2014
DOI: 10.1016/j.advwatres.2014.07.005
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Results of the MoMaS benchmark for gas phase appearance and disappearance using generalized MHFE

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Cited by 7 publications
(16 citation statements)
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“…In the first case, a simple benchmark case was proposed by GNR MoMaS (Bourgeat et al 2009). We simulated the same H 2 injection process with the extended OpenGeoSys code , and compared our results against those from other code (Marchand and Knabner 2014). For the non-isothermal case, there exists no analytical solution, which explicitly involves the phase transition phenomenon.…”
Section: Resultsmentioning
confidence: 96%
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“…In the first case, a simple benchmark case was proposed by GNR MoMaS (Bourgeat et al 2009). We simulated the same H 2 injection process with the extended OpenGeoSys code , and compared our results against those from other code (Marchand and Knabner 2014). For the non-isothermal case, there exists no analytical solution, which explicitly involves the phase transition phenomenon.…”
Section: Resultsmentioning
confidence: 96%
“…Since the negative value of X would cause failures of further iteration, it is necessary to force the non-negativity constraint on X. To achieve this, a widely used method is extending the definition of the physical variables such as N G , N L for X < 0, as was done in (Marchand et al 2013), (Marchand and Knabner (2014), and (Abadpour and Panfilov 2009). In our implementation, we chose an alternative and more straightforward method, which is adding a damping factor in each global Newton iteration when updating the unknown vector.…”
Section: Handling Unphysical Values During the Global Iterationmentioning
confidence: 98%
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“…Reactive transport modeling in subsurface hydrology has never been fully coupled with equilibrium phase behavior of complex hydrocarbon mixtures in highly heterogeneous formations, despite some recent attempts (Flemisch et al, 2011). Due to the emerging interest in complicated subsurface dynamic processes like CO2 sequestration, methane hydrate recovery, and geothermal processes, there is a growing need in integrating full chemical reaction modeling capabilities with compositional reservoir simulation (Marchand and Knabner, 2014;Farshidi, 2016). Any heterogeneous structure of subsurface formations and the multiple scales of governing processes requires implicit time approximation for numerical solutions to be unconditionally stable on simulation time-steps appropriate for the problem of interest.…”
Section: Background and Motivationmentioning
confidence: 99%