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1.发明申请Method and system for integrated asset management utilizing multi-level modeling of oil field assets 审中-公开利用油田资产多层次建模综合资产管理方法与制度公开(公告)号：US20080133550A1
公开(公告)日：2008-06-05
申请号：US11505163
申请日：2006-08-15
CPC分类号： G06Q10/087
摘要： A method for creating an integrated asset management system for an oilfield, the method including: creating a plurality of models representing asset components each model having more than one levels of detail; connecting the more than one models to communicate with one another to create an integrated asset management system; selecting the levels of detail for the more than one models; and performing an analysis on the integrated asset management system utilizing the selected levels of detail to predict a characteristic of the integrated asset management system.
摘要翻译： 一种用于创建用于油田的综合资产管理系统的方法，所述方法包括：创建表示资产组分的多个模型，每个模型具有多于一个细节级别; 连接多个模型进行通信，建立综合资产管理系统; 选择多个模型的细节级别; 并利用所选择的细节级别对综合资产管理系统进行分析，以预测综合资产管理系统的特性。
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2.发明申请System and Method for Oil Production Forecasting and Optimization in a Model-Based Framework 审中-公开基于模型框架的石油生产预测与优化系统与方法公开(公告)号：US20080255892A1
公开(公告)日：2008-10-16
申请号：US11734214
申请日：2007-04-11
IPC分类号： G06Q99/00
CPC分类号： G06Q10/04 , G06Q10/063 , G06Q10/0639
摘要： Systems and methods are directed to forecasting oilfield production in an integrated asset management framework and specifying conditions associated with the plurality of models. A graphical interface for generates a plurality of models that represent asset components in the oilfield, and a database stores the plurality of models. An application toolkit for analyzes at least one of the plurality of stored models based on a scenario to forecast a performance of an asset component associated with the at least one analyzed model.
摘要翻译： 系统和方法旨在预测综合资产管理框架中的油田生产，并指定与多个模型相关的条件。 用于生成表示油田中的资产组件的多个模型的图形界面，数据库存储多个模型。 一种应用工具包，用于基于用于预测与所述至少一个分析模型相关联的资产组件的性能的场景来分析所述多个存储模型中的至少一个模型。
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公开(公告)号：US08533152B2
公开(公告)日：2013-09-10
申请号：US12275877
申请日：2008-11-21
申请人： Jing Zhao , Fan Sun , Carlo Torniai , Amol B. Bakshi , Viktor K. Prasanna
发明人： Jing Zhao , Fan Sun , Carlo Torniai , Amol B. Bakshi , Viktor K. Prasanna
IPC分类号： G06F17/30
CPC分类号： G06F17/30286 , G06Q10/06 , G06Q10/0633
摘要： A method for deriving data provenance information corresponding to a workflow process having lower-level workflow processes includes deriving internal provenance information for data pertaining to at least one of the lower-level workflow processes, identifying data objects that are shared between at least a pair of lower-level workflow processes to derive external provenance information for the identified data objects, in response to a user-submitted query, using the internal and external provenance information to retrieve the data provenance information for the workflow process, and outputting the derived data provenance to a user.
摘要翻译： 一种用于导出与具有较低级别工作流过程的工作流程相对应的数据来源信息的方法包括：为与下级工作流过程中的至少一个有关的数据导出内部来源信息，识别在至少一对 较低级别的工作流程，以响应于用户提交的查询，使用内部和外部来源信息来检索用于工作流过程的数据来源信息，并将导出的数据来源输出到所识别的数据对象的外部来源信息 一个用户
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公开(公告)号：US20100070463A1
公开(公告)日：2010-03-18
申请号：US12275877
申请日：2008-11-21
申请人： Jing Zhao , Fan Sun , Carlo Torniai , Amol B. Bakshi , Viktor K. Prasanna
发明人： Jing Zhao , Fan Sun , Carlo Torniai , Amol B. Bakshi , Viktor K. Prasanna
IPC分类号： G06F17/00
CPC分类号： G06F17/30286 , G06Q10/06 , G06Q10/0633
摘要： A method for deriving data provenance information corresponding to a workflow process having lower-level workflow processes includes deriving internal provenance information for data pertaining to at least one of the lower-level workflow processes, identifying data objects that are shared between at least a pair of lower-level workflow processes to derive external provenance information for the identified data objects, in response to a user-submitted query, using the internal and external provenance information to retrieve the data provenance information for the workflow process, and outputting the derived data provenance to a user.
摘要翻译： 一种用于导出与具有较低级别工作流过程的工作流程相对应的数据来源信息的方法包括：为与下级工作流过程中的至少一个有关的数据导出内部来源信息，识别在至少一对 较低级别的工作流程，以响应于用户提交的查询，使用内部和外部来源信息来检索用于工作流过程的数据来源信息，并将导出的数据来源输出到所识别的数据对象的外部来源信息 一个用户
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公开(公告)号：US5468069A
公开(公告)日：1995-11-21
申请号：US100928
申请日：1993-08-03
申请人： Viktor K. Prasanna , Cho-Li Wang , Heonchul Park
发明人： Viktor K. Prasanna , Cho-Li Wang , Heonchul Park
CPC分类号： G06T9/008
摘要： Video data compression techniques reduce necessary storage size and communication channel bandwidth while maintaining acceptable fidelity. Vector quantization provides better overall data compression performance by coding vectors instead of scalars. The search algorithm and VLSI architecture for implementing it is herein disclosed, and such a search algorithm is useful for real-time image processing. The architecture employs a single processing element and external memory for storing the N constant value hyperplanes used in the search, where N is the number of codevectors. The design does not perform any multiplication operation using the constant value hyperplane tree search, since the tree search method is independent of any L.sub.q metric for q between one and infinity. Memory used by the design is significantly less than memory employed in existing architecture.
摘要翻译： 视频数据压缩技术在保持可接受的保真度的同时减少必要的存储大小和通信信道带宽。 矢量量化通过编码矢量而不是标量来提供更好的总体数据压缩性能。 这里公开了用于实现它的搜索算法和VLSI架构，并且这种搜索算法对于实时图像处理是有用的。 该架构采用单个处理元件和外部存储器来存储在搜索中使用的N个恒定值超平面，其中N是代码矢量的数量。 该设计不使用常数值超平面树搜索来执行任何乘法运算，因为树搜索方法独立于一个和无穷大之间的q的任何Lq度量。 设计使用的内存明显小于现有架构中使用的内存。
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