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TOUGH Research Papers

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TOUGH Review Articles, Verification and Validation Reports, Code Comparison Studies

  • Plampin MR, Neuzil CE. Multiphase flow and underpressured shale at the Bruce nuclear site, Ontario, Canada. Geological Society, London, Special Publications. 2018 Sep 7;SP482.5. DOI:
  • Finsterle, S., M. Commer, J. Edmiston, Y. Jung, M.B. Kowalsky, G.S.H. Pau, H. Wainwright, and Y. Zhang, iTOUGH2: A simulation-optimization framework for analyzing multiphysics subsurface systems, Computers & Geosciences, doi:10.1016/j.cageo.2016.09.005, 2016.
  • White, M.D., et al., Benchmark Problems of the Geothermal Technologies Office Code Comparison Study, Report PNNL-26016, Pacific Northwest National Laboratory, Richland, Washington, November 2016.
  • Fowler, S.J., G. Kosakowski, T. Driesner, D.A. Kulik, S. Wilhelm, and O. Masset, Numerical simulation of reactive fluid flow on unstructured meshes, Transp. Porous Med., 112, 283-312, 2016, doi:10.1007/s11242-016-0645-7.
  • Mukhopadhyay, S., C. Doughty, D. Bacon, J. Li, L. Wei, H. Yamamoto, S. Gasda, S.A. Hosseini, J.-P. Nicot, and J.T. Birkholzer, The Sim-SEQ Project: Comparison of selected flow models for the S-3 site, Transp. Porous Med., 108(1), 207-231, 2015, doi:10.1007/s11242-014-0361-0.
  • Steefel, C.I., C. A. J. Appelo, B. Arora, D. Jacques, T. Kalbacher, O. Kolditz, V. Lagneau, P. C. Lichtner, K. U. Mayer, J. C. L. Meeussen, S. Molins, D. Moulton, H. Shao , J. Simunek, N. Spycher, S. B. Yabusaki, and G. T. Yeh, Reactive transport codes for subsurface environmental simulation, Computational Geosciences, 19(3), 445-478, 2015, doi:10.1007/s10596-014-9443-x.
  • Finsterle, S., E.L. Sonnenthal, and N. Spycher, Advances in subsurface modeling using the TOUGH suite of simulators, Computers & Geosciences, doi:10.1016/j.cageo.2013.06.009, 65, 2-12, 2014.
  • Baca, R.G., Seth, M.S., 1996. Benchmark testing of thermohydrologic computer codes. Report CNWRA 96-003, Center for Nuclear Waste Regulatory Analyses, San Antonia, Texas, pp. 45.
  • Birkle, P., 2011. Advances in geochemical modeling for geothermal applications. In: Bundschuh, J., Zilberbrand, M. (Eds.), Geochemical modeling of groundwater, vadose and geothermal systems, ISBN 978-0-415-66810-1CRC Press, Leiden, The Netherlands, pp. 332.
  • Finsterle, S., Multiphase inverse modeling: Review and iTOUGH2 applications. Vadose Zone J., 3: 747–762, 2004.
  • Finsterle, S., C. Doughty, M.B. Kowalsky, G.J. Moridis, L. Pan, T. Xu, Y. Zhang, and K. Pruess, Advanced vadose zone simulations using TOUGH, Vadose Zone J., 7: 601–609, doi:10.2136/vzj2007.0059, 2008.
  • Finsterle, S., M.B. Kowalsky, and K. Pruess, TOUGH: Model use, calibration and validation, Transactions of the ASABE, 55(4), 1275–1290, 2012.
  • Hudson, J.A., Bäckström, A., Rutqvist, J., Jing, L., Backers, T., Chijimatsu, M., Christiansson, R., Feng, X.-T., Kobayashi, A., Koyama, T., Lee, H.-S., Neretnieks, I., Pan, P.Z., Rinne, M., Shen, B.T., 2009. Characterising and modelling the excavation damaged zone (EDZ) in crystalline rock in the context of radioactive waste disposal. Environmental Geology 57, 1275–1291.
  • MDH Engineered Solutions Corporation, Evaluation of Computer Models for Predicting the Fate and Transport of Hydrocarbons in Soil and Groundwater, Pub No. 808, ISBN No. 0-7785-4040-5, May 2005.
  • Oldenburg, C.M., Law, D.H.-S., LeGallo, Y., White, S.P., 2003. Mixing of CO2 and CH4 in gas reservoirs: code comparison studies. Greenhouse Gas Control Technologies 1, 443–448.
  • O’Sullivan, M.J., Pruess, K., Lippmann, M.J., 2001. State of the art of geothermal reservoir simulation. Geothermics 30, 395–429.
  • Pruess, K., The TOUGH codes—a family of simulation tools for multiphase flow and transport processes in permeable media. Vadose Zone J., 3: 738–746, 2004.
  • Pruess, K., S. Finsterle, G. Moridis, C. Oldenburg and Y.-S. Wu, General-purpose reservoir simulators: the TOUGH2 family, GRC Bulletin, 53–57. February 1997.
  • Pruess, K., J. García, T. Kovscek, C. Oldenburg, J. Rutqvist, C. Steefel and T. Xu. Code Intercomparison Builds Confidence in Numerical Simulation Models for Geologic Disposal of CO2. Energy, 29 (9-10): 1431-1444, 2004.