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System and method for uncertainty quantification in reservoir simulation

机译:储层模拟中不确定性量化的系统和方法

摘要

A computer-implemented reservoir prediction system, method, and software are provided for quantifying uncertainty and evaluating production performance of a subterranean reservoir. A reservoir simulation model representing a subterranean reservoir and an associated distribution of input variables are provided. A plurality of polynomial chaos expansions is generated. Each polynomial chaos expansion is used to approximate a simulation output of the reservoir simulation model for the distribution of input variables. Deterministic coefficients of the polynomial chaos expansions are calculated using a sampling process, such as a quasi-Monte Carlo method using a low discrepancy sequence. An output variable, such as cumulative oil production, and associated output variable uncertainty are forecasted using the polynomial chaos expansions and the deterministic coefficients such that production performance of the subterranean reservoir can be evaluated.
机译:提供了一种计算机实现的储层预测系统,方法和软件,用于量化不确定性和评估地下储层的生产性能。提供了代表地下储层的储层模拟模型以及相关的输入变量分布。产生多个多项式混沌展开。每个多项式混沌扩展用于近似油藏模拟模型的模拟输出,以分配输入变量。多项式混沌展开的确定性系数是使用采样过程计算的,例如使用低差异序列的准蒙特卡罗方法。使用多项式混沌扩展和确定性系数来预测输出变量(例如累计石油产量)和相关的输出变量不确定性,以便可以评估地下油藏的生产性能。

著录项

  • 公开/公告号US8805659B2

    专利类型

  • 公开/公告日2014-08-12

    原文格式PDF

  • 申请/专利权人 PALLAV SARMA;

    申请/专利号US201113029938

  • 发明设计人 PALLAV SARMA;

    申请日2011-02-17

  • 分类号G06G7/48;

  • 国家 US

  • 入库时间 2022-08-21 16:06:24

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