{"title":"A first streamline-based simulation method within the projection-based embedded discrete fracture model (pEDFM)","authors":"Xiang Rao , Shuqing Guo , Xupeng He , Hyung Kwak , Hussein Hoteit","doi":"10.1016/j.compgeo.2025.107357","DOIUrl":null,"url":null,"abstract":"<div><div>This work presents the first streamline (SL) simulation method within the framework of a projection-based embedded discrete fracture model (pEDFM). The implemented pEDFM is formulated by combining two-point flux approximation (TPFA) and mimetic finite difference (MFD) schemes. We refer to the proposed numerical framework as SL-based pEDFM using hybrid TPFA-MFD scheme. It is operated in an IMPES manner. Specifically, the hybrid TPFA-MFD scheme is adopted to implicitly solve the pressure equation. The SL tracking workflow within the pEDFM framework is developed and applied to solve the transport equation in parallel along each streamline. We benchmark the proposed method with other existing streamline- or finite-volume-based approaches on various numerical examples. The results show that the proposed method exhibits broader general applicability compared to the SL-based EDFM, higher accuracy and efficiency than the TPFA-based pEDFM, and greater flexibility in mesh generation than the DFM-based approaches. The advantages underscore the great potential of the proposed method to be implemented in field-scale diagnostics and simulations.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"185 ","pages":"Article 107357"},"PeriodicalIF":5.3000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X25003064","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents the first streamline (SL) simulation method within the framework of a projection-based embedded discrete fracture model (pEDFM). The implemented pEDFM is formulated by combining two-point flux approximation (TPFA) and mimetic finite difference (MFD) schemes. We refer to the proposed numerical framework as SL-based pEDFM using hybrid TPFA-MFD scheme. It is operated in an IMPES manner. Specifically, the hybrid TPFA-MFD scheme is adopted to implicitly solve the pressure equation. The SL tracking workflow within the pEDFM framework is developed and applied to solve the transport equation in parallel along each streamline. We benchmark the proposed method with other existing streamline- or finite-volume-based approaches on various numerical examples. The results show that the proposed method exhibits broader general applicability compared to the SL-based EDFM, higher accuracy and efficiency than the TPFA-based pEDFM, and greater flexibility in mesh generation than the DFM-based approaches. The advantages underscore the great potential of the proposed method to be implemented in field-scale diagnostics and simulations.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.