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    • 53. 发明申请
    • DISCONTINUITY DETECTION
    • 不连续检测
    • US20120271608A1
    • 2012-10-25
    • US13089584
    • 2011-04-19
    • Victor AarreDonatella Astratti
    • Victor AarreDonatella Astratti
    • G06G7/48G06G7/50
    • G01V99/00G06T17/10
    • Implementations of discontinuity detection are described. In one possible embodiment, information associated with a computer-generated model is accessed. A location associated with a feature in the model can be reviewed for possible discontinuity properties by comparing an orientation associated with the location to an orientation of a true normal to the feature associated with a specific point nearby the location. In one possible aspect, if the orientation associated with the location and the true normal are within a given range of one another, the location can be flagged as a possible discontinuity in the feature.
    • 描述不连续检测的实现。 在一个可能的实施例中,访问与计算机生成的模型相关联的信息。 可以通过将与位置相关联的方向与与该位置附近的特定点相关联的特征的真正法线的方向进行比较来审查与模型中的特征相关联的位置的可能的不连续性。 在一个可能的方面,如果与位置和真正法线相关联的方向在彼此的给定范围内,则该位置可以被标记为特征中的可能的不连续性。
    • 60. 发明申请
    • MARKOV DECISION PROCESS-BASED SUPPORT TOOL FOR RESERVOIR DEVELOPMENT PLANNING
    • MARKOV决策过程支持工具用于储备开发计划
    • US20100325075A1
    • 2010-12-23
    • US12864971
    • 2009-01-30
    • Vikas GoelKevin C. Furman
    • Vikas GoelKevin C. Furman
    • G06N5/02G06G7/48
    • G06Q10/04G01V99/00G06Q10/06
    • A Markov decision process-based support tool for reservoir development planning can comprise a source of input data, an optimization model, a high fidelity model for simulating the reservoir, and one or more solution routines interfacing with the optimization model. The optimization model can consider unknown parameters having uncertainties directly within the optimization model. The model incorporates the flexibility that a decision-maker has in the real world and allows the decision-maker to adjust the decisions based on new information. The model can systematically address uncertain data, for example comprehensively or even taking all uncertain data into account. Accordingly, the optimization model can provide flexible or robust solutions that remain feasible over an uncertainty space. Once the reservoir model is optimized, final development plans may be generated.
    • 用于油藏开发规划的基于马尔柯夫决策过程的支持工具可以包括输入数据源,优化模型,用于模拟油藏的高保真模型,以及与优化模型对接的一个或多个解决方案。 优化模型可以直接在优化模型中考虑具有不确定性的未知参数。 该模型融合了决策者在现实世界中的灵活性,并允许决策者根据新的信息调整决策。 该模型可以系统地处理不确定的数据,例如全面或甚至考虑所有不确定的数据。 因此,优化模型可以提供在不确定性空间上保持可行的灵活或可靠的解决方案。 一旦水库模型被优化,可能会产生最终的开发计划。