Evaluating Chemical Stability Challenges in Surfactant Eor for High-Temperature, High-Salinity Reservoir: the Volve Field
DOI:
https://doi.org/10.25299/jgeet.2026.11.1.25700Keywords:
Surfactan, Recovery Factor, EOR, Volve Field, tNavigatorAbstract
This study evaluates the influence of surfactant concentration on oil recovery performance under high-temperature and high-salinity reservoir conditions in the volve field using numerical simulations. Several surfactant concentration scenarios were applied to analyze production response and recovery factor behavior. The result indicate that increasing surfactant concentration only slightly improves oil recovery, with recovery factor remaining within a narrow range from 19.82% to 19.93% across all scenarios. Limited performance is associated with thermal degradation, adsorption, salinity effects, and reduced interfacial tension efficiency under harsh reservoir conditions. This study is limited to numerical simulation and requires laboratory validation to confirm surfactant chemical behavior under actual reservoir conditions. Therefore, future research should prioritize laboratory evaluation of thermally stable surfactants before filed scale implementation.
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Ahmed Al-Husseini, * and Sameera Hamd-Allah 1. (2023). History Matching of Reservoir Simulation Model: a Case Study from the Mishrif Reservoir, Buzurgan Oilfield, Iraq Ahmed. 56, 215–234.
Alisheva, Z., Nadirov, K., Al-Dujaili, A. N., Bimbetova, G., Nadirova, Z., Zhantasov, M., Tileuberdi, N., & Dauletuly, A. (2025). Integrated Strategies for Controlling Water Cut in Mature Oil Fields in Kazakhstan. Polymers, 17(7).
Alli, Y. F., & Tobing, E. M. (2018). Effect of Optimum Salinity?on Microemulsion Formation To Attain Ultralow Interfacial Tension for Chemical Flooding Application. Scientific Contributions Oil and Gas, 39(2), 63–69.
Alyousef, M. H., Kamal, M. S., Murtaza, M., Muhammad, S., Hussain, S., Raza, A., Patil, S., & Mahmoud, M. (2024). Enhancing Aqueous Stability of Anionic Surfactants in High Salinity and Temperature Conditions with SiO 2 Nanoparticles.
Bashir, A., Shari, A., & Rafati, R. (2022). A review of fl uid displacement mechanisms in surfactant-based chemical enhanced oil recovery processes : Analyses of key in fl uencing factors. 19.
Bukhtoyarov, V. V, Wu, X., Tyncheko, Y. A., & Kukartsev, V. A. (2023). Conventional and Unconventional Reservoirs.
Curbelo, F. D. S., Garnica, A. I. C., Leite, D. F. Q., Carvalho, A. B., Silva, R. R., & Paiva, E. M. (2020). Study of Enhanced Oil Recovery and Adsorption Using Glycerol in Surfactant Solution.
Druetta, P., & Picchioni, F. (2020). Surfactant flooding : The influence of the physical properties on the recovery efficiency. Petroleum, 6(2), 149–162.
Erfando, T., Rita, N., & Ramadhan, R. (2019). The Key Parameter Effect Analysis of The Polymer Flooding on Oil Recovery Using Reservoir Simulation. 04(01), 49–55.
Farania, Y., Husni, M., & Lubis, M. (2026). 4D Seismic Analysis of Hydrocarbon Reservoir at Hugin Formation, Volve Field, North Sea. 10(04), 79–88.
Geng, X., Ding, B., Guan, B., Sun, H., Zan, J., Qu, M., & Liang, T. (2024). New Insight of Nanosheet Enhanced Oil Recovery Modeling : Structural Disjoining Pressure and Profile Control Technique Simulation.
Guo, Y., Zhang, L., Zhu, G., Yao, J., Sun, H., Song, W., Yang, Y., & Zhao, J. (2019). A pore-scale investigation of residual oil distributions and enhanced oil recovery methods. Energies, 12(19).
Haghighi, O. M. (2021). Effect of environment-friendly non-ionic surfactant on interfacial tension reduction and wettability alteration ; Implications for enhanced oil recovery. 13(2020).
He, H., Chen, Y., Yu, Q., Wen, X., & Liu, H. (2019). Optimization design of injection strategy for surfactant-polymer flooding process in heterogeneous reservoir under low oil prices. Energies, 12(19), 1–15.
Hou, J., Huang, T., Alotaibi, M., & Alsofi, A. (2024). Long-Term Thermal Stability of Ionic Surfactants for Improving Oil Production at High-Salinity High-Temperature Conditions.
Hu Yin, Gaorun Zhong, J. L. and Y. W. (2024). Quantitative Characterization of Surfactant Displacement Efficiency by NMR — Take the Tight Oil of Chang 8 Member of.
Jannoke, L., & Syaifullah, M. R. (2025). Sensitivity Test Analysis Using Reservoir Simulation on Surfactant- Polymer Injection with Core Modeling. 10(04), 103–111.
Lu, H., Tang, H., Wang, M., Li, X., Zhang, L., Wang, Q., Zhao, Y., Zhao, F., & Liao, J. (2021). Pore Structure Characteristics and Permeability Prediction Model in a Cretaceous Carbonate Reservoir, North Persian Gulf Basin. Geofluids, 2021.
Luo, S., & Su, H. (2022). Study on the Production Decline Characteristics of Shale Oil: Case Study of Jimusar Field. Frontiers in Energy Research, 10(May), 1–13.
Massarweh, O., & Abushaikha, A. S. (2020). The use of surfactants in enhanced oil recovery : A review of recent advances. Energy Reports, 6, 3150–3178.
Mousa, S., Saeid, S., & Meisam, J. (2021). Simulation of two ‑ phase flow by injecting water and surfactant into porous media containing oil and investigation of trapped oil areas. Journal of Petroleum Exploration and Production, 11(3), 1353–1362.
Mundu, M. M. (2026). Comparative Analysis of Model Evaluation Metrics in Energy Systems , Environmental Modeling , and Sustainability Science.
Naibaho, F. N. P., Ar-Raihan, M. H., Adharis, A., Ratri, P. J., & Mayangsari, T. R. (2025). Analysis of the Effect of Cationic and Anionic Surfactants and Polymer Additives on the Water-Oil Interface in Enhanced Oil Recovery: A Molecular Dyn. 10(04), 97–102.
Oliveira, G. F., Sousa, G. L., Syahyuda, Z., & Carvalho, M. A. (2024). Surfactant-Polymer Slug Optimization, Injection Rate & Pattern Size Determination Using The Cmg Simulator In The Mj Well. 9(3), 343–350.
Panthi, K., & Mohanty, K. K. (2024). Development of surfactant formulation for high-temperature off-shore carbonate reservoirs. August, 1–15.
Podoprigora, D., Byazrov, R., & Sytnik, J. (2022). The Comprehensive Overview of Large-Volume Surfactant Slugs Injection for Enhancing Oil Recovery: Status and the Outlook. Energies, 15(21).
Sarbast, R., Salih, N., & Préat, A. (2022). A Critical Overview of ASP and Future Perspectives of NASP in EOR of Hydrocarbon Reservoirs: Potential Application, Prospects, Challenges and Governing Mechanisms. Nanomaterials, 12(22).
Saw, R. K., Sinojiya, D., Pillai, P., Prakash, S., & Mandal, A. (2023). Experimental Investigation of the Synergistic Effect of Two Nonionic Surfactants on Interfacial Properties and Their Application in Enhanced Oil Recovery. ACS Omega, 8(13), 12445–12455.
Shaikhah, D., Loise, V., Angelico, R., Porto, M., Calandra, P., Abe, A. A., Testa, F., Bartucca, C., Oliviero Rossi, C., & Caputo, P. (2024). New Trends in Biosurfactants: From Renewable Origin to Green Enhanced Oil Recovery Applications. Molecules, 29(2), 1–34.
Sheldon, H. A., Kunzmann, M., Crombez, V., & Kerrison, E. (2023). Realistic permeability distributions in faults and sediments : The key to predicting fluid flow in sedimentary basins. February, 2118–2139.
Swadesi, B., Marhaendrajana, T., Septoratno Siregar, H. P., & Mucharam, L. (2015). The effect of surfactant characteristics on IFT to improve oil recovery in tempino light oil field Indonesia. Journal of Engineering and Technological Sciences, 47(3), 250–265. https://doi.org/10.5614/j.eng.technol.sci.2015.47.3.2
Xi, W., Ping, Y., & Alikhani, M. A. (2021). A Review on Biosurfactant Applications in the Petroleum Industry. International Journal of Chemical Engineering, 2021.
Yehia, T., Naguib, A., Abdelhafiz, M. M., Hegazy, G. M., & Mahmoud, O. (2023). Probabilistic Decline Curve Analysis: State-of-the-Art Review. Energies, 16(10).
Zhang, Y., Liu, H., Huang, W., Liu, Z., & Chang, B. (2021). Identification and Characterization of High Permeability Zones Using Conventional Logging and Production Logging Data: A Case Study of Kela 2 Gas Field. Advances in Transdisciplinary Engineering, 17, 52–61.
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