油藏模拟

工作流程允许对流动模拟模型进行非结构化粗网格化和升级

本文作者提出了一种自适应网格粗化方法,该方法基于尊重储层结构和地层的约束,保留流体体积和接触面,并保持井附近的分辨率。

海岸弯曲模型(水平渗透性)。断层以黑色显示
海岸弯曲模型(水平渗透性)。断层以黑色显示。
来源:SPE 223869。

可扩展流动模拟是一项极其有用的油藏工程能力,可应用于模型校准、不确定性估计、油田优化和油藏管理。近期的案例强调将模拟问题构建为孔隙体积/渗透率网络,以开发基于物理的快速代理模型。在完整论文描述的研究中,作者开发了一种基于约束的自适应网格粗化方法,该方法尊重油藏结构和地层,保留流体体积和界面,并保持井附近分辨率。该技术可在商用油藏模拟器中实施。

问题陈述

所使用的商业模拟器在其网格粗化实现中包含几个强大的功能。

SPE徽标CMYK反式
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原文链接/JPT
Reservoir simulation

Workflow Allows Unstructured Coarse Gridding and Upscaling of Models for Flow Simulation

The authors of this paper present an adaptive grid-coarsening approach based on constraints that honor reservoir structure and stratigraphy, preserve fluid volumes and contacts, and retain resolution near wells.

Coastal Bend model (horizontal permeability). Faults are shown in black
Coastal Bend model (horizontal permeability). Faults are shown in black.
Source: SPE 223869.

Scalable flow simulation is an extremely useful reservoir engineering capability with applications to model calibration, uncertainty estimation, field optimization, and reservoir management. Recent examples have emphasized the formulation of simulation problems as pore volume/transmissibility networks to develop fast physics-based proxy models. In the study described in the complete paper, the authors develop an adaptive grid-coarsening approach based on constraints that honor reservoir structure and stratigraphy, preserve fluid volumes and contacts, and retain resolution near wells. The technique may be implemented within commercial reservoir simulators.

Problem Statement

The commercial simulator used includes several powerful features within its grid-coarsening implementation.

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