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Heinemann, N., Alcalde, J., Miocic, J.M., Hangx, S.J.T., Kallmeyer, J., Ostertag-Henning, C., Hassanpouryouzband, A., Thaysen, E.M., Strobel, G.J., Schmidt-Hattenberger, C., Edlmann, K., Wilkinson, M., Bentham, M., Stuart Haszeldine, R., Carbonell, R., Rudloff, A.: Enabling large-scale hydrogen storage in porous media – the scientific challenges. Energy Environ. Sci. 14(2), 853–864 (2021). https://doi.org/10.1039/D0EE03536J
Kelemen, P., Benson, S.M., Pilorgé, H., Psarras, P., Wilcox, J.: An Overview of the Status and Challenges of CO2 Storage in Minerals and Geological Formations. Frontiers in Climate 1(9) (2019). doi:https://doi.org/10.3389/fclim.2019.00009
Kabuth, A., Dahmke, A., Beyer, C., Bilke, L., Dethlefsen, F., Dietrich, P., Duttmann, R., Ebert, M., Feeser, V., Görke, U.-J., Köber, R., Rabbel, W., Schanz, T., Schäfer, D., Würdemann, H., Bauer, S.: Energy storage in the geological subsurface: dimensioning, risk analysis and spatial planning: the ANGUS+ project. Environ. Earth Sci. 76(1), 23 (2016). https://doi.org/10.1007/s12665-016-6319-5
Steefel, C.I., Appelo, C.A.J., Arora, B., Jacques, D., Kalbacher, T., Kolditz, O., Lagneau, V., Lichtner, P.C., Mayer, K.U., Meeussen, J.C.L., Molins, S., Moulton, D., Shao, H., Simunek, J., Spycher, N., Yabusaki, S.B., Yeh, G.T.: Reactive transport codes for subsurface environmental simulation. Comput. Geosci. 19(3), 445–478 (2015). https://doi.org/10.1007/s10596-014-9443-x
Molins, S., Soulaine, C., Prasianakis, N.I., Abbasi, A., Poncet, P., Ladd, A.J.C., Starchenko, V., Roman, S., Trebotich, D., Tchelepi, H.A., Steefel, C.I.: Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: review of approaches and benchmark problem set. Comput. Geosci. (2020). https://doi.org/10.1007/s10596-019-09903-x
Tournassat, C., Steefel, C.I.: Modeling diffusion processes in the presence of a diffuse layer at charged mineral surfaces: a benchmark exercise. Comput. Geosci. (2019). https://doi.org/10.1007/s10596-019-09845-4
Rasouli, P., Steefel, C.I., Mayer, K.U., Rolle, M.: Benchmarks for multicomponent diffusion and electrochemical migration. Comput. Geosci. 19(3), 523–533 (2015). https://doi.org/10.1007/s10596-015-9481-z
Alt-Epping, P., Tournassat, C., Rasouli, P., Steefel, C.I., Mayer, K.U., Jenni, A., Mäder, U., Sengor, S.S., Fernández, R.: Benchmark reactive transport simulations of a column experiment in compacted bentonite with multispecies diffusion and explicit treatment of electrostatic effects. Comput. Geosci. 19(3), 535–550 (2015). https://doi.org/10.1007/s10596-014-9451-x
Poonoosamy, J., Wanner, C., Alt Epping, P., Águila, J.F., Samper, J., Montenegro, L., Xie, M., Su, D., Mayer, K.U., Mäder, U., Van Loon, L.R., Kosakowski, G.: Benchmarking of reactive transport codes for 2D simulations with mineral dissolution–precipitation reactions and feedback on transport parameters. Comput. Geosci. (2018). https://doi.org/10.1007/s10596-018-9793-x
Xie, M., Mayer, K.U., Claret, F., Alt-Epping, P., Jacques, D., Steefel, C., Chiaberge, C., Simunek, J.: Implementation and evaluation of permeability-porosity and tortuosity-porosity relationships linked to mineral dissolution-precipitation. Comput. Geosci. 19(3), 655–671 (2015). https://doi.org/10.1007/s10596-014-9458-3
Jia, M., Jacques, D., Gérard, F., Su, D., Mayer, K.U., Šimůnek, J.: A benchmark for soil organic matter degradation under variably saturated flow conditions. Comput. Geosci. (2019). https://doi.org/10.1007/s10596-019-09862-3
Cheng, Y., Arora, B., Şengör, S.S., Druhan, J.L., Wanner, C., van Breukelen, B.M., Steefel, C.I.: Microbially mediated kinetic sulfur isotope fractionation: reactive transport modeling benchmark. Comput. Geosci. (2020). https://doi.org/10.1007/s10596-020-09988-9
Wanner, C., Druhan, J.L., Amos, R.T., Alt-Epping, P., Steefel, C.I.: Benchmarking the simulation of Cr isotope fractionation. Comput. Geosci. 19(3), 497–521 (2015). https://doi.org/10.1007/s10596-014-9436-9
Druhan, J.L., Guillon, S., Lincker, M., Arora, B.: Stable and radioactive carbon isotope partitioning in soils and saturated systems: a reactive transport modeling benchmark study. Comput. Geosci. (2020). https://doi.org/10.1007/s10596-020-09937-6
Águila, J.F., Montoya, V., Samper, J., Montenegro, L., Kosakowski, G., Krejci, P., Pfingsten, W.: Modeling cesium migration through Opalinus clay: a benchmark for single- and multi-species sorption-diffusion models. Comput. Geosci. (2021). https://doi.org/10.1007/s10596-021-10050-5
Leal, A.M.M., Kyas, S., Kulik, D.A., Saar, M.O.: Accelerating reactive transport modeling: on-demand machine learning algorithm for chemical equilibrium calculations. Transp. Porous Media. 133(2), 161–204 (2020). https://doi.org/10.1007/s11242-020-01412-1
Laloy, E., Jacques, D.: Emulation of CPU-demanding reactive transport models: a comparison of Gaussian processes, polynomial chaos expansion, and deep neural networks. Comput. Geosci. 23(5), 1193–1215 (2019). https://doi.org/10.1007/s10596-019-09875-y
Prasianakis, N.I., Haller, R., Mahrous, M., Poonoosamy, J., Pfingsten, W., Churakov, S.V.: Neural network based process coupling and parameter upscaling in reactive transport simulations. Geochim Cosmochim Ac. 291, 126–143 (2020). https://doi.org/10.1016/j.gca.2020.07.019
Sin, I., Corvisier, J.: Multiphase multicomponent reactive transport and flow modeling. Rev. Mineral. Geochem. 85(1), 143–195 (2019). https://doi.org/10.2138/rmg.2019.85.6
Acknowledgments
The authors would like to acknowledge the funding of the Agence Nationale de la Recherche (ANR) under Contract No. ANR-18-CE05-0035-01, the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 847593 and the Andra (the French waste management agency) under the CEA/ANDRA collaborative agreement n°CHR.
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Bildstein, O., Claret, F. & Lagneau, V. Guest editorial to the special issue: subsurface environmental simulation benchmarks. Comput Geosci 25, 1281–1283 (2021). https://doi.org/10.1007/s10596-021-10069-8
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DOI: https://doi.org/10.1007/s10596-021-10069-8