Next Article in Journal
Early Fault Detection of Wind Turbines Based on Operational Condition Clustering and Optimized Deep Belief Network Modeling
Previous Article in Journal
Monitoring Wind Turbine Gearbox with Echo State Network Modeling and Dynamic Threshold Using SCADA Vibration Data
Previous Article in Special Issue
Embedded Discrete Fracture Modeling as a Method to Upscale Permeability for Fractured Reservoirs
Article Menu
Issue 6 (March-2) cover image

Export Article

Open AccessArticle
Energies 2019, 12(6), 983; https://doi.org/10.3390/en12060983

Simulation of Surfactant Oil Recovery Processes and the Role of Phase Behaviour Parameters

*,†,‡
and
†,‡
Department of Chemical Engineering, ENTEG, University of Groningen, 9700 AB Groningen, The Netherlands
*
Author to whom correspondence should be addressed.
Current address: Nijenborgh 4, 9747 AG Groningen, The Netherlands.
These authors contributed equally to this work.
Received: 28 January 2019 / Revised: 5 March 2019 / Accepted: 8 March 2019 / Published: 13 March 2019
(This article belongs to the Special Issue Enhanced Oil Recovery 2019)
Full-Text   |   PDF [17912 KB, uploaded 15 March 2019]   |  

Abstract

Chemical Enhanced Oil Recovery (cEOR) processes comprise a number of techniques which modify the rock/fluid properties in order to mobilize the remaining oil. Among these, surfactant flooding is one of the most used and well-known processes; it is mainly used to decrease the interfacial energy between the phases and thus lowering the residual oil saturation. A novel two-dimensional flooding simulator is presented for a four-component (water, petroleum, surfactant, salt), two-phase (aqueous, oleous) model in porous media. The system is then solved using a second-order finite difference method with the IMPEC (IMplicit Pressure and Explicit Concentration) scheme. The oil recovery efficiency evidenced a strong dependency on the chemical component properties and its phase behaviour. In order to accurately model the latter, the simulator uses and improves a simplified ternary diagram, introducing the dependence of the partition coefficient on the salt concentration. Results showed that the surfactant partitioning between the phases is the most important parameter during the EOR process. Moreover, the presence of salt affects this partitioning coefficient, modifying considerably the sweeping efficiency. Therefore, the control of the salinity in the injection water is deemed fundamental for the success of EOR operations with surfactants. View Full-Text
Keywords: Enhanced Oil Recovery; surfactant; phase behaviour; reservoir simulation; Total Variation Diminishing Enhanced Oil Recovery; surfactant; phase behaviour; reservoir simulation; Total Variation Diminishing
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Druetta, P.; Picchioni, F. Simulation of Surfactant Oil Recovery Processes and the Role of Phase Behaviour Parameters. Energies 2019, 12, 983.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top