Technical Papers
Jul 24, 2023

Numerical Investigations of Low-Salinity Water Flooding in a Saline Sandstone Reservoir

Publication: Journal of Energy Engineering
Volume 149, Issue 5

Abstract

In the era of dominance of renewable energies and the pandemic-affected world, oil industries must produce oil from extant fields most economically. Further, increasing ecological awareness makes oil companies look forward to cost-effective, eco-friendly and efficient enhanced oil recovery (EOR) techniques like low-salinity water flooding (LSWF). The mechanism behind LSWF in the augmentation of oil recovery has been a prominent research area. The present study gives more profound insights into the impact of divalent cations (Ca2+ and Mg2+) on LSWF in clayey sandstones by considering the multi-ion exchange (MIE) mechanism. The developed mathematical model consists of a fluid transport model, an ion transport module incorporating MIE, and a model for the weighing factor to interpolate between low-saline and high-saline states. The present model was validated and verified with analytical solutions and experimental results in the literature. In this study, the dilution of the Ca2+ ion concentration by a factor of 10 and 100 times of formation water in injection water led to an enhancement in desorption of Ca2+ ions and a relative increase in oil recovery by 9.61% and 12.33%, respectively. Further, the dilution of both Mg2+ and Ca2+ ions by 100 times led to the highest relative oil recovery of 13.22%. This study also provides fundamental insights into the microscopic displacement efficiency and fractional flow curves in the LSWF, which is a novel attempt. Moreover, this work helps in quantifying oil recovery in clayey sandstone reservoirs and also assists in selecting suitable reservoir candidates for LSWF.

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Data Availability Statement

All data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.

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Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 149Issue 5October 2023

History

Received: Nov 28, 2022
Accepted: May 22, 2023
Published online: Jul 24, 2023
Published in print: Oct 1, 2023
Discussion open until: Dec 24, 2023

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Ph.D. Candidate, Reservoir Simulation Laboratory, Dept. of Ocean Engineering, Indian Institute of Technology (IIT) Madras, Chennai, Tamil Nadu 600036, India (corresponding author). ORCID: https://orcid.org/0000-0001-8988-2828. Email: [email protected]
Professor (HAG), Reservoir Simulation Laboratory, Dept. of Ocean Engineering, Indian Institute of Technology (IIT) Madras, Chennai, Tamil Nadu 600036, India. ORCID: https://orcid.org/0000-0003-3833-5482. Email: [email protected]

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