2010
DOI: 10.1007/s10596-010-9178-2
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Comparison of numerical methods for simulating strongly nonlinear and heterogeneous reactive transport problems—the MoMaS benchmark case

Abstract: Although multicomponent reactive transport modeling is gaining wider application in various geoscience fields, it continues to present significant mathematical and computational challenges. There is a need to solve and compare the solutions to complex benchmark problems, using a variety of codes, because such intercomparisons can reveal promising numerical solution approaches and increase confidence in the application of reactive transport codes. In this contribution, the results and performance of five curren… Show more

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Cited by 58 publications
(58 citation statements)
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“…The mechanical dispersion coefficient (D mech ) scales with soil moisture (θ) according to : D mech ¼ αq θ , where α is dispersivity and q is the Darcy flux. The MIN3P code, including the radial formulation, has been thoroughly tested and benchmarked (Carrayrou et al 2010;Mayer and MacQuarrie 2010;Marty et al 2015;Rasouli et al 2015;Steefel et al 2015).…”
Section: Modeling Approachmentioning
confidence: 99%
“…The mechanical dispersion coefficient (D mech ) scales with soil moisture (θ) according to : D mech ¼ αq θ , where α is dispersivity and q is the Darcy flux. The MIN3P code, including the radial formulation, has been thoroughly tested and benchmarked (Carrayrou et al 2010;Mayer and MacQuarrie 2010;Marty et al 2015;Rasouli et al 2015;Steefel et al 2015).…”
Section: Modeling Approachmentioning
confidence: 99%
“…In 2006, the MoMaS research group proposed a suite of exercises to test reactive transport models [1][2][3] 1 . The major objective of the benchmark is to provide more efficient numerical methods and mathematical resolution schemes in order to improve reactive transport models, in particular for applications in the domain of deep underground radioactive waste disposal.…”
Section: The Reactive Transport Benchmark Momasmentioning
confidence: 99%
“…For simulations involving porosity evolution, this is only possible for problems with a limited set of reactions and subject to simplifying assumptions [8][9][10]. However, considering the complex nature of realistic reactive transport problems, model verification by means of code intercomparisons through well-defined benchmarks is in many cases the only practical method [11]. This paper presents and analyzes the results of an intercomparison involving five reactive transport codes (i.e., CrunchFlow, HP1, MIN3P, PFlotran, and TOUGHRE-ACT) used for the investigation of six hypothetical scenarios to evaluate formulations and implementations for permeability-porosity and tortuosity-porosity relationships.…”
Section: Introductionmentioning
confidence: 99%