EVALUATION OF CONTINUOUS AND WATER ALTERNATING GAS (WAG) CO2 INJECTION ON X FIELD RECOVERY FACTOR
Abstract
Indonesia is a country rich in natural resources. The wealth of Indonesia's natural resources is not only limited to agricultural and plantation products, but also from mineral and hydrocarbon mining or oil and gas. Indonesia's oil production has continued to decline in the last 10 years until the national consumption rate is much higher than national production. One of the causes of the decline in oil production in Indonesia is the condition of Indonesia's oil fields, which are currently mature fields. To overcome the problem of old fields that still have economic oil reserves, enhanced oil recovery (EOR) can be used. One of the EOR methods that can be used is the CO2 injection method using continuous and WAG injection schemes. The study was conducted in X field with oil-wet carbonate rock composition with waterdrive and fluid expansion driving mechanism. The basecase production scheme using 5 production wells produces a recovery factor of 34.3%, while continuous CO2 injection produces a recovery factor of 32%, and CO2-WAG produces a recovery factor of 42%. Continuous CO2 injection has the lowest recovery factor because early gas breaktrough occurs due to a large mobility ratio and causes gas fingering, hindering the oil production process. The most suitable injection method is CO2-WAG 1 cycle using a 1:1 ratio, CO2 injection volume of 6.661 MSCF/D, injection water volume of 37.4 MBBL/D with a recovery factor of 43.46%.
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References
Abdurrahman, Muslim, Hidayat, F., Husna, U. Z., & Arsad, A. (2019). Determination of optimum CO2 water alternating gas (CO2-WAG) ratio in sumatera light oilfield. Materials Today: Proceedings, 39(xxxx), 970β974. https://doi.org/10.1016/j.matpr.2020.04.495
Ain, N., Mohd, B., Yunan, M. H., & Sagala, F. (2017). The Effect of WAG Ratio and Oil Density on Oil Recovery by Immiscible Water The Effect of WAG Ratio and Oil Density on Oil Recovery by Immiscible Water Alternating Gas Flooding. November.
Alagorni, A. H., Yaacob, Z. Bin, & Nour, A. H. (2015). An Overview of Oil Production Stages: Enhanced Oil Recovery Techniques and Nitrogen Injection. International Journal of Environmental Science and Development, 6(9), 693β701. https://doi.org/10.7763/ijesd.2015.v6.682
Alvarado, V., & Eduardo, M. (2010). ENHANCED OIL Field Planning and Development.
Arlind, F., Rahman, A., & Prabu, U. A. (2015). Metode Material Balance Berdasarkan Nilai Recovery Factor Pada Lapangan β Arl β Petrochina International Jabung Ltd Choosing Drive Fluid Type Analysis By Using Material Balance Method Based on Recovery Factor Mark in β Arl β Field of Petrochina Internatio. September 2013.
Aryana, S. A., Barclay, C., & Liu, S. (2014). North cross devonian unit - A mature continuous CO2 flood beyond 200% HCPV injection. Proceedings - SPE Annual Technical Conference and Exhibition, 2, 996β1002. https://doi.org/10.2118/170653-ms
Bahadori, A. (2018). Fundamentals of Enhanced Oil and Gas Recovery from Conventional and Unconventional Reservoirs. Elsevier Ltd.
BP. (2022). BP Statistical Review of World Energy 2022,( 71st edition). [Online] London: BP Statistical Review of World Energy., 1β60. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2022-full-report.pdf
Carpenter, C. (2019). Experimental program investigates miscible CO2 wag injection in carbonate reservoirs. JPT, Journal of Petroleum Technology, 1, 47β49. https://doi.org/10.2118/0119-0047-JPT
Glover, P. (2001). Formation Evaluation MSc Course Notes. Formation Evaluation M.Sc. Course Notes, 9(February), 84β94.
Hestuti Eni, Komar Sutriah, S. M. (2017). Surfaktan Berbasis Minyak Sawit Untuk Aplikasi Eor Pada Lapangan Minyak Intermediet. LEMBARAN PUBLIKASI MINYAK Dan GAS BUMI, 51(1), 2β7.
Khalef, N. B. (2009). Studying the Effects of WAG Parameters on CO2 Flooding Recovery Efficiency (Issue December). MONTAN UNIVERSITΓT.
Kokal, S., & Al-Kaabi, A. (2010). Enhanced oil recovery: challenges and opportunities. Global Energy Solutions, 64β69. http://www.worldpetroleum.org/docs/docs/publications/2010yearbook/P64-69_Kokal-Al_Kaabi.pdf
Lima, R. O., de, A., Santos, J. A. O., Garcia, A. J. V., & dos Santos, J. P. L. (2020). Assessment of continuous and alternating CO2 injection under Brazilian-pre-salt-like conditions. Journal of Petroleum Exploration and Production Technology, 10(7), 2947β2956. https://doi.org/10.1007/s13202-020-00968-4
Liu, P., Zhang, X., Hao, M., Liu, J., & Yuan, Z. (2016). Parameter optimization of gas alternative water for CO2 flooding in low permeability hydrocarbon reservoirs. Journal of Renewable and Sustainable Energy, 8(3). https://doi.org/10.1063/1.4948483
Prambudia, Y., & Nakano, M. (2012). Exploring Malaysiaβs transformation to net oil importer and oil import dependence. Energies, 5(8), 2989β3018. https://doi.org/10.3390/en5082989
Romero-Zern, L. (2012). Advances in Enhanced Oil Recovery Processes. Introduction to Enhanced Oil Recovery (EOR) Processes and Bioremediation of Oil-Contaminated Sites. https://doi.org/10.5772/45947
Rosiani, D., Permadi, A. K., Siregar, H. P. S., Gunawan, A. Y., & Ariadji, T. (2022). A New CO2-EOR Methods Screening Model Based on Interdependency Parameters. Applied Sciences (Switzerland), 12(8). https://doi.org/10.3390/app12083937
Sadig Suliman Abdallah Suliman, A., Mohammed Adam Osman, E., Ismail Gebril Haroun, M., Mukhtar Ahmed Ateem, M., & Eng Satti Merghany Gaily, L. (2022). Prediction of Water Flooding Performance for Stratified Reservoir Using (CMG) Software in Hegilig Main Gield (Case Study) (Issue February 2022). Sudan University of Science and Technology.
Sanchez, N. L., & Exploration, P. (1999). SPE 53714 Management of Water Alternating Gas ( WAG ) Injection Projects.
Taber, J. J., Martin, F. D., & Seright, R. S. (1997). EOR Screening Criteria Reyisited - Part 1β―: Introduction to Screening Criteria and Enhanced Recovery Field Projects. SPE Reservoir Engineering (Society of Petroleum Engineers), 12(3), 189β197. https://doi.org/10.2118/35385-pa
Utama, E. R. (2014). Analisis Faktor-Faktor Yang Mempengaruhi Impor Minyak Mentah Di Indonesia. Analisis Faktor-Faktor Yang Mempengaruhi Impor Minyak Mentah Di Indonesia, 7(1), 85β91. https://doi.org/10.15294/jejak.v7i1.3845
Yang, X.-S. (2021). Chapter 8 - Particle Swarm Optimization. In X.-S. Yang (Ed.), Nature-Inspired Optimization Algorithms (Second Edition) (Second Edi, pp. 111β121). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-12-821986-7.00015-9
Zhang, X. Y., Trame, M. N., Lesko, L. J., & Schmidt, S. (2015). Sobol sensitivity analysis: A tool to guide the development and evaluation of systems pharmacology models. CPT: Pharmacometrics and Systems Pharmacology, 4(2), 69β79. https://doi.org/10.1002/psp4.6
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