GEOSX:为百亿亿次计算设计的多物理场、多级别模拟器

H. Gross, A. Mazuyer
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引用次数: 7

摘要

评估大型盆地地层的二氧化碳封存能力是油气行业面临的最重要挑战之一。与这些作业相关的技术复杂性和风险量化需要新的油藏工程和油藏模拟工具。在这些操作中,多重耦合物理现象、世纪时间尺度和盆地大小模型的影响迫使我们完全拆开并重新审视现有模拟工具的数值支柱。我们需要一个油藏模拟工具,设计用于高性能计算架构的可扩展性和可移植性。为了实现这一目标,我们提出了一个新的、开源的、多物理场的、多层次的物理模拟工具,叫做GEOSX。这个工具是由劳伦斯利弗莫尔国家实验室、斯坦福大学和道达尔联合开发的。它专为多个cpu和多个gpu的可扩展性而设计,并提供了一套物理求解器,可以轻松扩展,同时实现性能和可移植性之间的平衡。GEOSX最初针对的是耦合地质力学、流动力学和传输力学的多物理场模拟,但凭借其开放的体系结构,它允许访问高性能物理解算器,作为其他多物理场问题的构建块,并为用户提供一套跨平台的数值优化工具。本文介绍了GEOSX,揭示了其基本架构原理,并给出了一个基于实际数据的CO2地质封存建模实例。我们展示了在长时间和盆地尺度上模拟流体和岩石孔隙力学相互作用的能力。GEOSX证明了它对于此类复杂和大型问题的有用性,并证明了它在多个高性能系统之间的可扩展性和可移植性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GEOSX: A Multiphysics, Multilevel Simulator Designed for Exascale Computing
Evaluating large basin-scale formations for CO2 sequestration is one of the most important challenges for our industry. The technical complexity and the quantification of risks associated with these operations call for new reservoir engineering and reservoir simulation tools. The impact of multiple coupled physical phenomena, the century timescale, and basin-sized models in these operations force us to completely take apart and revisit the numerical backbone of existing simulation tools. We need a reservoir simulation tool designed for scalability and portability on high-performance computing architectures. To achieve this, we are proposing a new, open-source, multiphysics, and multilevel physics simulation tool called GEOSX. This tool is jointly created by Lawrence Livermore National Laboratory, Stanford University, and Total. It is designed for scalability on multiple CPUs and multiple GPUs and offers a suite of physical solvers that can be extended easily while achieving a balance between performance and portability. GEOSX is initially targeting multiphysics simulations with coupled geomechanics, flow, and transport mechanics but with its open architecture, it allows access to high-performance physical solvers as building blocks of other multiphysics problems and provides users with a suite of tools for numerical optimization across platforms. In this paper, we introduce GEOSX, expose its fundamental architecture principles, and show an example of geological sequestration of CO2 modeling on real data. We demonstrate our ability to simulate fluid and rock poromechanical interactions over long periods and basin-scale dimensions. GEOSX demonstrates its usefulness for such complex and large problems and proves to be scalable and portable across multiple high-performance systems.
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