中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A History Matching Study for the FluidFlower Benchmark Project

文献类型:期刊论文

作者Tian, Xiaoming1,2; Wapperom, Michiel1; Gunning, James3; Jackson, Samuel3; Wilkins, Andy4; Green, Chris3; Ennis-King, Jonathan3; Voskov, Denis1,5
刊名TRANSPORT IN POROUS MEDIA
出版日期2024-01-16
页码27
关键词FluidFlower CCS History matching DARTS Adjoint gradients
ISSN号0169-3913
DOI10.1007/s11242-023-02048-7
通讯作者Voskov, Denis(D.V.Voskov@tudelft.nl)
英文摘要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, CO2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document} concentration plume forecasts based on these history-matched models were not especially sensitive to the improvements observed in the enhanced model.
WOS关键词OPERATOR-BASED LINEARIZATION ; OPTIMAL INJECTION POLICIES ; ENHANCED OIL-RECOVERY ; FLOW ; STORAGE ; SEQUESTRATION ; OPTIMIZATION ; CAPTURE ; CO2
资助项目China Scholarship Council (CSC) ; Netherlands eScience Center[NLESC.OEC.2021.026]
WOS研究方向Engineering
语种英语
WOS记录号WOS:001151120000001
出版者SPRINGER
资助机构China Scholarship Council (CSC) ; Netherlands eScience Center
源URL[http://ir.giec.ac.cn/handle/344007/40798]  
专题中国科学院广州能源研究所
通讯作者Voskov, Denis
作者单位1.Delft Univ Technol, Dept Geosci & Engn, Delft, Netherlands
2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou, Peoples R China
3.CSIRO Energy, Bayview Ave, Clayton, Vic, Australia
4.CSIRO Mineral Resources, Pullenvale, OLD, Australia
5.Stanford Univ, Dept Energy Resources Engn, Stanford, CA 94305 USA
推荐引用方式
GB/T 7714
Tian, Xiaoming,Wapperom, Michiel,Gunning, James,et al. A History Matching Study for the FluidFlower Benchmark Project[J]. TRANSPORT IN POROUS MEDIA,2024:27.
APA Tian, Xiaoming.,Wapperom, Michiel.,Gunning, James.,Jackson, Samuel.,Wilkins, Andy.,...&Voskov, Denis.(2024).A History Matching Study for the FluidFlower Benchmark Project.TRANSPORT IN POROUS MEDIA,27.
MLA Tian, Xiaoming,et al."A History Matching Study for the FluidFlower Benchmark Project".TRANSPORT IN POROUS MEDIA (2024):27.

入库方式: OAI收割

来源:广州能源研究所

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