公开(公告)号：US20130073488A1

公开(公告)日：2013-03-21

申请号：US13589737

申请日：2012-08-20

申请人： Roger N. Anderson ,  Albert Boulanger ,  Leon L. Wu

发明人： Roger N. Anderson ,  Albert Boulanger ,  Leon L. Wu

IPC分类号： G06F15/18

CPC分类号： G06Q10/04

摘要： Techniques for evaluating the accuracy of a predicted effectiveness of an improvement to an infrastructure include collecting data, representative of at least one pre-defined metric, from the infrastructure during first and second time periods corresponding to before and after a change has been implemented, respectively. A machine learning system can receive compiled data representative of the first time period and generate corresponding machine learning data. A machine learning results evaluator can empirically analyze the generated machine learning data. An implementer can implement the change to the infrastructure based at least in part on the data from a machine learning data outputer. A system performance improvement evaluator can compare the compiled data representative of the first time period to that of the second time period to determine a difference, if any, and compare the difference, if any, to a prediction based on the generated machine learning data.

摘要翻译： 用于评估对基础设施改进的预测有效性的准确性的技术包括分别在对应于改变之前和之后的第一和第二时间段期间从基础设施收集表示至少一个预定义度量的数据 。 机器学习系统可以接收代表第一时间段的编译数据并产生相应的机器学习数据。 机器学习结果评估器可以经验性地分析生成的机器学习数据。 至少部分地基于来自机器学习数据输出器的数据，实现者可以实现对基础设施的改变。 系统性能改进评估器可以将表示第一时间段的编译数据与第二时间周期的编译数据进行比较，以确定差异（如果有的话），并根据所生成的机器学习数据将差值（如果有的话）与预测进行比较。

公开(公告)号：US09395707B2

公开(公告)日：2016-07-19

申请号：US13214057

申请日：2011-08-19

申请人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

发明人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

IPC分类号： G06F1/28 ,  G06F17/00 ,  G05B13/02 ,  G06Q10/04 ,  G06Q10/06 ,  G05B23/02 ,  G05B15/02 ,  H02J3/00

CPC分类号： G06Q10/06315 ,  G05B13/0265 ,  G05B15/02 ,  G05B23/0283 ,  G06F17/5009 ,  G06Q10/04 ,  G06Q10/06375 ,  G06Q50/06 ,  H02J2003/007 ,  Y04S10/54

摘要： The disclosed subject matter provides systems and methods for allocating resources within an infrastructure, such as an electrical grid, in response to changes to inputs and output demands on the infrastructure, such as energy sources and sinks. A disclosed system includes one or more processors, each having respective communication interfaces to receive data from the infrastructure, the data including infrastructure network data, one or more software applications, operatively coupled to and at least partially controlling the one or more processors, to process and characterize the infrastructure network data; and a display, coupled to the one or more processors, for visually presenting a depiction of at least a portion of the infrastructure including any changes in condition thereof, and one or more controllers in communication with the one or more processors, to manage processing of the resource, wherein the resource is obtained and/or distributed based on the characterization of the real time infrastructure data.

摘要翻译： 所公开的主题提供了用于在诸如电网之类的基础设施（例如电网）内分配资源的系统和方法，以响应对基础设施（例如能量源和汇）的输入和输出需求的改变。 所公开的系统包括一个或多个处理器，每个处理器具有各自的通信接口以从基础设施接收数据，数据包括基础设施网络数据，一个或多个软件应用，可操作地耦合到并且至少部分地控制一个或多个处理器，以处理 并表征基础设施网络数据; 以及耦合到所述一个或多个处理器的显示器，用于可视地呈现所述基础设施的至少一部分的描绘，包括其条件的任何改变，以及与所述一个或多个处理器通信的一个或多个控制器，以管理 资源，其中基于实时基础设施数据的表征来获得和/或分发资源。

公开(公告)号：US20130138482A1

公开(公告)日：2013-05-30

申请号：US13479198

申请日：2012-05-23

申请人： Roger N. Anderson ,  Maggie Chow ,  Albert Boulanger

发明人： Roger N. Anderson ,  Maggie Chow ,  Albert Boulanger

IPC分类号： G06Q10/06

CPC分类号： G06Q10/06375 ,  G06Q40/06

摘要： A capital asset planning system for selecting assets for improvement within an infrastructure that includes one or more data sources descriptive of the infrastructure, one or more databases, coupled to the one or more data sources, to compile the one or more data sources, one or more processors, each coupled to and having respective communication interfaces to receive data from the one or more databases. The processor includes a predictor to generate a first metric of estimated infrastructure effectiveness based, at least in part, on a current status of the infrastructure, a second metric of estimated infrastructure effectiveness based, at least in part, on a user-selected, proposed changed configuration of the infrastructure, and a net metric of infrastructure effectiveness based, at least in part, on said first metric and said second metric. The system also includes a display, coupled to have the one or more processors, for visually presenting the net metric of infrastructure effectiveness, in which the assets for improvement are selected based, at least in part, on the net metric of infrastructure effectiveness.

摘要翻译： 一种资本资产规划系统，用于在基础设施内选择资产以进行改进，所述基础设施包括描述基础设施的一个或多个数据源，耦合到所述一个或多个数据源的一个或多个数据库，以编译所述一个或多个数据源，一个或多个数据源， 更多的处理器，每个处理器耦合到并具有各自的通信接口以从一个或多个数据库接收数据。 所述处理器包括预测器，用于至少部分地基于所述基础设施的当前状态来生成估计的基础设施有效性的第一度量，所述预测器至少部分地基于用户选择的，提出的 改变了基础设施的配置，以及至少部分地基于所述第一度量和所述第二度量的基础设施有效性的净度。 该系统还包括耦合以具有一个或多个处理器的显示器，用于可视地呈现基础设施有效性的净度量度，其中至少部分地基于基础设施有效性的净度度量来选择用于改进的资产。

公开(公告)号：US20080270329A1

公开(公告)日：2008-10-30

申请号：US12045458

申请日：2008-03-10

申请人： Philip M. Long ,  Rocco A. Servedio ,  Roger N. Anderson ,  Albert Boulanger

发明人： Philip M. Long ,  Rocco A. Servedio ,  Roger N. Anderson ,  Albert Boulanger

IPC分类号： G06F15/18

CPC分类号： G06N99/005 ,  G06K9/6256

摘要： Boosting algorithms are provided for accelerated machine learning in the presence of misclassification noise. In an exemplary embodiment, a machine learning method having multiple learning stages is provided. Each learning stage may include partitioning examples into bins, choosing a base classifier for each bin, and assigning an example to a bin by counting the number of positive predictions previously made by the base classifier associated with the bin.

摘要翻译： 提供增强算法用于在存在错误分类噪声的情况下加速机器学习。 在一个示例性实施例中，提供了具有多个学习阶段的机器学习方法。 每个学习阶段可以包括将示例分割成分区，为每个分组选择一个基本分类器，并且通过对与该分组相关联的基本分类器先前做出的肯定预测的数量进行计数，将一个示例分配给一个分组。

公开(公告)号：US07395252B2

公开(公告)日：2008-07-01

申请号：US11349711

申请日：2006-02-08

申请人： Roger N. Anderson ,  Albert Boulanger

发明人： Roger N. Anderson ,  Albert Boulanger

IPC分类号： G06F17/00 ,  G06N5/00

CPC分类号： G06Q10/04 ,  G06N5/022 ,  G06N99/005 ,  G06Q10/10

摘要： An Innervated Stochastic Controller optimizes business decision-making under uncertainty through time. The Innervated Stochastic Controller uses a unified reinforcement learning algorithm to treat multiple interconnected operational levels of a business process in a unified manner. The Innervated Stochastic Controller generates actions that are optimized with respect to both financial profitability and engineering efficiency at all levels of the business process. The Innervated Stochastic Controller can be configured to evaluate real options. In one embodiment of the invention, the Innervated Stochastic Controller is configured to generate actions that are martingales. In another embodiment of the invention, the Innervated Stochastic Controller is configured as a computer-based learning system for training power grid operators to respond to grid exigencies.

摘要翻译： 内在随机控制器通过时间优化不确定性下的业务决策。 内在随机控制器采用统一的强化学习算法，统一处理业务流程的多个互联操作级别。 内在随机控制器产生针对业务流程各个层面的财务盈利能力和工程效率优化的行动。 内置随机控制器可以配置为评估实际选项。 在本发明的一个实施例中，内在随机控制器被配置为产生mart的动作。 在本发明的另一个实施例中，内置随机控制器被配置为用于训练电网运营商以响应网格紧急情况的基于计算机的学习系统。

公开(公告)号：US06826483B1

公开(公告)日：2004-11-30

申请号：US09687813

申请日：2000-10-13

申请人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Jody Winston ,  Liquing Xu ,  Ulisses Mello ,  Wendell Wiggins

发明人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Jody Winston ,  Liquing Xu ,  Ulisses Mello ,  Wendell Wiggins

IPC分类号： G01V128

CPC分类号： G01V1/30

摘要： A single intranet, internet, or World Wide Web-accessible interface is provided for, initiation of, interactive adjustments to, and access to the outputs of an integrated workflow of a plurality of analytical computer applications for characterization and analysis of traits and optimal management of the extraction of oil, gas, and water from a subsurface reservoir. By combining disparate analytical application tools in a seamless and remotely accessible, package, incompatibility problems caused by the disparate nature of petroleum analysis methods is reduced. The assumptions, analytic processes, and input data used for one analysis may be readily retrieved and re-evaluated for that reservoir or for future evaluations of the same or other reservoirs. Thus a flexible database of analysis tools and data may be implemented for access, input, and output of workflow and analytical data in the field, in conjunction with standard main computer servers, software and plug-ins, and portable remote computers.

摘要翻译： 提供单个内部网，互联网或万维网可访问接口，用于对多个分析计算机应用程序的集成工作流程的输出进行交互式调整和访问，以用于表征和分析特征和最佳管理 从地下储层抽取油，气和水。 通过将不同的分析应用工具结合在一个无缝和可远程访问的包装中，减少了由石油分析方法不同性质引起的不兼容问题。 用于一次分析的假设，分析过程和输入数据可以容易地检索并重新评估该储层，或用于将来评估相同或其他储层。 因此，与标准主计算机服务器，软件和插件以及便携式远程计算机相结合，可实现分析工具和数据的灵活数据库，用于访问，输入和输出现场的工作流和分析数据。

公开(公告)号：US08725665B2

公开(公告)日：2014-05-13

申请号：US13589737

申请日：2012-08-20

申请人： Roger N. Anderson ,  Albert Boulanger ,  Leon Wu ,  Serena Lee

发明人： Roger N. Anderson ,  Albert Boulanger ,  Leon Wu ,  Serena Lee

IPC分类号： G06F15/18

CPC分类号： G06Q10/04

摘要： Techniques for evaluating the accuracy of a predicted effectiveness of an improvement to an infrastructure include collecting data, representative of at least one pre-defined metric, from the infrastructure during first and second time periods corresponding to before and after a change has been implemented, respectively. A machine learning system can receive compiled data representative of the first time period and generate corresponding machine learning data. A machine learning results evaluator can empirically analyze the generated machine learning data. An implementer can implement the change to the infrastructure based at least in part on the data from a machine learning data outputer. A system performance improvement evaluator can compare the compiled data representative of the first time period to that of the second time period to determine a difference, if any, and compare the difference, if any, to a prediction based on the generated machine learning data.

摘要翻译： 用于评估对基础设施改进的预测有效性的准确性的技术包括分别在对应于改变之前和之后的第一和第二时间段期间从基础设施收集表示至少一个预定义度量的数据 。 机器学习系统可以接收代表第一时间段的编译数据并产生相应的机器学习数据。 机器学习结果评估器可以经验性地分析生成的机器学习数据。 至少部分地基于来自机器学习数据输出器的数据，实现者可以实现对基础设施的改变。 系统性能改进评估器可以将表示第一时间段的编译数据与第二时间周期的编译数据进行比较，以确定差异（如果有的话），并根据生成的机器学习数据将差值（如果有的话）与预测进行比较。

公开(公告)号：US08560476B2

公开(公告)日：2013-10-15

申请号：US12019347

申请日：2008-01-24

申请人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

发明人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

IPC分类号： G06F17/00 ,  G06N5/00 ,  G06G7/48

CPC分类号： G01V11/00 ,  G01V2210/612 ,  G06Q10/04

摘要： A computer-aided lean management (CALM) controller system recommends actions and manages production in an oil and gas reservoir/field as its properties and conditions change with time. The reservoir/field is characterized and represented as an electronic-field (“e-field”). A plurality of system applications describe dynamic and static e-field properties and conditions. The application workflows are integrated and combined in a feedback loop between actions taken in the field and metrics that score the success or failure of those actions. A controller/optimizer operates on the combination of the application workflows to compute production strategies and actions. The controller/optimizer is configured to generate a best action sequence for production, which is economically “always-in-the-money.”

摘要翻译： 计算机辅助精简管理（CALM）控制器系统建议在油气藏/油田中的生产进行动作和管理，因为其属性和条件随时间而变化。 水库/油田被表征为电子场（“电场”）。 多个系统应用程序描述动态和静态电场特性和条件。 应用程序工作流程被集成在一起，并结合在现场采取的动作和衡量这些操作的成功或失败的指标之间的反馈循环中。 一个控制器/优化器运行在应用程序工作流的组合上来计算生产策略和动作。 控制器/优化器被配置为生成最佳的动作序列，这是经济上“永远在金钱”。

公开(公告)号：US20080294387A1

公开(公告)日：2008-11-27

申请号：US12019347

申请日：2008-01-24

申请人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

发明人： Roger N. Anderson ,  Albert Boulanger ,  Wei He ,  Ulisses Mello ,  Liqing Xu

IPC分类号： G06F17/50 ,  G06G7/50

CPC分类号： G01V11/00 ,  G01V2210/612 ,  G06Q10/04

摘要： A computer-aided lean management (CALM) controller system recommends actions and manages production in an oil and gas reservoir/field as its properties and conditions change with time. The reservoir/field is characterized and represented as an electronic-field (“e-field”). A plurality of system applications describe dynamic and static e-field properties and conditions. The application workflows are integrated and combined in a feedback loop between actions taken in the field and metrics that score the success or failure of those actions. A controller/optimizer operates on the combination of the application workflows to compute production strategies and actions. The controller/optimizer is configured to generate a best action sequence for production, which is economically “always-in-the-money.”

摘要翻译： 计算机辅助精简管理（CALM）控制器系统建议在油气藏/油田中的生产进行动作和管理，因为其属性和条件随时间而变化。 水库/油田被表征为电子场（“电场”）。 多个系统应用程序描述动态和静态电场特性和条件。 应用程序工作流程被集成在一起，并结合在现场采取的动作和衡量这些操作的成功或失败的指标之间的反馈循环中。 一个控制器/优化器运行在应用程序工作流的组合上来计算生产策略和动作。 控制器/优化器被配置为生成最佳的动作序列，这是经济上“永远在金钱”。

公开(公告)号：US20120072039A1

公开(公告)日：2012-03-22

申请号：US13214057

申请日：2011-08-19

申请人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

发明人： Roger N. Anderson ,  Albert Boulanger ,  John A. Johnson

IPC分类号： G06F1/28 ,  G06F17/00

CPC分类号： G06Q10/06315 ,  G05B13/0265 ,  G05B15/02 ,  G05B23/0283 ,  G06F17/5009 ,  G06Q10/04 ,  G06Q10/06375 ,  G06Q50/06 ,  H02J2003/007 ,  Y04S10/54

摘要： The disclosed subject matter provides systems and methods for allocating resources within an infrastructure, such as an electrical grid, in response to changes to inputs and output demands on the infrastructure, such as energy sources and sinks. A disclosed system includes one or more processors, each having respective communication interfaces to receive data from the infrastructure, the data comprising infrastructure network data, one or more software applications, operatively coupled to and at least partially controlling the one or more processors, to process and characterize the infrastructure network data; and a display, coupled to said one or more processors, for visually presenting a depiction of at least a portion of the infrastructure including any changes in condition thereof, and one or more controllers in communication with the one or more processors, to manage processing of the resource, wherein the resource is obtained and/or distributed based on the characterization of said real time infrastructure data.

摘要翻译： 所公开的主题提供了用于在诸如电网之类的基础设施（例如电网）内分配资源的系统和方法，以响应对基础设施（例如能量源和汇）的输入和输出需求的改变。 所公开的系统包括一个或多个处理器，每个处理器具有各自的通信接口以从基础设施接收数据，该数据包括基础设施网络数据，一个或多个软件应用，可操作地耦合到且至少部分地控制一个或多个处理器，以处理 并表征基础设施网络数据; 以及耦合到所述一个或多个处理器的显示器，用于可视地呈现基础设施的至少一部分的描绘，包括其条件的任何改变，以及与所述一个或多个处理器通信的一个或多个控制器，以管理 所述资源，其中基于所述实时基础设施数据的表征来获得和/或分发所述资源。