RISK-BASED LIFE CYCLE COST ANALYSIS FOR STRATEGIC MAINTENANCE DECISION-MAKING IN DEEPWATER GAS OPERATIONS
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2026-06-18Downloads
Abstract
This paper examines why the maintenance cost per barrel at a deepwater gas field operating under a cost-recovery production-sharing contract rose 161% in a single year, climbing from USD 0.41/BOE in the prior year to USD 1.07/BOE, even though plant availability stayed above 97%. A risk-based life-cycle cost (LCC) framework is applied to four maintenance strategy alternatives over an eight-year residual contract horizon (2025 to 2032) using primary operational records for 2021 to 2024, supplemented by sensitivity analysis and the Analytic Hierarchy Process (AHP). The deterministic Net Present Cost (NPC) ranking favors contract restructuring as the least-cost option (A2, USD 72.37M, 10% real discount rate). The multi-criteria evaluation, which integrates risk-cost exposure under the safety, efficiency, flexibility, and cost criteria (weights 0.557, 0.286, 0.100, 0.056, CR 0.003), supports condition-based monitoring investment as the recommended strategy (A3, NPC USD 74.51M, AHP composite 0.438). An expected-value analysis estimates that a CBM-enabled 30% reduction in unplanned-event frequency avoids approximately USD 5.9M of production-loss exposure against a USD 2.14M premium over the cheapest alternative, a ratio of roughly 2.8 times. The recommended strategy targets a return to USD 0.85 to 0.90/BOE within the 2026 to 2028 planning horizon. The findings show that under cost-recovery fiscal structures, the cost-cheapest option is not the value-best option once risk-cost exposure is properly weighted.
Keywords:
life cycle cost condition-based monitoring maintenance strategy AHP production-sharing contract offshore gasReferences
Agusyasa, I. M., and Nainggolan, Y. A. (2023). Green economy evaluation of EOR projects in Borneo Field: Case of CO2 injection vs chemical injection. European Journal of Business and Management Research, 8(4), 28 to 39. https://doi.org/10.24018/ejbmr.2023.8.4.1998
Barringer, H. P. (1997). Life cycle cost and reliability for process equipment. Barringer and Associates.
Bevilacqua, M., and Braglia, M. (2000). The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering and System Safety, 70(1), 71 to 83. https://doi.org/10.1016/S0951-8320(00)00047-8
Campagna, L. M., Carlucci, F., and Fiorito, F. (2025). Life cycle cost optimization for schools energy retrofit under climate change. Energy and Buildings, 115561. https://doi.org/10.1016/j.enbuild.2025.115561
International Organization for Standardization. (2014). ISO 55000:2014: Asset management, overview, principles and terminology. ISO.
International Organization for Standardization. (2017). ISO 15686-5:2017: Buildings and constructed assets, service life planning, Part 5: Life-cycle costing. ISO.
Kim, S.-Y., Kim, M.-K., Choi, M. H., and Kim, D.-W. (2024). Optimal preventive maintenance: Balancing reliability and costs in the electricity market. Energy Policy, 194, 114316. https://doi.org/10.1016/j.enpol.2024.114316
Kneifel, J., and Webb, D. (2022). Life cycle costing manual for the Federal Energy Management Program (NIST Handbook 135, 2022 ed.). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.HB.135e2022-upd1
Le Roux, D., Olives, R., and Neveu, P. (2022). Geometry optimisation of an industrial thermocline thermal energy storage combining exergy, life cycle assessment and life cycle cost analysis. Journal of Energy Storage, 55, 105776. https://doi.org/10.1016/j.est.2022.105776
McKeown, B., Coulton, J., Saydam, S., and Dempster, A. G. (2024). What is an appropriate investment hurdle rate for commercial space resource development projects? Space Policy, 70, 101630. https://doi.org/10.1016/j.spacepol.2024.101630
Nguyen, T. A. T., and Chou, S.-Y. (2019). Improved maintenance optimization of offshore wind systems considering effects of government subsidies, lost production and discounted cost model. Energy, 187, 115909. https://doi.org/10.1016/j.energy.2019.115909
Patriarca, R., Lovaglio, L., and Simone, F. (2025). Functional resonance analysis via a genetic algorithm to ensure cost-effective maintenance planning. International Journal of Production Economics, 281, 109516. https://doi.org/10.1016/j.ijpe.2025.109516
Ratnayake, R. M. C., and Markeset, T. (2010). Technical integrity management: Measuring HSE awareness using AHP in selecting a maintenance strategy. Journal of Quality in Maintenance Engineering, 16(1), 44 to 63. https://doi.org/10.1108/13552511011030327
Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, priority setting, resource allocation. McGraw-Hill.
Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48(1), 9 to 26. https://doi.org/10.1016/0377-2217(90)90057-I
Wang, C.-N., Hsueh, M.-H., Tran Thi, D.-O., Le, T. D.-M., and Dinh, Q.-T. (2025). Optimal maintenance strategy selection for oil and gas industry equipment using a combined Analytic Hierarchy Process and Technique for Order of Preference by Similarity to an Ideal Solution. Processes, 13(5), 1389. https://doi.org/10.3390/pr13051389
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