Conditioning of object or event based reservior models using local multiple-point statistics simulations

    公开(公告)号:US10288766B2

    公开(公告)日:2019-05-14

    申请号:US14510357

    申请日:2014-10-09

    Abstract: A computer-based method of conditioning reservoir model data includes performing a modeling process within a 3D stratigraphic grid to generate an initial model including one or more facies objects within the model volume, the modeling process including parametric distributions, initial and boundary conditions as well as depositional and erosional events to define the facies objects within the model volume. The mismatch between this initial model and the conditioning well data and potential input trend model is applied to compute a locally variable constraint model. The method further includes executing a multiple point statistics simulation with this constraint model that varies between completely constrained by the initial model at locations where the initial model is consistent with known well data and potential input trend models, and unconstrained by the initial model at locations where the initial model does not match known well data or potential input trend models to allow conformance to the known data.

    RESERVOIR PROPERTY TREND MODELING GUIDANCE USING DATA-DRIVEN UNCERTAINTY RANGE
    2.
    发明申请
    RESERVOIR PROPERTY TREND MODELING GUIDANCE USING DATA-DRIVEN UNCERTAINTY RANGE 审中-公开
    使用数据驱动不确定范围的储层物业趋势建模指导

    公开(公告)号:US20160048933A1

    公开(公告)日:2016-02-18

    申请号:US14461212

    申请日:2014-08-15

    CPC classification number: G06Q50/16 G01V99/005 G06Q10/067 G06Q30/0206

    Abstract: Methods and systems for trend modeling of subsurface properties are disclosed. One method includes defining a stratigraphic grid of a subsurface volume, the stratigraphic grid including a plurality of columns and a plurality of layers. The method further includes determining, for each layer or column, an initial average property value based at least in part on well data in the subsurface volume and a confidence interval around that initial average property value defining a range of likely values for a target average property value. The method also includes receiving one or more user-defined edits to the initial average property value in one or more of the layers or columns, the one or more edits resulting in the modeled target average property value, and determining whether the modeled target average property value falls within the confidence interval.

    Abstract translation: 公开了用于地下性质趋势建模的方法和系统。 一种方法包括定义地下体积的地层网格,地层网格包括多个列和多个层。 该方法还包括至少部分地基于地下体积中的井数据确定每个层或列的初始平均属性值,以及围绕该初始平均属性值确定目标平均属性的可能值的范围的置信区间 值。 该方法还包括在一个或多个层或列中接收对于初始平均属性值的一个或多个用户定义的编辑,该一个或多个编辑导致建模的目标平均属性值,以及确定建模的目标平均属性 值落在置信区间内。

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