{"title":"An advanced 3D continuum finite element model for field-scale in-situ stress simulation of rock media","authors":"Atefeh Dargahizarandi , Hossein Masoumi , Abolfazl Hashemi , Biswachetan Saha , Hamid Roshan","doi":"10.1016/j.simpat.2025.103183","DOIUrl":null,"url":null,"abstract":"<div><div>Accurate field-scale three-dimensional (<em>3D</em>) stress inversion using numerical simulation is crucial for obtaining in-situ stresses required for the safety and efficiency of underground minerals and energy resources extraction. However, existing commercial packages fall short in dealing with large-scale <em>3D</em> stress inversion simulations and handling complex geological models containing faults and fractures. This work lays the foundation for the development of an optimised continuum Finite Element (FE) code (3DiStress) to simulate the 3D stress state in elastic media, capable of handling complex geological models. Such a computational framework employs advanced algorithms and state-of-the-art techniques, including the implementation of fault modelling through the effective medium theory, efficient large-scale model handling via vectorisation and sparse matrix storage, Superconvergent Patch Recovery (<em>SPR</em>) to calculate the stresses precisely, and iterative boundary conditions adjustment using Genetic Algorithm (<em>GA</em>) for stress inversion. For large-scale simulations, an effective solver, renowned for its robust handling of large sparse systems (Pardiso), is implemented to solve the resultant system of equations with high efficiency in parallel on a workstation and supercomputers. Furthermore, an iterative boundary condition adjustment is performed using <em>GA</em>, to calibrate the model against on-site stress measurements, thereby optimising the stress distribution. The principal advantages of this computational tool include its capability to accurately simulate complex faulted elastic media, flexible boundary condition optimisation, and the ability to easily adapt and integrate various algorithms, making it an asset for advanced geomechanical engineering applications.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"144 ","pages":"Article 103183"},"PeriodicalIF":3.5000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation Modelling Practice and Theory","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569190X25001182","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate field-scale three-dimensional (3D) stress inversion using numerical simulation is crucial for obtaining in-situ stresses required for the safety and efficiency of underground minerals and energy resources extraction. However, existing commercial packages fall short in dealing with large-scale 3D stress inversion simulations and handling complex geological models containing faults and fractures. This work lays the foundation for the development of an optimised continuum Finite Element (FE) code (3DiStress) to simulate the 3D stress state in elastic media, capable of handling complex geological models. Such a computational framework employs advanced algorithms and state-of-the-art techniques, including the implementation of fault modelling through the effective medium theory, efficient large-scale model handling via vectorisation and sparse matrix storage, Superconvergent Patch Recovery (SPR) to calculate the stresses precisely, and iterative boundary conditions adjustment using Genetic Algorithm (GA) for stress inversion. For large-scale simulations, an effective solver, renowned for its robust handling of large sparse systems (Pardiso), is implemented to solve the resultant system of equations with high efficiency in parallel on a workstation and supercomputers. Furthermore, an iterative boundary condition adjustment is performed using GA, to calibrate the model against on-site stress measurements, thereby optimising the stress distribution. The principal advantages of this computational tool include its capability to accurately simulate complex faulted elastic media, flexible boundary condition optimisation, and the ability to easily adapt and integrate various algorithms, making it an asset for advanced geomechanical engineering applications.
期刊介绍:
The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.
The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.
Paper submission is solicited on:
• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;
• methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.;
• simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.;
• distributed and real-time simulation, simulation interoperability;
• tools for high performance computing simulation, including dedicated architectures and parallel computing.