Fuzzy risk analysis for field condition, external, and technical risk factors in Subsea Pipeline Construction Projects to improve contingency cost accuracy

https://doi.org/10.21744/irjeis.v11n4.2518

Authors

  • Herianto Ebong Universitas Indonesia, Depok, West Java 16424, Indonesia
  • Yusuf Latief Universitas Indonesia, Depok, West Java 16424, Indonesia
  • Muhammad Yusuf Universitas Indonesia, Depok, West Java 16424, Indonesia

Keywords:

Fuzzy Risk Analysis, Field Condition, External, Technical, Construction Project, Subsea Pipeline, Contingency Cost Accuracy

Abstract

This study focuses on identifying the relationship between risk factors related to environmental conditions, external factors, and technical aspects that affect the cost performance of underwater pipeline construction projects. The main objectives of this study are to understand the qualitative risk assessment that affects the contingency cost performance of underwater pipeline construction projects, and to identify the relationship between various risk factors. The methodology in this study involves a case study approach on a submarine pipeline project in the Java Sea, utilizing historical analysis and expert information to identify potential risks and their impacts on project costs using fuzzy-based qualitative and quantitative analysis. The study found two field condition risk factors, one external risk and thirteen technical risk factors in a submarine pipeline construction project using the S-Lay method. In an academic context, this study conducts an in-depth and detailed analysis of the identification stage, analysis, classification of risk levels (field conditions, external and technical), relationships between risk variables, corrective actions, corrective action costs, and contingency cost analysis. The results of the analysis help in estimating project costs in more detail.

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References

Abd El Khalek, H., Aziz, R. F., & Kamel, H. (2016). Uncertainty and risk factors assessment for cross-country pipelines projects using AHP. American journal of civil engineering, 4(1), 12-23.

Al-Gahtani, K., Shafaay, M., Ahmed, O., Alawshan, M., Alsanabani, N., & Aljadhai, S. (2023). Risk factors for time and cost overruns of pipeline projects in Saudi Arabia. Advances in Civil Engineering, 2023(1), 9497451.

Aulia, R. (2014). Risk management of submarine pipeline construction.

Dimitroff, T. J. (2014). Cross-border oil and gas pipeline risk and sustainable mitigations. The Journal of World Energy Law & Business, 7(4), 287-339.

ESDM, K. (2021). Oil and gas statistics 2021 Jakarta: Ministry of Energy and Mineral Resources.

Fallahnejad, M. H. (2013). Delay causes in Iran gas pipeline projects. International Journal of project management, 31(1), 136-146. https://doi.org/10.1016/j.ijproman.2012.06.003

Hatmoko, J. U. D., & Khasani, R. R. (2019). Mapping delay risks of EPC projects: a case study of a platform and subsea pipeline of an oil and gas project. In IOP Conference Series: Materials Science and Engineering (Vol. 598, No. 1, p. 012095). IOP Publishing.

IEA. (2017). The environmental case for natural gas.

Institute for Essential Services Reform (IESR). (2023). Indonesia energy transition outlook.

Khamooshi, S., & Khosravi, A. (2020). Risk management in project cost contingencies. International journal of project management, 38(5), 345-356.

Kraidi, L., Shah, R. K., Matipa, W. M., & Borthwick, F. (2018, May). Analysing the Critical Risk Factors of Oil and Gas Pipeline Projects in Iraq. In The 3rd BUiD Doctoral Research Conference 2017 Proceedings (pp. 133-148). British University in Dubai.

Kraidi, L., Shah, R., Matipa, W., & Borthwick, F. (2020). Using stakeholders’ judgement and fuzzy logic theory to analyze the risk influencing factors in oil and gas pipeline projects: Case study in Iraq, Stage II. International Journal of Critical Infrastructure Protection, 28, 100337. https://doi.org/10.1016/j.ijcip.2020.100337

Latief, Y., & Aulia, R. (2024). Risk-Based Evaluation of Trenching Methods in Pipeline Installation with Pre & Post-Lay Trench Approaches to Improve Time and Cost Performance. Global Business & Finance Review, 29(9), 124.

Melvill. (2024). Identification of the influence of technical risk factors on cost performance in submarine pipeline construction projects using the statistical product & service solution method to improve cost accuracy.

Nursanti, E., Sibut, S., Hutabarat, J., & Septiawan, A. (2018). Risk management in subsea pipelines construction project using Delphi method, FMECA, and continuous improvement. ARPN Journal of Engineering and Applied Sciences, 13(11).

Nwosu, H. U., & Enyiche, M. I. (2011). Risk Analysis Methods for Pipelines in Niger Delta. Journal of Innovative Research in Engineering and Sciences, 2(2), 94-106.

Project Management Institute. (2017). Agile practice guide. Project Management Institute.

Siregar, V. A. P. (2011). Cost overrun risk factors on overhead costs that affect the final cost performance of pipeline and gas station construction projects at PT. X.

Wen, J., Zhang, L., Guo, Z., Tang, W., Shang, S., Liu, M., & Yun, F. (2024). Reliability and safety assessment of submarine pipeline stopper based on Fuzzy Comprehensive Dynamic Bayesian Network. Ocean Engineering, 298, 117099. https://doi.org/10.1016/j.oceaneng.2024.117099

Wiguna, I. P. A., Anwar, N., Widodo, A., & Rodhi, N. N. (2017). Risk management effectiveness of oil and gas pipeline construction in Java Island-Indonesia. IPTEK Journal of Proceedings Series, 3(6).

Yusuf, M., Latief, Y., Rarasati, A. D., Trigunarsyah, B., & Laksono, N. B. (2025). Fuzzy Bayesian Belief Networks Method on Risk Assessment of EPC Pipeline Project. Civil Engineering Journal (Iran), 11(3), 1050-1071.

Published

2025-06-03

How to Cite

Ebong, H., Latief, Y., & Yusuf, M. (2025). Fuzzy risk analysis for field condition, external, and technical risk factors in Subsea Pipeline Construction Projects to improve contingency cost accuracy. International Research Journal of Engineering, IT and Scientific Research, 11(4), 71–87. https://doi.org/10.21744/irjeis.v11n4.2518

Issue

Section

Research Articles