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Numerical Benchmark Studies on Flow and Solute Transport in Geological Reservoirs

Karmakar, Shyamal (author)
Georg August Univ Gottingen, Geosci Ctr, Dept Appl Geol, Goldschmidtstr 3, D-37077 Gottingen, Germany.;Univ Chittagong, Inst Forestry & Environm Sci, Environm Sci, Chattogram 4331, Bangladesh.
Tatomir, Alexandru (author)
Uppsala universitet,Luft-, vatten- och landskapslära,Georg August Univ Gottingen, Geosci Ctr, Dept Appl Geol, Goldschmidtstr 3, D-37077 Gottingen, Germany.
Oehlmann, Sandra (author)
Georg August Univ Gottingen, Geosci Ctr, Dept Appl Geol, Goldschmidtstr 3, D-37077 Gottingen, Germany.
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Giese, Markus, 1985 (author)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences
Sauter, Martin (author)
Georg August Univ Gottingen, Geosci Ctr, Dept Appl Geol, Goldschmidtstr 3, D-37077 Gottingen, Germany.
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Georg August Univ Gottingen, Geosci Ctr, Dept Appl Geol, Goldschmidtstr 3, D-37077 Gottingen, Germany;Univ Chittagong, Inst Forestry & Environm Sci, Environm Sci, Chattogram 4331, Bangladesh. Luft-, vatten- och landskapslära (creator_code:org_t)
2022-04-17
2022
English.
In: Water. - : MDPI AG. - 2073-4441. ; 14:8
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Predicting and characterising groundwater flow and solute transport in engineering and hydrogeological applications, such as dimensioning tracer experiments, rely primarily on numerical modelling techniques. During software selection for numerical modelling, the accuracy of the results, financial costs of the simulation software, and computational resources should be considered. This study evaluates numerical modelling approaches and outlines the advantages and disadvantages of several simulators in terms of predictability, temporal control, and computational efficiency conducted in a single user and single computational resource set-up. A set of well-established flow and transport modelling simulators, such as MODFLOW/MT3DMS, FEFLOW, COMSOL Multiphysics, and DuMu(X) were tested and compared. These numerical simulators are based on three numerical discretisation schemes, i.e., finite difference (FD), finite element (FE), and finite volume (FV). The influence of dispersivity, potentially an artefact of numerical modelling (numerical dispersion), was investigated in parametric studies, and results are compared with analytical solutions. At the same time, relative errors were assessed for a complex field scale example. This comparative study reveals that the FE-based simulators COMSOL and FEFLOW show higher accuracy for a specific range of dispersivities under forced gradient conditions than DuMu(X) and MODFLOW/MT3DMS. FEFLOW performs better than COMSOL in regard to computational time both in single-core and multi-core computing. Overall computational time is lowest for the FD-based simulator MODFLOW/MT3DMS while the number of mesh elements is low (here < 12,800 elements). However, for finer discretisation, FE software FEFLOW performs faster.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)

Keyword

tracer transport
numerical modelling
numerical dispersion
numerical efficiency
parallel computing
tracer transport; numerical modelling; numerical dispersion; numerical efficiency; parallel computing

Publication and Content Type

ref (subject category)
art (subject category)

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