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INTEGRATED RESERVOIR MANAGEMENT SYSTEM

机译:综合油藏管理系统

摘要

The present invention relates to an integrated reservoir management system (1) for the management and control of hydrocarbon reservoirs, the system comprising a data quality management engine (110), capable of checking data from multiple real-time, legacy and static data sources (100) for consistency and for substituting poor quality data, and capable of generating a database for validated data (111); a data-driven model (13), capable of providing integrated reservoir-wells-facilities prediction in response to the validated data (111) through a calibration engine (112), and capable of generating forecasts (117) in response to a performance optimization engine (121); an analytic (10) calculation engine (114), capable of calculating reservoir health indicators RHI and storing those reservoir health indicators in the RHI database (118); a diagnostic engine (15), capable of analyzing the reservoir health indicators (118) and the validated data (111) to discover features and to associate those features to reservoir health, and storing conditions of such reservoir health features in a database for insights (119); a risk engine (116), capable of identifying reservoir management risks by analyzing the validated data (11) and the insights (119), and capturing or updating the identified risks in a risk registry (20); a performance optimization engine (121), capable of searching for optimum reservoir performance scenarios by interrogating the data-driven model (113) and providing results scenarios for a recommender engine (122); and a recommender engine (122), capable of assimilating scenarios from the performance optimization engine (121), insights database (119) and risk registry (120), comparing reservoir health indicators against established industry benchmark metrics and in response thereof recommending a set of actions (123), recommending a set of surveillance requirements (124) and recommending a set of ranked opportunities (125).
机译:本发明涉及一种用于管理和控制烃类储层的综合储层管理系统(1),该系统包括数据质量管理引擎(110),能够检查来自多个实时,传统和静态数据源的数据( 100)的一致性和不良质量数据的替代,并能够为经验证的数据生成数据库(111);数据驱动模型(13),能够通过校准引擎(112)响应经过验证的数据(111)提供集成的油藏井设施预测,并且能够响应性能优化生成预测(117)引擎(121);解析(10)计算引擎(114),能够计算储层健康指标RHI并将那些储层健康指标存储在RHI数据库(118)中;诊断引擎(15),能够分析储层健康指标(118)和经过验证的数据(111),以发现特征并将这些特征与储层健康相关联,并将此类储层健康特征的条件存储在数据库中以获取见解( 119);风险引擎(116),能够通过分析经验证的数据(11)和见解(119)来识别油藏管理风险,并在风险注册表(20)中捕获或更新已识别的风险;性能优化引擎(121),能够通过询问数据驱动模型(113)并为推荐引擎(122)提供结果场景来搜索最佳储层性能场景;推荐器引擎(122),能够从性能优化引擎(121),洞察数据库(119)和风险注册表(120)中吸收情景,将储层健康指标与已建立的行业基准指标进行比较,并以此为依据推荐一组行动(123),推荐一组监视要求(124)和推荐一组排名机会(125)。

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