AUTOMATED CALIBRATION OF A STRATIGRAPHIC FORWARD MODELLING (SFM) TOOL USING A NEIGHBORHOOD ALGORITHM WITH EXPLICIT ESCAPE CLAUSES
    3.
    发明申请
    AUTOMATED CALIBRATION OF A STRATIGRAPHIC FORWARD MODELLING (SFM) TOOL USING A NEIGHBORHOOD ALGORITHM WITH EXPLICIT ESCAPE CLAUSES 审中-公开
    使用具有明确的ESCAPE条款的邻域算法自动校准一种横向建模(SFM)工具

    公开(公告)号:US20150127261A1

    公开(公告)日:2015-05-07

    申请号:US14366329

    申请日:2012-12-19

    CPC classification number: G01V99/00 G01V1/302 G01V99/005

    Abstract: A modified direct search Neighborhood Algorithm (NA), similar to genetic or evolutionary algorithms, is used for automatic calibration of Stratigraphic Forward Models (SFM) to data constraints. The modified NA comprises explicit escape clauses from local minima and admissible solutions, thereby preventing a natural tendency of conventional NAs to converge and oversample a single minimum. The density of models in parameter space is used to define local minima. Admissible solutions are defined by considering error thresholds taking into account that SFM may be imperfect and that calibration constraints may be uncertain. The modified NA algorithm obtains a plurality of geological scenarios that agree with the data, and which can be used for further analysis and prediction.

    Abstract translation: 与遗传或进化算法相似的经修改的直接搜索邻域算法(NA)用于将地层前向模型(SFM)自动校准到数据约束。 修改的NA包括来自局部最小值和可接受解的明确逃避条款,从而防止常规NAs自然趋向收敛和过采样单个最小值。 参数空间中模型的密度用于定义局部最小值。 通过考虑误差阈值来定义允许的解决方案,考虑到SFM可能不完美,校准约束可能不确定。 修改的NA算法获得与数据一致的多个地质场景,并可用于进一步的分析和预测。

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