Introduction of Risk Management Method Based on Hierarchy Risk Management and Surface Data to Eliminate Operational Risk (Second Development)

Document Type : Original Research Article

Authors

Department of Environment, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

Abstract

Industrial operations in high H2S gas wells can cause serious environmental, financial & health consequences. Risk management is important, especially when the world is at war with the SARS-COV-2 pandemic; we should have stronger boundaries to protect lives. One of the common methods is the hierarchy method. In this study, by combining this method and designing a new correlation to calculate static bottom hole pressure at gas wells, we tried to have strong risk management with the final goal of replacing the industrial operation. In the past, time-consuming and imprecise trial and error methods& expensive operations were used to calculate static bottom-hole pressure for gas wells. So, a general equation was modified based on field observations to obtain more accurate static bottom-hole pressure predictions. For this purpose, a unique adjustable parameter, based on the history matching of wells, has been proposed for each reservoir. The accuracy of this equation was investigated in three Iranian gas reservoir information. Good agreement was obtained between the field observations and this proposed equation. The precision of this method depends on field data, and with increasing numbers of field tests, the model becomes more accurate.

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  1. Badri, S. Nadeau and A. Gbodossou, "A new practical approach to risk management for underground mining project in Quebec", Journal of Loss Prevention in The Process Industries, Vol. 26, pp.  1145-1158, 2013, doi:  https://doi.org/10.1016/J.JLP.2013.04.014.
  2. Woong Shin, Y. Shin and G. W.H.Kim, “Comparison of Risk Assessment for a Nuclear Power Plant Construction Project Based on Analytic Hierarchy Process and Fuzzy Analytic Hierarchy Process", Vol.  04, pp. 157-171, 2016, doi:  https://doi.org/10.4236/JBCPR.2016.43010.
  3. Z. Zeng, H. Qiyao, Y. Zhiming, W. Jia, S.W.  Zhang and Q.Liu, "Risk assessment of sustained casing pressure in gas wells based on the fuzzy comprehensive evaluation method," Journal of Natural Gas Science and Engineering, Vol. 46, pp. 756-763, 2017, doi: https://doi.org/10.1016/J.JNGSE.2017.08.019
  4. W. Meng, J. Huang, B. Wu, Y. Zhu, S. Xu and J. Hao, "Risk Assessment of Deep Foundation Pit Construction Based on Analytic Hierarchy Process and Fuzzy Mathematics," Advances in Civil Engineering pp. 1-12, 2020, doi: https://doi.org/10.1155/2020/8840043.
  5. Topuz and C. A. V. van Gestel,"An approach for environmental risk assessment of engineered nanomaterials using Analytical Hierarchy Process (AHP) and fuzzy inference rules", Environment international, Vol. 92-93, pp. 334-47, 2016, doi: https://doi.org/10.1016/j.envint.2016.04.022.
  6. N. Amar and N. Zeraibi,"A combined support vector regression with firefly algorithm for prediction of bottom hole pressure," SN Applied Sciences, Vol.  2, 2019, doi:  https://doi.org/10.1007/s42452-019-1835-z.
  7. Zhang, S. Wu, W. Zheng and J. Fan, "A dynamic and quantitative risk assessment method with uncertainties for offshore managed pressure drilling phases," Safety Science, Vol. 104, pp. 39-54, 2018, doi: https://doi.org/10.1016/J.SSCI.2017.12.033.
  8. Ma, Y.M. Han, S. Cui, Z. Geng, H. Li and C. Chu,"Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method," Food Control, Vol. 108, 2020, doi: https://doi.org/10.1016/J.FOODCONT.2019.106824.
  9. Wu, L. Zhang, J. Fan and Y. Zhou, "Dynamic risk analysis of hydrogen sulfide leakage for offshore natural gas wells in MPD phases," Process Safety and Environmental Protection , 2019, doi: https://doi.org/10.1016/J.PSEP.2018.12.013.
  10. Khamehchi and A. Bemani. "Prediction of pressure in different two-phase flow conditions: Machine learning applications," Measurement, 2020 [In Persian]. doi: https://doi.org/10.1016/j.measurement.2020.108665
  11. Wang, S.i Li, X. Zhenhao, X. Li, P. Lin and C. Lin, "An interval risk assessment method and management of water inflow and inrush in course of karst tunnel excavation," Tunneling and Underground Space Technology , 2019, doi: https://doi.org/10.1016/J.TUST.2019.103033.
  12. Zhao, H. Geng, J. Zhang, J.F. Xie and K. Wang, "Research on Fast Semi-Quantitative Risk Assessment Method for High Temperature and High Pressure Gas Wells, " World Journal of Engineering and Technology, Vol. 9, pp. 100-108, 2021, doi: https://doi.org/10.4236/WJET.2021.91008.