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https://dx.doi.org/10.11575/pr...
Master thesis . 2019
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Pore Level Modeling of Immiscible Displacements in Heterogeneous Media

Authors: Flores de Dios Mosqueda, Tania;

Pore Level Modeling of Immiscible Displacements in Heterogeneous Media

Abstract

In the petroleum industry, Reservoir Simulation plays an important role to forecast production behaviour. In this field it is essential to know the reservoir production performance under different types of exploitation. This is a key in choosing the accurate production process for a reservoir. To aim this, the main tool used for a reservoir engineer is reservoir simulation. Nowadays reservoir simulations still have some gaps such as the simulation at different scales. Commercial simulators cannot reproduce precisely the reservoir behaviour and the physics at the microscopic scale. If a reservoir simulator could be able to replicate pore scale events, they could have a more realistic representation of the reservoir physics. This thesis tries to emulate drainage in three different 2-D heterogeneous porous media patterns with a porous plate at the production end, which restricts oil flow, but it conducts water; water being the wetting fluid and oil the non-wetting fluid. The porous medium was inserted in an open source software for computational fluid dynamics (CFD) called OpenFOAM capable of making simulations on a micro scale and capable of reproducing pore events such as snap-off, Haines-jumps, disconnected ganglia of oil and the simultaneous filling of neighboring pores. In this thesis, graphs of the variation in fluid saturations versus time are presented in order to compare drainage process in different porous media.

Country
Canada
Related Organizations
Keywords

Psychology--Experimental, reservoir Simulation pore scale pore scale events drainage, Engineering--Petroleum

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Green