Modelling of continuous surfactant flooding application for marginal oilfields: A case study of Bentiu reservoir

• Main Authors: Abbas, Azza Hashim, Elhag, Hani Hago, Wan Sulaiman, Wan Rosli, Gbadamosi, Afeez, Pourafshary, Peyman, Ebrahimi, Shirin Shafiei, Alqohaly, Osamah Yahya, Agi, Augustine
• Format: Article
• Language: English
• Published: Springer Science and Business Media Deutschland GmbH 2021
• Subjects: TP Chemical technology
• Online Access: http://eprints.utm.my/id/eprint/97873/1/WanRosli2021_ModellingOfContinuousSurfactantFloodingApplication.pdf; http://eprints.utm.my/id/eprint/97873/; http://dx.doi.org/10.1007/s13202-020-01077-y

Enhanced oil recovery (EOR) is a proven method to increase oil production from the brown fields. One of the efficient EOR methods is injecting surfactants to release the trapped oil. However, few unconsolidated behaviours were observed in both field and laboratory practice. In this study, a new framework was adapted to evaluate the continuous surfactant flooding (CSF) in Bentiu reservoir. The study aims to quantify the expected range of the oil production, recovery factor and residual oil saturation (Sor). The motivation came from the oil demand in Sudan and the insufficient cores. The framework adopted in the study includes numerical simulation modelling and proxy modelling. Thirty-six cores obtained from the field were revised and grouped into five main groups. The interfacial tension (IFT) data were obtained experimentally. The CSF sensitivity study was developed by combining different experimental design sets to generate the proxy model. The CSF numerical simulation results showed around 30% additional oil recovery compared to waterflooding and approximately oil production between (20–30) cm3. The generated proxy model extrapolated the results with concerning lower ranges of the input and showed an average P50 of oil production and recovery of 74% and 17 cm3, respectively. Overall, the performance of CSF remained beneficial in vast range of input. Moreover, the generated proxy model gave an insight on the complexity of the interrelationship between the input factors and the observants with a qualitative prospective factors. Yet, the results confirmed the applicability of CSF in core scale with an insight for field scale application.