Imperial College London
Alternate

ProfessorPeterKing

Faculty of Engineering, Department of Earth Science & Engineering

Chair in Porous Media Physics
 
 
 
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Contact

 

+44 (0)20 7594 7362peter.king

 
 
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Location

 

1.40Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Ladipo:2020:10.3997/2214-4609.202035035,
author = {Ladipo, L and Blunt, M and King, P},
doi = {10.3997/2214-4609.202035035},
title = {Optimizing low salinity waterflooding with controlled numerical influence of physical mixing considering uncertainty},
url = {http://dx.doi.org/10.3997/2214-4609.202035035},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Controlled/Low Salinity Waterflooding (LSWF) is an augmented waterflood with well-reported improved displacement efficiency compared with conventional waterfloods. Physical mixing or dispersion of the injected low-salinity (LS) brine with the formation high-salinity (HS) brine substantially reduces the low-salinity effect. Numerical dispersion often misrepresents this mixing in conventional LSWF-simulations, causing errors in the results. Uncertainty in the reservoir description further makes the evaluated performance questionable. Existing studies have suggested optimal amounts for the injected LS-brine to sustain its displacement stability during interwell flows with physical mixing, but with poor or no consideration of uncertainty. This work focuses on optimizing the injected LS-brine amount considering reported flow uncertainties while ensuring adequate correction of the erroneous influence of numerical dispersion on physical mixing. We investigate the impacts of flow uncertainties on the optimal LS slug-size. The sensitivity of the optimal slug-size to heterogeneity is examined under uncertainty. We evaluate how the interaction between physical mixing and geological heterogeneity influences slug integrity and performance. We propose an improved 'effective salinities' concept to evaluate appropriate effective salinities to characterize the desired representative physical mixing supressing the large numerical dispersion effects usually encountered in coarse-grid LSWF-simulations. This ensures reliable representation of physical dispersion in such grids. We consider different models with characterized levels of heterogeneity and essential variables that control the impact of mixing on LSWF performance based mainly on reported data. New indicators are defined to evaluate the displacement stability and performance of injected LS-brine thereby relating its technical and economic performance. Slug performance is evaluated at different injection times to examine the se
AU  - Ladipo,L
AU  - Blunt,M
AU  - King,P
DO  - 10.3997/2214-4609.202035035
PY  - 2020///
TI  - Optimizing low salinity waterflooding with controlled numerical influence of physical mixing considering uncertainty
UR  - http://dx.doi.org/10.3997/2214-4609.202035035
ER  -
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