A robust mesh optimisation method for multiphase porous media flows
TL;DR: A methodology is presented here to modify the mesh within the non-linear solver, which allows efficient application of dynamic mesh adaptivity techniques even with high Courant numbers.
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Abstract: Flows of multiple fluid phases are common in many subsurface reservoirs. Numerical simulation of these flows can be challenging and computationally expensive. Dynamic adaptive mesh optimisation and related approaches, such as adaptive grid refinement can increase solution accuracy at reduced computational cost. However, in models or parts of the model domain, where the local Courant number is large, the solution may propagate beyond the region in which the mesh is refined, resulting in reduced solution accuracy, which can never be recovered. A methodology is presented here to modify the mesh within the non-linear solver. The method allows efficient application of dynamic mesh adaptivity techniques even with high Courant numbers. These high Courant numbers may not be desired but a consequence of the heterogeneity of the domain. Therefore, the method presented can be considered as a more robust and accurate version of the standard dynamic mesh adaptivity techniques.
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Citations
Simulating the Cranfield Geological Carbon Sequestration Project with High-Resolution Static Models and an Accurate Equation of State
Mohamad Reza Soltanian,Mohammad Amin Amooie,David R. Cole,David E. Graham,Seyyed A. Hosseini,Susan D. Hovorka,Susan M. Pfiffner,Tommy J. Phelps,Joachim Moortgat +8 more
- 01 Dec 2016
TL;DR: In this paper, a field-scale CO2 injection pilot project was conducted as part of the Southeast Regional Sequestration Partnership (SECARB) at Cranfield, Mississippi, where higher-order finite element simulations of the compositional two-phase CO2-brine flow and transport during the experiment were presented.
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Dynamic adaptive mesh optimisation for immiscible viscous fingering
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Modelling of 3D viscous fingering: Influence of the mesh on coreflood experiments
TL;DR: In this article, a 3D coreflood experiments found in the literature were simulated with CFD, and nine different structured and unstructured meshes were compared to determine which one gives the best description of this phenomenon.
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Is Cell-to-Cell Scale Variability Necessary in Reservoir Models?
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TL;DR: In this paper , the authors used dynamic mesh optimization (DMO) in a parallel computational framework to simulate SI with higher accuracy and lower computational cost compared to fixed-mesh approaches.
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