{"title":"多相和多组分多孔介质流动的自适应耦合领域分解法","authors":"Shizhe Li, Li Zhao, Chen-Song Zhang","doi":"arxiv-2409.10875","DOIUrl":null,"url":null,"abstract":"Numerical simulation of large-scale multiphase and multicomponent flow in\nporous media is a significant field of interest in the petroleum industry. The\nfully implicit approach is favored in reservoir simulation due to its numerical\nstability and relaxed constraints on time-step sizes. However, this method\nrequires solving a large nonlinear system at each time step, making the\ndevelopment of efficient and convergent numerical methods crucial for\naccelerating the nonlinear solvers. In this paper, we present an adaptively\ncoupled subdomain framework based on the domain decomposition method. The\nsolution methods developed within this framework effectively handle strong\nnonlinearities in global problems by addressing subproblems in the coupled\nregions. Furthermore, we propose several adaptive coupling strategies and\ndevelop a method for leveraging initial guesses to accelerate the solution of\nnonlinear problems, thereby improving the convergence and parallel performance\nof nonlinear solvers. A series of numerical experiments validate the\neffectiveness of the proposed framework. Additionally, by utilizing tens of\nthousands of processors, we demonstrate the scalability of this approach\nthrough a large-scale reservoir simulation with over 2 billion degrees of\nfreedom.","PeriodicalId":501162,"journal":{"name":"arXiv - MATH - Numerical Analysis","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptively Coupled Domain Decomposition Method for Multiphase and Multicomponent Porous Media Flows\",\"authors\":\"Shizhe Li, Li Zhao, Chen-Song Zhang\",\"doi\":\"arxiv-2409.10875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Numerical simulation of large-scale multiphase and multicomponent flow in\\nporous media is a significant field of interest in the petroleum industry. The\\nfully implicit approach is favored in reservoir simulation due to its numerical\\nstability and relaxed constraints on time-step sizes. However, this method\\nrequires solving a large nonlinear system at each time step, making the\\ndevelopment of efficient and convergent numerical methods crucial for\\naccelerating the nonlinear solvers. In this paper, we present an adaptively\\ncoupled subdomain framework based on the domain decomposition method. The\\nsolution methods developed within this framework effectively handle strong\\nnonlinearities in global problems by addressing subproblems in the coupled\\nregions. Furthermore, we propose several adaptive coupling strategies and\\ndevelop a method for leveraging initial guesses to accelerate the solution of\\nnonlinear problems, thereby improving the convergence and parallel performance\\nof nonlinear solvers. A series of numerical experiments validate the\\neffectiveness of the proposed framework. Additionally, by utilizing tens of\\nthousands of processors, we demonstrate the scalability of this approach\\nthrough a large-scale reservoir simulation with over 2 billion degrees of\\nfreedom.\",\"PeriodicalId\":501162,\"journal\":{\"name\":\"arXiv - MATH - Numerical Analysis\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - Numerical Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.10875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Numerical Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptively Coupled Domain Decomposition Method for Multiphase and Multicomponent Porous Media Flows
Numerical simulation of large-scale multiphase and multicomponent flow in
porous media is a significant field of interest in the petroleum industry. The
fully implicit approach is favored in reservoir simulation due to its numerical
stability and relaxed constraints on time-step sizes. However, this method
requires solving a large nonlinear system at each time step, making the
development of efficient and convergent numerical methods crucial for
accelerating the nonlinear solvers. In this paper, we present an adaptively
coupled subdomain framework based on the domain decomposition method. The
solution methods developed within this framework effectively handle strong
nonlinearities in global problems by addressing subproblems in the coupled
regions. Furthermore, we propose several adaptive coupling strategies and
develop a method for leveraging initial guesses to accelerate the solution of
nonlinear problems, thereby improving the convergence and parallel performance
of nonlinear solvers. A series of numerical experiments validate the
effectiveness of the proposed framework. Additionally, by utilizing tens of
thousands of processors, we demonstrate the scalability of this approach
through a large-scale reservoir simulation with over 2 billion degrees of
freedom.