4.6 Article

OpenGeoSys: an open-source initiative for numerical simulation of thermo-hydro-mechanical/chemical (THM/C) processes in porous media

Journal

ENVIRONMENTAL EARTH SCIENCES
Volume 67, Issue 2, Pages 589-599

Publisher

SPRINGER
DOI: 10.1007/s12665-012-1546-x

Keywords

Porous media; Thermo-hydro-mechanical/chemical; Open-source software; OpenGeoSys; Carbon dioxide storage

Funding

  1. Academy of Sciences
  2. BGR Hannover
  3. University of Hannover
  4. Deutsche Forschungsgemeinschaft (DFG)
  5. Federal Ministry of Education and Science (BMBF)
  6. University of Tubingen
  7. Helmholtz Center for Environmental Research (UFZ)
  8. Technische Universitat Dresden

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In this paper we describe the OpenGeoSys (OGS) project, which is a scientific open-source initiative for numerical simulation of thermo-hydro-mechanical-chemical processes in porous media. The basic concept is to provide a flexible numerical framework (using primarily the Finite Element Method (FEM)) for solving multifield problems in porous and fractured media for applications in geoscience and hydrology. To this purpose OGS is based on an object-oriented FEM concept including a broad spectrum of interfaces for pre- and postprocessing. The OGS idea has been in development since the mid-eighties. We provide a short historical note about the continuous process of concept and software development having evolved through Fortran, C, and C++ implementations. The idea behind OGS is to provide an open platform to the community, outfitted with professional software-engineering tools such as platform-independent compiling and automated benchmarking. A comprehensive benchmarking book has been prepared for publication. Benchmarking has been proven to be a valuable tool for cooperation between different developer teams, for example, for code comparison and validation purposes (DEVOVALEX and CO2 BENCH projects). On one hand, object-orientation (OO) provides a suitable framework for distributed code development; however, the parallelization of OO codes still lacks efficiency. High-performance-computing efficiency of OO codes is subject to future research.

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