Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017WR022073 |
Efficient Monte Carlo With Graph-Based Subsurface Flow and Transport Models | |
O&1; 39;Malley, D.2 | |
2018-05-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:5页码:3758-3766 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Simulating flow and transport in fractured porous media frequently involves solving numerical discretizations of partial differential equations with a large number of degrees of freedom using discrete fracture network (DFN) models. Uncertainty in the properties of the fracture network that controls flow and transport requires a large number of DFN simulations to statistically describe quantities of interest. However, the computational cost of solving more than a few realizations of a large DFN can be intractable. As a means of circumventing this problem, we utilize both a high-fidelity DFN model and a graph-based model of flow and transport in combination with a multifidelity Monte Carlo (MC) method to reduce the number of high-fidelity simulations that are needed to obtain an accurate estimate of the quantity of interest. We demonstrate the approach by estimating quantiles of the breakthrough time for a conservative tracer in an ensemble of fractured porous media. Our results demonstrate that a multifidelity MC estimate, whose computational cost is equal to the cost of 10 DFN simulations, can be as accurate as a standard MC estimate that utilizes 1,000 DFN simulations. Thus the combination of our graph-based model with multifidelity MC estimates effectively reduces the computational cost of the problem by a factor of approximately 100. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000442351300028 |
WOS关键词 | DISCRETE FRACTURE NETWORKS ; DISTRIBUTIONS ; SIMULATIONS ; UNCERTAINTY ; SITE |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22060 |
专题 | 资源环境科学 |
作者单位 | 1.Los Alamos Natl Lab, Computat Earth Sci EES 16, Los Alamos, NM 87545 USA; 2.Los Alamos Natl Lab, Appl Math & Plasma Phys T 5, Los Alamos, NM USA |
推荐引用方式 GB/T 7714 | O&,39;Malley, D.. Efficient Monte Carlo With Graph-Based Subsurface Flow and Transport Models[J]. WATER RESOURCES RESEARCH,2018,54(5):3758-3766. |
APA | O&,&39;Malley, D..(2018).Efficient Monte Carlo With Graph-Based Subsurface Flow and Transport Models.WATER RESOURCES RESEARCH,54(5),3758-3766. |
MLA | O&,et al."Efficient Monte Carlo With Graph-Based Subsurface Flow and Transport Models".WATER RESOURCES RESEARCH 54.5(2018):3758-3766. |
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