A History Matching Study for the FluidFlower Benchmark Project

IF 2.7 3区工程技术 Q3 ENGINEERING, CHEMICAL

Transport in Porous Media Pub Date : 2024-01-16 DOI:10.1007/s11242-023-02048-7

Xiaoming Tian, Michiel Wapperom, James Gunning, Samuel Jackson, Andy Wilkins, Chris Green, Jonathan Ennis-King, Denis Voskov

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Abstract

In this study, we conduct a comprehensive history matching study for the FluidFlower benchmark model. This benchmark was prepared and organized by the University of Bergen, the University of Stuttgart, and Massachusetts Institute of Technology, for promoting understanding of the complex physics of geological carbon storage (GCS) through in-house experiments and numerical simulations. This paper synthesizes the experiences of history matching the benchmark data encountered by the Delft-DARTS and CSIRO participants. History matching is first performed based on a low-dimensional-zonated structured model using a simple Poisson-like solver. The permeability of six facies and two faults is inferred in this stage to match the digitized concentration data. The history matching is then further enhanced to richer spatial and physical models to capture the spatial variation of permeability and buoyancy effects, using an unstructured grid. Efficient adjoint methods are used to evaluate the gradient used in the optimization of data misfits or equivalent Bayesian log-likelihoods. With efficient optimization methods available for both maximum a posteriori model inference and Randomized Maximum Likelihood methods for model uncertainty, we perform history matching using both binary and continuous concentration observations. The results show that the tracer plumes in the enriched model match the experimental plumes more accurately compared with the results from the parsimonious-zonated model. The history matching results based on the concentration observations provide more similar plume shapes compared with the case based on the binary observations. The permeability difference between the model before and after history matching reveals that the tracer plume zone and the high permeable zone are the regions of high sensitivity in terms of data misfit between the model response and observations. Surprisingly, CO\(_2\) concentration plume forecasts based on these history-matched models were not especially sensitive to the improvements observed in the enhanced model.

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流体花基准项目历史匹配研究

摘要在本研究中，我们对 FluidFlower 基准模型进行了全面的历史匹配研究。该基准模型由卑尔根大学、斯图加特大学和麻省理工学院准备和组织，旨在通过内部实验和数值模拟促进对地质碳储存（GCS）复杂物理的理解。本文总结了代尔夫特-DARTS 和澳大利亚联邦科学与工业研究组织参与者在基准数据历史匹配方面的经验。首先使用简单的泊松类求解器，基于低维度带状结构模型进行历史匹配。在这一阶段，推断出六个岩层和两个断层的渗透率，以匹配数字化的浓度数据。然后，使用非结构网格，将历史匹配进一步增强为更丰富的空间和物理模型，以捕捉渗透率和浮力效应的空间变化。在优化数据误差或等效贝叶斯对数似然的过程中，使用了高效的辅助方法来评估梯度。利用可用于最大后验模型推断的高效优化方法和用于模型不确定性的随机最大似然法，我们使用二元和连续浓度观测数据进行了历史匹配。结果表明，富集模型中的示踪剂羽流与实验羽流的匹配程度比准线型模型的结果更准确。与基于二元观测的情况相比，基于浓度观测的历史匹配结果提供了更相似的羽流形状。历史匹配前后模型的渗透性差异表明，示踪羽流区和高渗透区是模型响应与观测数据不匹配的高敏感区。令人惊讶的是，基于这些历史匹配模型的一氧化碳（_2）浓度羽流预报对增强模型中观测到的改进并不特别敏感。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transport in Porous Media 工程技术-工程：化工

CiteScore

5.30

自引率

7.40%

发文量

155

审稿时长

4.2 months

期刊介绍： -Publishes original research on physical, chemical, and biological aspects of transport in porous media- Papers on porous media research may originate in various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering)- Emphasizes theory, (numerical) modelling, laboratory work, and non-routine applications- Publishes work of a fundamental nature, of interest to a wide readership, that provides novel insight into porous media processes- Expanded in 2007 from 12 to 15 issues per year. Transport in Porous Media publishes original research on physical and chemical aspects of transport phenomena in rigid and deformable porous media. These phenomena, occurring in single and multiphase flow in porous domains, can be governed by extensive quantities such as mass of a fluid phase, mass of component of a phase, momentum, or energy. Moreover, porous medium deformations can be induced by the transport phenomena, by chemical and electro-chemical activities such as swelling, or by external loading through forces and displacements. These porous media phenomena may be studied by researchers from various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering).