{"title":"考虑岩石可压缩性的多孔介质两相流热力学一致性模型的线性有效结构保持方法","authors":"Yujing Yan, Xiaoli Li","doi":"10.1016/j.cam.2025.116569","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we first reformulate the thermodynamically consistent model of incompressible and immiscible two-phase flow in porous media with rock compressibility and construct linear and efficient scheme based on the stabilized generalized scalar auxiliary variable (sGSAV) approach with the new relaxation in time and cell-centered finite difference (CCFD) method with upwind strategy in space. The constructed scheme is linear, only needs to solve one Poisson type equation and can be fully decoupled to solve the saturation and pressure at each time step. We rigorously prove that the constructed scheme is unconditionally energy stable, local mass conservative for each phase as well as pore volume, and bounds-preserving under appropriate conditions. In addition, we also construct a novel unconditionally bounds-preserving algorithm by using function transform approach based on the original model to better reflect the effect of global pressure. Finally, the reliability and efficiency of the proposed schemes can be verified through various numerical examples.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"465 ","pages":"Article 116569"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The linear and efficient structure-preserving method for the thermodynamical consistent model of two-phase flow in porous media with rock compressibility\",\"authors\":\"Yujing Yan, Xiaoli Li\",\"doi\":\"10.1016/j.cam.2025.116569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we first reformulate the thermodynamically consistent model of incompressible and immiscible two-phase flow in porous media with rock compressibility and construct linear and efficient scheme based on the stabilized generalized scalar auxiliary variable (sGSAV) approach with the new relaxation in time and cell-centered finite difference (CCFD) method with upwind strategy in space. The constructed scheme is linear, only needs to solve one Poisson type equation and can be fully decoupled to solve the saturation and pressure at each time step. We rigorously prove that the constructed scheme is unconditionally energy stable, local mass conservative for each phase as well as pore volume, and bounds-preserving under appropriate conditions. In addition, we also construct a novel unconditionally bounds-preserving algorithm by using function transform approach based on the original model to better reflect the effect of global pressure. Finally, the reliability and efficiency of the proposed schemes can be verified through various numerical examples.</div></div>\",\"PeriodicalId\":50226,\"journal\":{\"name\":\"Journal of Computational and Applied Mathematics\",\"volume\":\"465 \",\"pages\":\"Article 116569\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational and Applied Mathematics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0377042725000846\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042725000846","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
The linear and efficient structure-preserving method for the thermodynamical consistent model of two-phase flow in porous media with rock compressibility
In this paper, we first reformulate the thermodynamically consistent model of incompressible and immiscible two-phase flow in porous media with rock compressibility and construct linear and efficient scheme based on the stabilized generalized scalar auxiliary variable (sGSAV) approach with the new relaxation in time and cell-centered finite difference (CCFD) method with upwind strategy in space. The constructed scheme is linear, only needs to solve one Poisson type equation and can be fully decoupled to solve the saturation and pressure at each time step. We rigorously prove that the constructed scheme is unconditionally energy stable, local mass conservative for each phase as well as pore volume, and bounds-preserving under appropriate conditions. In addition, we also construct a novel unconditionally bounds-preserving algorithm by using function transform approach based on the original model to better reflect the effect of global pressure. Finally, the reliability and efficiency of the proposed schemes can be verified through various numerical examples.
期刊介绍:
The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.
The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.