Uncertainty Assessment of Chemical EOR in One of the Offshore Fields in Malaysia
- Nader Ghadami (PETRONAS Carigali Sdn. Bhd.) | Dian Arsanti (PETRONAS Carigali Sdn. Bhd.) | M Faizal Sedaralit (PETRONAS Carigali Sdn. Bhd.)
- Document ID
- Society of Petroleum Engineers
- SPE Asia Pacific Enhanced Oil Recovery Conference, 11-13 August, Kuala Lumpur, Malaysia
- Publication Date
- Document Type
- Conference Paper
- 2015. Society of Petroleum Engineers
- 5.4 Enhanced Recovery, 5.6.5 Tracers, 2.5.2 Fracturing Materials (Fluids, Proppant), 5.5 Reservoir Simulation, 5.4 Enhanced Recovery, 5.4.4 Reduction of Residual Oil Saturation, 5.4.1 Waterflooding, 5.3.6 Chemical Flooding Methods (e.g., Polymer, Solvent, Nitrogen, Immiscible CO2, Surfactant, Vapex), 5.5.3 Scaling Methods, 5 Reservoir Desciption & Dynamics, 5.3.2 Multiphase Flow, 2.5 Hydraulic Fracturing, 2 Well completion, 5.3.4 Reduction of Residual Oil Saturation, 5.6 Formation Evaluation & Management
- Proxy Model, Uncertainty Assessment, Residual Oil, Alkaline Surfactant, Chemical EOR
- 1 in the last 30 days
- 314 since 2007
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Chemical flooding is one of the enhanced oil recovery (EOR) methods to mobilize the residual oil after waterflooding by reduction of oil-water interfacial tension or wettability alteration and consequently increase of capillary number. The objective of this study is to assess the potential of alkaline surfactant (AS) flooding on a major oil reservoir at offshore Malaysia, besides to conduct the uncertainty assessment. High capital and operating expenditure are associated with chemical EOR (CEOR) projects. Therefore, key subsurface uncertainties quantified thoroughly for a robust assessment of influential parameters.
The considered field is planned to be a pioneer in offshore CEOR. After the completion of pilot and matching the results in the simulation model, the key step is to upscale the results to the full field level. A critical step of the chemical EOR is to find the relative contribution of the influential parameters on the objective function like oil recovery. To do so, a detailed modeling work was performed for sensitivity and uncertainty analysis of AS flooding. Some of the important parameters used in the model are interfacial tension, chemical adsorption, slug size, and reduction of residual oil saturation by chemical.
A single well pilot test project was successfully conducted in 2007. The pilot entailed the injection of Alkaline-Surfactant chemicals and chemical tracer test into a waterflooded reservoir and produced from the same well. The pilot test indicated significant reduction of residual oil saturation (Sorw) in the range of 50% to 80% of Sorw. After running the uncertainty cases for the targeted reservoir, the probability ranges of the objective function were established. Based on the results of this uncertainty analysis, a proxy model has been built and subsequently quality checked to ensure that it can reproduce the simulated data with high accuracy. The developed proxy model was used to capture all combination of parameter ranges and do better decision making on the project. The results showed that based on the corresponding ranges of parameters, the residual oil reduction and slug size exhibited the highest and lowest impact on oil recovery, respectively. Therefore, the uncertainty of the objective function can be reduced by mitigating the uncertainty of the most influential parameters. Moreover, this work presents a proper workflow of CEOR modeling in addition to detailed and systematic approach for uncertainty evaluation.
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Alkhatib, A.M. and King P.R. 2014. The Use of the Least Squares Probabilistic Collocation Method in Decision Making in the Presence of Uncertainty for Chemical EOR Processes. Presented at the SPE Annual Technical Conference and Exhibition, Amsterdam, Netherlands, 27–29 October. SPE-170587-MS. http://dx.doi.org/10.2118/170587-MS.
Carrero, E., Queipo, N.V., Pintos, S. 2007. Global sensitivity analysis of Alkali–Surfactant–Polymer enhanced oil recovery processes. J. of Pet. Sci. and Eng. 58(1): 30–42. dx.doi.org/10.1016/j.petrol.2006.11.007.
Costa, A.P., Schiozer, D., Moczydlower, P.2008. Use of Representative Models to Improve the Decision Making Process of Chemical Flooding in a Mature Field. Presented at the SPE Russian Oil & Gas Technical Conference and Exhibition, Moscow, Russia. 28-30 October. SPE-115442-MS. http://dx.doi.org/10.2118/115442-MS.
Deans, H.A. and Carlisle, C.T. 1986. Single Well Tracer Test in Complex Pore System. Presented at the SPE Enhanced Oil Recovery Symposium, Tulsa, Oklahoma, 20-23 April. SPE-14886-MS. http://dx.doi.org/10.2118/14886-MS.
Ibrahim Z., Manap, A.A.A.Hamid P.A. 2006. Laboratory Aspect of Chemical EOR Processes Evaluation for Malaysian Oilfields, Presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, Australia, 11–13 September. SPE-100943-MS. http://dx.doi.org/10.2118/100943-MS.
Manap, A.A.A.Chong, M.O.Sai, R.M. 2011. Evaluation of Alkali-Surfactant Effectiveness by Single Well Test Pilot in a Malaysian Offshore Field Environment. Presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, Malaysia, 19-21 July. SPE-144150-MS. http://dx.doi.org/10.2118/144150-MS.
Manrique E.J., Muci V.E., Gurfinkel M.E. 2007. EOR Field Experiences in Carbonate Reservoirs in the United States. SPE Res Eval. & Eng.; 10 (6):667–686. SPE-100063-PA. http://dx.doi.org/10.2118/100063-PA.
Othman, M., Chong, M.O., Sai, R.M., 2007. Meeting the Challenges in Alkaline Surfactant Pilot Project Implementation at Angsi Field, Offshore Malaysia, Presented at the Offshore Europe, Aberdeen, Scotland, 4–7 September. SPE-109033-MS. http://dx.doi.org/10.2118/109033-MS.
Sheng, J.J., 2014. A Comprehensive Review of Alkaline-Surfactant-Polymer (ASP) Flooding", Asia-Pac. J. Chem. Eng., 9: 471–489. DOI: 10.1002/apj.1824.
Zainal, S.Manap, A.A.A., Hamid, P.A. 2008, Offshore Chemical EOR: The Role of an Innovative Laboratory Program in Managing Result Uncertainty to Ensure the Success of a Pilot Field Implementation. Presented at the Europec/EAGE Conference and Exhibition, Rome, Italy, 9–12 June. SPE-113154-MS. http://dx.doi.org/10.2118/113154-MS.