Modeling and simulation of factors affecting cost increases in oil and gas construction projects using a system dynamics approach (Case study: Esfand and Sivand projects in the Persian Gulf)

Document Type : Article extracted From phd dissertation

Authors
1 Department of Civil Engineering, Ar.C., Islamic Azad University, Arak, Iran.
2 Department of Industrial Engineering, Ar.C., Islamic Azad University, Arak, Iran.
Abstract
Oil and gas construction projects face high uncertainty and rising execution costs due to structural complexity. A major challenge is the inability of conventional static approaches to explain the dynamic and nonlinear behavior of costs shaped by feedback loops, time delays, and imbalances between financial and operational flows. Therefore, this study aims to develop and validate a system dynamics model for analyzing and simulating the factors affecting cost escalation in oil and gas construction projects. This research adopted an exploratory mixed-methods approach. Data were collected through a literature review and semi-structured interviews with 15 experts selected through purposive sampling. Qualitative analysis identified 38 sub-factors and 11 major causes influencing project costs. These factors were incorporated into a stock-and-flow model with feedback loops and implemented using Vensim software. Model validity was evaluated through behavior reproduction, sensitivity analysis, and structural consistency tests. Simulation results showed that under an optimistic scenario, with a 50% increase in financial resource allocation and a 30% improvement in project control, remaining financial resources increased from USD 4.9 million to USD 7.6 million. Project completion time decreased from 25 to 13 time units, completed activities increased from 8,400 to 8,900, and remaining activities decreased from 46 to 32. Under a pessimistic scenario involving workload pressure and contractual conflicts, remaining financial resources declined to USD 1.5 million, project completion time increased to 29 time units, and completed activities decreased to 8,000.The findings indicate that project cost behavior is strongly influenced by feedback mechanisms and managerial policies. The proposed model can serve as an effective decision-support tool for cost control and performance improvement in oil and gas construction projects. It also enables managers to evaluate alternative policies, anticipate risks, optimize resource utilization, and support strategic decisions under uncertain conditions.
Keywords
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1.      Abdelalim, A. M., Salem, M., Salem, M., Al-Adwani, M. and Tantawy, M. (2024). An analysis of factors contributing to cost overruns in the global construction industry. Buildings, 15(1), 18. https://doi.org/10.3390/buildings15010018
2.      Adepu, N., Kermanshachi, S., Pamidimukkala, A. and Nwakpuda, E. (2025). An analytical approach to understanding construction cost overruns during COVID-19. Smart and Sustainable Built Environment, 14(6), 1780-1794. https://doi.org/10.1108/SASBE-10-2023-0306
3.      Akinradewo, O., Ngwenya, L., Aigbavboa, C. and Thwala, W. (2019). Re-Visiting the impediments of cost contingency plans for construction projects in South Africa. In: 14th International Conference Organization, Technology and Management in Construction and 7th International Project. South Africa: International Conference Proceedings, p. 70. https://doi.org/10.1088/1757-899X/640/1/012030
4.      Alhammadi, A. S. A. M. and Memon, A. H. (2020). Inhibiting factors of cost performance in UAE construction projects. International Journal of Sustainable Construction Engineering and Technology, 11(2), 126-132. https://doi.org/10.21608/auej.2024.304403.1684
5.      Annamalaisami, C. D. and Kuppuswamy, A. (2021). Managing cost risks: Toward a taxonomy of cost overrun factors in building construction projects. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(2), 04021021. https://doi.org/10.1061/AJRUA6.0001132
6.      Babar, S., Thaheem, M. J. and Ayub, B. (2017). Estimated cost at completion: Integrating risk into earned value management. Journal of Construction Engineering and Management, 143(3), 04016104. https://doi.org/10.1061/AJRUA6.0001132
7.      Badawy, M., Alqahtani, F. and Hafez, H. (2022). Identifying the risk factors affecting the overall cost risk in residential projects at the early stage. Ain Shams Engineering Journal, 13(2), 101586. https://doi.org/10.1016/j.asej.2021.09.013
8.      Bruzelius, N., Flyvbjerg, B. and Rothengatter, W. (2002). Big decisions, big risks. Improving accountability in mega projects. Transport Policy, 9(2), 143-154. https://doi.org/10.1016/S0967-070X(02)00014-8
9.      Chapman, R. J. (1998). The role of system dynamics in understanding the impact of changes to key project personnel on design production within construction projects. International Journal of Project Management, 16(4), 235-247. https://doi.org/10.1016/S0263-7863(97)00043-4
10.   Creedy, G. D., Skitmore, M. and Wong, J. K. (2010). Evaluation of risk factors leading to cost overrun in delivery of highway construction projects. Journal of Construction Engineering and Management, 136(5), 528-537. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000160
11.   Dong, S., Ahmed, M. and Chatpattananan, V. (2025). Analysis of key factors of cost overrun in construction projects based on structural equation modeling. Sustainability, 17(5), 2119. https://doi.org/10.3390/su17052119
12.   Enrica, M., Purba, H. H. and Purba, A. (2021). Risks leading to cost overrun in construction projects: a systematic literature review. Advance Researches in Civil Engineering, 3(1), 43-60. https://doi.org/10.30469/arce.2021.130147
13.   Esmaeili, I. and Kashani, H. (2022). Managing cost risks in oil and gas construction projects: root causes of cost overruns. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(1), 04021072. https://doi.org/10.1061/AJRUA6.0001193
14.   Etemadinia, H. and Tavakolan, M. (2021). Using a hybrid system dynamics and interpretive structural modeling for risk analysis of design phase of the construction projects. International Journal of Construction Management, 21(1), 93-112. https://doi.org/10.1080/15623599.2018.1511235
15.   Flyvbjerg, B. (2018). Planning fallacy or hiding hand: Which is the better explanation? arXiv preprint arXiv:1802.09999. https://doi.org/10.1016/j.worlddev.2017.10.002
16.   Flyvbjerg, B., Glenting, C. and Rønnest, A. (2004). Procedures for dealing with optimism bias in transport planning. London: Department for Transport. https://ssrn.com/abstract=2278346
17.   Gómez-Cabrera, A., Gutierrez-Bucheli, L. and Muñoz, S. (2024). Causes of time and cost overruns in construction projects: a scoping review. International Journal of Construction Management, 24(10), 1107-1125. https://doi.org/10.1080/15623599.2023.2252288
18.   Hamdan, M. M., Thneibat, M. and Hyari, K. (2026). Predicting cost overrun in construction projects using machine learning algorithms: the case of Jordan. Engineering, Construction and Architectural Management, 33(6), 4732-4763. https://doi.org/10.1108/ECAM-09-2024-1209
19.   Kassem, M. A. (2022). Risk management assessment in oil and gas construction projects using structural equation modeling (PLS-SEM). Gases, 2(2), 33-60. https://doi.org/10.3390/gases2020003
20.   Kumar, A. and Hooda, Y. (2024). Assessing cost overrun in construction industry: a review. In: International Conference on Structural Engineering and Construction Management. Cham: Springer Nature Switzerland, pp. 561-576.  https://doi.org/10.1007/978-3-031-70431-4_41
21.   Lee, K. T., Ann, H., Kim, J. W. and Kim, J. H. (2021). A comparative analysis of risk impacts on cost overrun between actual cases and managers' perception on overseas construction projects. Korean Journal of Construction Engineering and Management, 22(3), 52-60.
22.   Li, M., Li, G., Huang, Y. and Deng, L. (2017). Research on investment risk management of Chinese prefabricated construction projects based on a system dynamics model. Buildings, 7(3), 83. https://doi.org/10.3390/buildings7030083
23.   Lundman, P. (2011). Cost management for underground infrastructure projects: A case study on cost increase and its causes. Doctoral dissertation. Sweden: University of Technology.
24.   Memon, A. H., Memon, A. Q., Soomro, M. A., Memon, M. A. and Khan, J. S. S. (2023). Structural model of cost overrun factors affecting Pakistani construction projects. Mehran University Research Journal of Engineering & Technology, 42(2), 108-123.
25.   Nasirzadeh, F., Afshar, A. and Khan, Z. M. (2008). System dynamics approach for construction risk analysis. https://doi.10.3316/informit.002504097366040
26.   Ofori, G. (2007). Construction in developing countries. Construction Management and Economics, 25(1), 1-6. https://doi.org/10.1080/01446190601114134
27.   Olaniran, O. J., Love, P. E. D., Edwards, D. J., Olatunji, O. and Matthews, J. (2017). Chaos theory: implications for cost overrun research in hydrocarbon megaprojects. Journal of Construction Engineering and Management, 143(2), 05016020. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001227
28.   Olaniran, O. J., Love, P. E., Edwards, D., Olatunji, O. A. and Matthews, J. (2015). Cost overruns in hydrocarbon megaprojects: A critical review and implications for research. Project Management Journal, 46(6), 126-138. https://doi.org/10.1002/pmj.21556
29.   Shoar, S., Yiu, T. W., Payan, S. and Parchamijalal, M. (2023). Modeling cost overrun in building construction projects using the interpretive structural modeling approach: a developing country perspective. Engineering, Construction and Architectural Management, 30(2), 365-392.
30.   Suprun, E., Sahin, O., Stewart, R. A. and Panuwatwanich, K. (2022). Examining transition pathways to construction innovation in Russia: a system dynamics approach. International Journal of Construction Management, 22(4), 556-578. https://doi.org/10.1080/15623599.2019.1637628
31.   Vu, T. Q., Pham, C. P., Nguyen, T. A., Nguyen, P. T., Phan, P. T. and Nguyen, Q. L. H. T. T. (2020). Factors influencing cost overruns in construction projects of international contractors in Vietnam. The Journal of Asian Finance, Economics and Business, 7(9), 389-400. https://mpra.ub.uni-muenchen.de/id/eprint/103435