Fully-implicit simulation of vertical-equilibrium models with hysteresis and capillary fringe
TL;DR: A hierarchy of models of increasing computational complexity for analysis and simulation of large-scale CO2 storage has been implemented as a separate module of the open-source Matlab Reservoir Simulation Toolbox (MRST).
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Abstract: Geological carbon storage represents a new and substantial challenge for the subsurface geosciences. To increase understanding and make good engineering decisions, containment processes and large-scale storage operations must be simulated in a thousand year perspective. A hierarchy of models of increasing computational complexity for analysis and simulation of large-scale CO2 storage has been implemented as a separate module of the open-source Matlab Reservoir Simulation Toolbox (MRST). This paper describes a general family of two-scale models available in this module. The models consist of two-dimensional flow equations formulated in terms of effective quantities obtained from hydrostatic reconstructions of vertical pressure and saturation distributions. The corresponding formulation is fully implicit and is the first to give a mass-conservative treatment and include general (non-linearized) CO2 properties. In particular, the models account for compressibility, dissolution, and hysteresis effects in the fine-scale capillary and relative permeability functions and can be used to accurately and efficiently study the combined large-scale and long-term effects of structural, residual, and solubility trapping.
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Citations
An Introduction to Reservoir Simulation Using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST)
Knut-Andreas Lie
- 21 Jul 2019
TL;DR: This book provides a self-contained introduction to the simulation of flow and transport in porous media, written by a developer of numerical methods, and will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods.
450
MRST-AD - an Open-Source Framework for Rapid Prototyping and Evaluation of Reservoir Simulation Problems
Stein Krogstad,Knut-Andreas Lie,Olav Møyner,Halvor Møll Nilsen,Xavier Raynaud,Bård Skaflestad +5 more
- 23 Feb 2015
TL;DR: MRST-AD is presented, a free, open-source framework written as part of the Matlab Reservoir Simulation Toolbox and designed to provide researchers with the means for rapid prototyping and experimentation for problems in reservoir simulation.
172
Analysis of CO2 trapping capacities and long-term migration for geological formations in the Norwegian North Sea using MRST-co2lab
TL;DR: How data resolution affects estimates of storage capacity and workflows for identifying good injection sites and optimizing injection strategies are investigated, and open-source tools for estimating CO2 storage potential in saline aquifers are outlined.
61
Robust simulation of sharp-interface models for fast estimation of CO2 trapping capacity in large-scale aquifer systems
TL;DR: In this article, a family of vertically integrated models for studying the combined large-scale and long-term effects of structural, residual, and solubility trapping of CO2 is presented.
A simulation workflow for large-scale CO2 storage in the Norwegian North Sea
TL;DR: In this paper, the authors present a tool-chain for investigating CO2 storage on a scale that would have significant impact on European CO2 emissions, including structural traps, percolation-type methods for identifying potential spill paths, and vertical-equilibrium methods that can efficiently simulate structural, residual, and solubility trapping in a thousand-year perspective.
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A New Equation of State for Carbon Dioxide Covering the Fluid Region from the Triple‐Point Temperature to 1100 K at Pressures up to 800 MPa
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Impact of relative permeability hysteresis on geological CO2 storage
TL;DR: In this article, the importance of accounting for CO2 trapping in the relative permeability model for predicting the distribution and mobility of CO2 in the formation has been evaluated, and it is shown that the mechanism of capillary trapping can be exploited to improve the overall effectiveness of the injection project.
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