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Title: Simplifying reservoir models by flow regime
Author: Rashid, Bilal
ISNI:       0000 0004 2737 0298
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2013
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This study focuses on the interaction between geological heterogeneity and the reservoir processes which govern fluid flow in porous media. We have developed and tested a measure of heterogeneity which uses the coefficient of variation of the vorticity of the flow field to quantify the impact of geological uncertainty on oil recovery. We go on to explore the vorticity formulation of the equations of motion in porous media as a basis for understanding reservoir dynamics, particularly in the presence of heterogeneity and density differences. We derive dimensionless numbers to quantify the relative importance of viscosity and density differences, molecular diffusion, dispersion, and permeability heterogeneity on reservoir flow behaviour. This approach is used to develop an objective measure of the impact of permeability heterogeneity on reservoir performance, which we have compared with traditional heterogeneity indices and shown how it may be used for realistic 2D and 3D geological models. We have used our heterogeneity index, and the dimensionless numbers to analyse the impact of heterogeneity, buoyancy effects, mobility ratio and dispersion on breakthrough time and recovery for first contact miscible gas injection processes using geologically realistic reservoir models. We find that the new heterogeneity number, in conjunction with these dimensionless numbers, provides meaningful results for real non-linear reservoir flows. We present phase diagrams which show how reservoir performance depends on mobility ratio, viscous-gravity ratio, and heterogeneity. We have proposed that the phase diagram, and a comparison of these dimensionless numbers can be used to identify the key factors which control recovery, thus assisting the engineer in determining appropriate enhanced oil recovery (EOR) techniques, without resort to detailed flow simulation. This will enable a quick, and more robust, evaluation of the impact of geological uncertainty in the field.
Supervisor: Muggeridge, Ann Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral