J
Jan Martin Nordbotten
Researcher at University of Bergen
Publications - 249
Citations - 8373
Jan Martin Nordbotten is an academic researcher from University of Bergen. The author has contributed to research in topics: Discretization & Porous medium. The author has an hindex of 45, co-authored 233 publications receiving 7363 citations. Previous affiliations of Jan Martin Nordbotten include Lawrence Berkeley National Laboratory & Princeton University.
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Injection and Storage of CO2 in Deep Saline Aquifers: Analytical Solution for CO2 Plume Evolution During Injection
TL;DR: In this paper, an analytical solution is derived to describe the space-time evolution of the CO2 plume, using arguments of energy minimization, and reduces to a simple radial form of the Buckley-Leverett solution for conditions of viscous domination.
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A benchmark study on problems related to CO2 storage in geologic formations
Holger Class,Anozie Ebigbo,Rainer Helmig,Helge K. Dahle,Jan Martin Nordbotten,Jan Martin Nordbotten,Michael A. Celia,Pascal Audigane,Melanie Darcis,Jonathan Ennis-King,Yaqing Fan,Bernd Flemisch,Sarah E. Gasda,Min Jin,Stefanie Krug,Diane Labregere,Ali Naderi Beni,Rajesh J. Pawar,Adil Sbai,Sunil G. Thomas,Laurent Trenty,Lingli Wei +21 more
TL;DR: This paper summarises the results of a benchmark study that compares a number of mathematical and numerical models applied to specific problems in the context of carbon dioxide (CO2) storage in geologic formations.
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Semianalytical Solution for CO2 Leakage through an Abandoned Well
TL;DR: A new semianalytical solution framework allows simple and efficient prediction of leakage rates for the case of injection of supercritical CO2 into a brine-saturated deep aquifer and estimates the CO2 plume extent in the overlying aquifer into which the fluid leaks.
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Similarity solutions for fluid injection into confined aquifers
TL;DR: In this paper, the utility of carbon dioxide (CO injection into deep saline aquifers) was evaluated using full numerical simulations, and the results showed the ability to predict the system behavior.
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An efficient multi-point flux approximation method for Discrete Fracture-Matrix simulations
TL;DR: This work considers a control volume discretization with a multi-point flux approximation to model Discrete Fracture-Matrix systems for anisotropic and fractured porous media in two and three spatial dimensions and explicitly account for the fractures by representing them as hybrid cells between the matrix cells.