention matches the risk ordering of the applications with the ordering imposed by dominance and uses any mismatch during the process to identify applications that were potentially assigned incorrect risk categories.
摘要翻译：描述了利用现有决策问题的风险结构以发现全局不一致的风险分配的异常值检测器。该技术适用于已经分配了风险类别的一组候选人。在保险承保的情况下，本发明涉及分配给申请的溢价级别。对于这组标注候选人，系统发现属于不同风险类别的所有这些应用程序对都违反了主导原则。本发明将应用程序的风险排序与由优势强加的排序相匹配，并在流程中使用任何不匹配来识别潜在分配的不正确风险类别的应用程序。

10. 发明授权

US07630928B2 Systems and methods for multi-objective portfolio analysis and decision-making using visualization techniques 有权
标题翻译：使用可视化技术进行多目标投资组合分析和决策的系统和方法
公开(公告)号：US07630928B2
公开(公告)日：2009-12-08
申请号：US10781871
申请日：2004-02-20
申请人： Piero Patrone Bonissone , Srinivas Bollapragada , Kete Charles Chalermkraivuth , Neil Holger White Eklund , Naresh Sundaram Iyer , Rajesh Venkat Subbu
发明人： Piero Patrone Bonissone , Srinivas Bollapragada , Kete Charles Chalermkraivuth , Neil Holger White Eklund , Naresh Sundaram Iyer , Rajesh Venkat Subbu
IPC分类号： G06Q40/00
CPC分类号： G06Q40/06
摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method sequentially comprising: generating a non-dominated solution set in a space; applying a first set of user-specified constraints to reduce the solutions in the non-dominated solution set to a solution subset; and executing a series of local tradeoffs on the solution subset to result in a resulting solution subset, the local tradeoffs being performed in a lower dimension performance space as compared to the space, and the solution subset being used in investment decisioning.
摘要翻译：本发明的系统和方法针对组合优化和相关技术。例如，本发明提供了一种用于基于竞争目标和构成投资组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法顺序地包括：在空间中生成非主导解集; 应用第一组用户指定的约束以将非主导解集合中的解减少到解子集; 并且在解决方案子集上执行一系列局部权衡以产生最终的解决方案子集，与空间相比较，在较低维度的性能空间中执行本地权衡，以及在投资决策中使用的解决方案子集。

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