A Practical Integrated Workflow for Well Candidate Selection in Mature Oil Fields Using Well Opportunity Index and Delta Potential
DOI:
https://doi.org/10.29017/scog.v49i3.2137Keywords:
mature oil field, well candidate selection, well opportunity index, delta potential, production optimizationAbstract
Mature oil fields commonly face production decline, increasing water cut, and limited availability of complete static and dynamic reservoir models. Under these conditions, a practical and traceable workflow is necessary to select well candidates for production optimization. This study proposes an integrated workflow combining well opportunity index (WOI), Delta Potential, quadrant analysis, and weighted ranking. The workflow is applied to three producing wells in the G-40 sandstone reservoir of the TM Field, a mature oil field in the South Sumatra Basin, Indonesia. Current oil saturation is estimated using a fractional-flow-based approach and validated by matching calculated and observed oil rates, resulting in Mean Absolute Percentage Error (MAPE) values of approximately 2%, 3%, and 3%. WOI represents reservoir opportunity through flow capacity, movable hydrocarbon pore volume, and remaining pressure support, while Delta Potential quantifies remaining production opportunity. The calculated Delta Potential values are 0.112, 0.103, and 0.042 MMSTB for TM-1, TM-2, and TM-3, respectively. Quadrant analysis places TM-1 and TM-2 in the high-WOI and high-Delta-Potential region; however, TM-2 is treated as a secondary candidate requiring further diagnosis because its WOI is lower than that of TM-1. The final weighted ranking produces the priority order TM-1 > TM-2 > TM-3. These results indicate that the proposed workflow provides a practical and traceable preliminary screening tool for mature-field production optimization under limited data availability.
References
Abdel-Basset, M., Al Mufarej, M., Al-Mutawa, M., Chetri, H., Anthony, E., Al-Zaabi, H., Bolanos, N., Ruiz, H., & Harami, K. (2018). Integrated production optimization workflow provides robust platform for significant oil gain to a mature oilfield. Abu Dhabi International Petroleum Exhibition and Conference. Society of Petroleum Engineers. SPE-193121-MS. https://doi.org/10.2118/193121-MS.
Arps, J. J. (1945). Analysis of decline curves. Transactions of the AIME, 160(1), 228-247. https://doi.org/10.2118/945228-G.
Babadagli, T. (2005). Mature field development: A review. SPE Europec/EAGE Annual Conference, Madrid, Spain. Society of Petroleum Engineers. SPE-93884-MS. https://doi.org/10.2118/93884-MS
Chetri, H. B., El-Sabry, A. A., Al-Mufarej, M., & Al-Anzi, E. (2008). Integrated reservoir management approach beats the impact of reservoir heterogeneity, injectivity challenges, and delayed water flood in Upper Burgan Reservoir in North Kuwait: A case history. SPE North Africa Technical Conference and Exhibition, Marrakech, Morocco. Society of Petroleum Engineers. https://doi.org/10.2118/111472-MS
Cimic, M. (2006). Russian mature fields redevelopment. SPE Russian Oil and Gas Technical Conference and Exhibition. Society of Petroleum Engineers. SPE-102123-MS. https://doi.org/10.2118/102123-MS
Haryanto, E., Yersaiyn, S., Akram, A. H., Bouchet, F., Galal, H., & Basarudin, M. A. (2019). Standardization of inactive wells audit process for well abandonment and production enhancement candidate screening. SPE Symposium: Decommissioning and Abandonment, Kuala Lumpur, Malaysia. Society of Petroleum Engineers. SPE-199205-MS. https://doi.org/10.2118/199205-MS
Hirasaki, G. J. (1996). Dependence of waterflood remaining oil saturation on relative permeability, capillary pressure, and reservoir parameters in mixed-wet turbidite sands. SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. https://doi.org/10.2118/30763-PA
Jalali, J., Mohaghegh, S. D., & Gaskari, R. (2006). Identifying infill locations and underperformer wells in mature fields using monthly production data. SPE Eastern Regional Meeting. Society of Petroleum Engineers. SPE-104550-MS. https://doi.org/10.2118/104550-MS
Johnson, D. E. (2003). Improving the profitability of production facilities in mature fields. Offshore Technology Conference, Houston, Texas. OTC-15079. https://doi.org/10.4043/15079-MS
Kosmidis, V. D., Perkins, J. D., & Pistikopoulos, E. N. (2004). Optimization of well oil rate allocations in petroleum fields. Industrial & Engineering Chemistry Research, 43, 3513-3527. https://doi.org/10.1021/ie034171z
Larasati, K., Wicaksono, D. S., Kristanto, D., Hariyadi, Rahmadhini, R. S., & Azzaria, C. N. (2026). Integrated logging, production, and geological analysis for bypassed oil identification in CNA Field, Central Sumatra Basin. Scientific Contributions Oil and Gas, 49(2), 577-591. https://doi.org/10.29017/scog.v49i2.2099.
Mattar, L., & Anderson, D. M. (2003). A systematic and comprehensive methodology for advanced analysis of production data. SPE Annual Technical Conference and Exhibition, Denver, Colorado. Society of Petroleum Engineers. https://doi.org/10.2118/84472-MS
Mohaghegh, S. D., Gaskari, R., & Jalali, J. (2005). New method for production data analysis to identify new opportunities in mature fields: Methodology and application. SPE Eastern Regional Meeting, Morgantown, West Virginia. Society of Petroleum Engineers. https://doi.org/10.2118/98010-MS
Molina, A., & Rincon, A. (2009). Exploitation plan design based on opportunity index analysis in numerical simulation models. SPE Latin American and Caribbean Petroleum Engineering Conference, Cartagena, Colombia. Society of Petroleum Engineers. https://doi.org/10.2118/122915-MS
Pilcher, R. S., Ciosek, J. M., McArthur, K., Hohman, J., & Schmitz, P. (2011). Ranking production potential based on key geological drivers: Bakken case study. International Petroleum Technology Conference, Bangkok, Thailand. IPTC-14733-MS. https://doi.org/10.2523/IPTC-14733-MS
Prayitno, S. H., Hariyadi, Widiyaningsih, I., Cahyaningtyas, N., Helmy, M. F., & Pramuditha, B. (2026). Reducing uncertainty in idle well reactivation: A novel integrated screening framework for mature oil fields. Scientific Contributions Oil and Gas, 49(2), 475-485. https://doi.org/10.29017/scog.v49i2.2089.
Reese, R. D. (1996). Completion ranking using production heterogeneity indexing. SPE Annual Technical Conference and Exhibition, Denver, Colorado. Society of Petroleum Engineers. SPE-36604-MS. https://doi.org/10.2118/36604-MS
Reese, P. D., Ilk, D., & Blasingame, T. A. (2007). Estimation of reserves using the reciprocal rate method. SPE Rocky Mountain Oil & Gas Technology Symposium, Denver, Colorado. Society of Petroleum Engineers. https://doi.org/10.2118/107981-MS
Romli, M., Sugihardjo, Sunarjanto, D., Suliantara, Firdaus, N., & Saputra, D. D. S. M. (2021). Lapangan Migas potensial sebagai CCUS-EOR: Studi kasus prospek injeksi CO2 di Sumatra Selatan. Lembaran Publikasi Minyak dan Gas Bumi, 55(3), 187-200. https://doi.org/10.29017/LPMGB.55.3.707.
Salman, A., Adams, D., & Sofer, Z. (2013). Analyzing completion efficiency using modified heterogeneity index. SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. SPE-166227-MS. https://doi.org/10.2118/166227-MS
Sandau, C. (2008). Novel approach to high water cut measurement in a mature oil field. SPE International Petroleum Technology Conference. Society of Petroleum Engineers. SPE-117354-MS. https://doi.org/10.2118/117354-MS
Sitorus, J., Sofyan, A., & Abdulfatah, M. Y. (2006). Developing a fractional flow curve from historic production to predict performance of new horizontal wells, Bekasap Field, Indonesia. SPE Asia Pacific Oil and Gas Conference and Exhibition, Adelaide, Australia. Society of Petroleum Engineers. https://doi.org/10.2118/101144-MS
Sugiantoro, J. J. (2014). Analisis laju pengurasan produksi minyak lapangan-lapangan Sumatera Selatan. Lembaran Publikasi Minyak dan Gas Bumi, 48(3), 133-140. https://doi.org/10.29017/LPMGB.48.3.1219.
Tan, J. S., Del Castillo, Y., & Reese, R. D. (2010). Performance model analysis for candidate recognition. SPE Latin American and Caribbean Petroleum Engineering Conference, Lima, Peru. Society of Petroleum Engineers. SPE-138229-MS. https://doi.org/10.2118/138229-MS
Turnip, J. F., Yasutra, A., Maulana, F., & Mustaqim, S. D. (2024). Mature field and well revitalization: Selection of matrix acidizing candidates. Scientific Contributions Oil and Gas, 47(1), 65-73. https://doi.org/10.29017/SCOG.47.1.1613.
Published
Issue
Section
License
Copyright (c) 2026 Copyright by Authors. Published by LEMIGAS

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.









