Simulation-Based Optimization of Microbial Enhanced Oil Recovery with a Model Integrating Temperature, Pressure, and Salinity Effects

Moon Sik Jeong, Young Woo Lee, Hye Seung Lee and Kun Sang Lee
Additional contact information
Moon Sik Jeong: Department of Earth Resources and Environmental Engineering, Hanyang University, 22 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea
Young Woo Lee: Department of Earth Resources and Environmental Engineering, Hanyang University, 22 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea
Hye Seung Lee: Department of Earth Resources and Environmental Engineering, Hanyang University, 22 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea
Kun Sang Lee: Department of Earth Resources and Environmental Engineering, Hanyang University, 22 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea

Energies, 2021, vol. 14, issue 4, 1-20

Abstract: The microbial enhanced oil recovery (MEOR) method is an eco-friendly and economical alternative technology. The technology involves a variety of uncertainties, and its success depends on controlling microbial growth and metabolism. Though a few numerical studies have been carried out to reduce the uncertainties, no attempt has been made to consider temperature, pressure, and salinity in an integrated manner. In this study, a new modeling method incorporating these environmental impacts was proposed, and MEOR analysis was performed. As a result, accurate modeling was possible to prevent overestimating the performance of MEOR. In addition, oil recovery was maximized through sensitivity analysis and optimization based on an integrative model. Finally, applying MEOR to an actual reservoir model showed a 7% increase in oil recovery compared to waterflooding. This result proved the practical applicability of the method.

Keywords: microbial enhanced oil recovery (MEOR); microbial kinetics; temperature; pressure; salinity; selective plugging; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/4/1131/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/4/1131/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:4:p:1131-:d:502995

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().