Reservoir simulation with the cubic plus (cross-) association equation of state for water, CO2, hydrocarbons, and tracers

Moortgat, Joachim

doi:10.1016/j.advwatres.2018.02.004

Cited by 7 publications

(1 citation statement)

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“…Further efficiency gains may be achieved by not updating the geochemistry in grid cells where concentrations have not changed after a transport update (e.g., far away from an invading fluid front). The latter approach is also used successfully in avoiding costly phase-split computations in multiphase multicomponent flow problems 57 .…”

Section: Discussionmentioning

confidence: 99%

A higher-order finite element reactive transport model for unstructured and fractured grids

Moortgat

Amooie

et al. 2020

Sci Rep

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This work presents a new reactive transport framework that combines a powerful geochemistry engine with advanced numerical methods for flow and transport in subsurface fractured porous media. Specifically, the PhreeqcRM interface (developed by the USGS) is used to take advantage of a large library of equilibrium and kinetic aqueous and fluid-rock reactions, which has been validated by numerous experiments and benchmark studies. Fluid flow is modeled by the Mixed Hybrid Finite Element (FE) method, which provides smooth velocity fields even in highly heterogenous formations with discrete fractures. A multilinear Discontinuous Galerkin FE method is used to solve the multicomponent transport problem. This method is locally mass conserving and its second order convergence significantly reduces numerical dispersion. In terms of thermodynamics, the aqueous phase is considered as a compressible fluid and its properties are derived from a Cubic Plus Association (CPA) equation of state. The new simulator is validated against several benchmark problems (involving, e.g., Fickian and Nernst-Planck diffusion, isotope fractionation, advection-dispersion transport, and rock-fluid reactions) before demonstrating the expanded capabilities offered by the underlying FE foundation, such as high computational efficiency, parallelizability, low numerical dispersion, unstructured 3D gridding, and discrete fraction modeling.

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Section: Discussionmentioning

confidence: 99%