基于agent的油藏模拟模型的数值误差量化

Bryan Doyle, B. Rivière
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引用次数: 0

摘要

基于agent的模型(ABMs)是传统的基于偏微分方程(PDE)的油藏模型的一种快速替代方案,它采用局部廉价的模拟,而不是在每个时间步都求解偏微分方程。然而,尽管在社会科学应用中已经获得了理论和数值结果,但在油藏建模的背景下,尚未对ABMs的准确性进行分析。本文通过与单相流储层的结果比较,量化了特定ABM的精度。结果表明,所提出的ABM与基于pde模型的结果相匹配,差异小于5.4%。结果适用于具有不同渗透率和不渗透屏障的单产层和双产层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Error Quantification of Agent-Based Models as Applied to Oil Reservoir Simulation
Agent-based models (ABMs) provide a fast alternative to traditional partial differential equation (PDE)-based oil reservoir models by applying localized inexpensive simulations, rather than solving a partial differential equation at every time-step. However, while there have been theoretical and numerical results obtained with ABMs in social science applications, the accuracy of ABMs has not been analyzed in the context of oil reservoir modeling. This paper quantifies the accuracy of a specific ABM by comparing its results to a single-phase flow reservoir. We show that the proposed ABM matches results given by the PDE-based model with less than 5.4% difference. Results are obtained for reservoirs with single and double producers, with varying permeability and with impermeable barriers.
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