GEOS: A performance portable multi-physics simulation framework for subsurface applications

Journal Article · Thu Oct 10 00:00:00 UTC 2024 · Journal of Open Source Software

DOI: https://doi.org/10.21105/joss.06973 · OSTI ID:2519316

Settgast, Randolph R.  ^[1]; Aronson, Ryan M.  ^[2]; Besset, Julien R. ^[3]; Borio, Andrea  ^[4]; Bui, Quan M.  ^[1]; Byer, Thomas J. ^[1]; Castelletto, Nicola  ^[1]; Citrain, Aurélien  ^[3]; Corbett, Benjamin C.  ^[1]; Corbett, James ^[1]; Cordier, Philippe  ^[5]; Cremon, Matthias A.  ^[1]; Crook, Cameron M.  ^[1]; Cusini, Matteo  ^[1]; Fei, Fan  ^[1]; Frambati, Stefano  ^[3]; Franc, Jacques  ^[6]; Franceschini, Andrea  ^[6]; Frigo, Matteo  ^[6]; Fu, Pengcheng  ^[1] ; Gazzola, Thomas  ^[5]; Gross, Herve  ^[5]; Hamon, Francois  ^[5]; Han, Brian M.  ^[1]; Hao, Yue  ^[1]; Hasanzade, Rasim ^[7]; Homel, Michael  ^[1]; Huang, Jian  ^[5]; Jin, Tao  ^[1]; Ju, Isaac  ^[6]; Kachuma, Dickson ^[5]; Karimi-Fard, Mohammad  ^[6]; Kim, Taeho ^[5]; Klevtsov, Sergey  ^[6]; Lapene, Alexandre ^[5]; Magri, Victor P.  ^[1]; Mazuyer, Antoine  ^[2]; N’diaye, Mamadou ^[6]; Osei-Kuffuor, Daniel  ^[1]; Povolny, Stefan ^[1]; Ren, Guotong  ^[8]; Semnani, Shabnam J. ^[9]; Sherman, Chris S.  ^[1]; Rey, Melvin ^[10]; Tchelepi, Hamdi A.  ^[6]; Tobin, William R.  ^[1]; Tomin, Pavel  ^[8]; Untereiner, Lionel  ^[10]; Vargas, Arturo  ^[1]; Waziri, Sohail ^[7]; Wen, Xianhuan  ^[8]; White, Joshua A.  ^[1]; Wu, Hui  ^[1]

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1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
2. TotalEnergies E&P Research & Technology, Houston, TX (United States); Stanford Univ., CA (United States)
3. University De Pau Et Des Pays De L'adour (France)
4. Politecnico di Torino (Italy)
5. TotalEnergies E&P Research & Technology, Houston, TX (United States)
6. Stanford Univ., CA (United States)
7. Stanford Univ., CA (United States); Chevron Technical Center, Houston, TX (United States)
8. Chevron Technical Center, Houston, TX (United States)
9. Univ. of California, San Diego, CA (United States)
10. Independent contractor

GEOS is a simulation framework focused on solving tightly coupled multi-physics problems with an initial emphasis on subsurface reservoir applications. Currently, GEOS supports capabilities for studying carbon sequestration, geothermal energy, hydrogen storage, and related subsurface applications. The unique aspect of GEOS that differentiates it from existing reservoir simulators is the ability to simulate tightly coupled compositional flow, poromechanics, fault slip, fracture propagation, and thermal effects, etc. Extensive documentation is available on the GEOS documentation pages (GEOS Documentation, 2024). Note that GEOS, as presented here, is a complete rewrite of the previous incarnation of the GEOS referred to in (Settgast et al., 2017).

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: AC52-07NA27344
• OSTI ID: 2519316
• Report Number(s): LLNL--JRNL-864747; 1098553
• Journal Information: Journal of Open Source Software, Journal Name: Journal of Open Source Software Journal Issue: 102 Vol. 9; ISSN 2475-9066
• Publisher: Open Source Initiative - NumFOCUSCopyright Statement
• Country of Publication: United States
• Language: English