A new failure analysis and validation scheme for shale gas pilot processes

References

• Alaba, E. S., R. A. Kazeem, A. S. Adebayo, M. O. Petinrin, O. M. Ikumapayi, T.-C. Jen, and E. T. Akinlabi. 2023. Evaluation of palm kernel oil as cutting lubricant in turning AISI 1039 steel using Taguchi-grey relational analysis optimization technique. Advances in Industrial and Manufacturing Engineering 6:100115. doi:10.1016/j.aime.2023.100115.
   Google Scholar
• Ayyildiz, E. 2023. Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era. Environmental Science and Pollution Research International 30 (15):42476–94. doi:10.1007/s11356-021-16972-y.
   PubMedGoogle Scholar
• Bakhtiyari, A. N., Y. Wu, L. Wang, Z. Wang, and H. Zheng. 2023. Laser machining sapphire via Si-sapphire interface absorption and process optimization using an integrated approach of the Taguchi method with grey relational analysis. Journal of Materials Research and Technology 24:663–74. doi:10.1016/j.jmrt.2023.02.218.
   Google Scholar
• Chen, Y., H. Wu, Y. Chen, P. Li, and Q. Wang. 2022. Erosion-corrosion coupling analysis of shale gas production pipe. Engineering Failure Analysis 138:106308. doi:10.1016/j.engfailanal.2022.106308.
   Google Scholar
• Chorol, L., and S. K. Gupta. 2023. Evaluation of groundwater heavy metal pollution index through analytical hierarchy process and its health risk assessment via Monte Carlo simulation. Process Safety and Environmental Protection 170:855–64. doi:10.1016/j.psep.2022.12.063.
   Web of Science ®Google Scholar
• Derse, O. 2023. CO2 capture, utilization, and storage (CCUS) storage site selection using DEMATEL-based Grey Relational Analysis and evaluation of carbon emissions with the ARIMA method. Environmental Science and Pollution Research International 30 (6):14353–64. doi:10.1007/s11356-022-23108-3.
   PubMedGoogle Scholar
• Guo, J., Q. Lu, and Y. He. 2023. Key issues and explorations in shale gas fracturing. Natural Gas Industry B 10 (2):183–97. doi:10.1016/j.ngib.2023.02.002.
   Google Scholar
• Işık, A. T., R. Çakıroğlu, and M. Günay. 2023. Multiresponse optimization of performance indicators through Taguchi-grey relational analysis in EDM of cemented carbide. CIRP Journal of Manufacturing Science and Technology 41:490–500. doi:10.1016/j.cirpj.2023.01.012.
   Google Scholar
• Lee, K., J. Lim, D. Yoon, and H. Jung. 2019. Prediction of shale-gas production at duvernay formation using deep-learning algorithm. SPE Journal 24 (06):2423–37. doi:10.2118/195698-PA.
   Google Scholar
• Li, P., B. Anduv, X. Zhu, X. Jin, and Z. Du. 2022. Across working conditions fault diagnosis for chillers based on IoT intelligent agent with deep learning model. Energy and Buildings 268:112188. doi:10.1016/j.enbuild.2022.112188.
   Google Scholar
• Liao, K., Y. Liu, G. He, M. Qin, L. Wang, J. Leng, and X. Jiang. 2023. Shale gas flow carrying liquid in gathering pipeline with different inclination angles. Engineering Failure Analysis 150:107238. doi:10.1016/j.engfailanal.2023.107238.
   Google Scholar
• Liu, E., B. Kou, P. Wu, M. Wang, J. Peng, and Q. Chen. 2022. Performance analysis and structure optimization of shale gas desander. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 24:1–21. doi:10.1080/15567036.2022.2040656.
   Google Scholar
• Liu, B., G. Yan, Y. Ma, and A. Scheuermann. 2023. Measurement of in-situ flow rate in borehole by heat pulse flowmeter: Field-case study and reflection. Geosciences 13 (5):146. doi:10.3390/geosciences13050146.
   Google Scholar
• Meribout, M., A. Azzi, N. Ghendour, N. Kharoua, L. Khezzar, and E. AlHosani. 2020. Multiphase flow meters targeting oil & gas industries. Measurement 165:108111. doi:10.1016/j.measurement.2020.108111.
   Google Scholar
• Mirzaei-Paiaman, A., and S. Salavati. 2013. A new empirical correlation for sonic simultaneous flow of oil and gas through wellhead chokes for Persian oil fields. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 35 (9):817–25. doi:10.1080/15567031003773304.
   Web of Science ®Google Scholar
• Paulson, D., M. Saif, and M. Zishan. 2023. Optimization of wire-EDM process of titanium alloy-Grade 5 using Taguchi’s method and grey relational analysis. Materials Today: Proceedings 72:144–53. doi:10.1016/j.matpr.2022.06.376.
   Google Scholar
• Roy, A., and S. Chakraborty. 2023. Support vector machine in structural reliability analysis: A review. Reliability Engineering & System Safety 233:109126. doi:10.1016/j.ress.2023.109126.
   Google Scholar
• Saleh, B., R. Fathi, M. A. A. Abdalla, N. Radhika, A. Ma, and J. Jiang. 2023. Optimization and characterization of centrifugal-cast functionally graded Al-SiC composite using response surface methodology and grey relational analysis. Coatings 13 (5):813. doi:10.3390/coatings13050813.
   Web of Science ®Google Scholar
• Saranya, T., and S. Saravanan. 2023. Assessment of groundwater vulnerability using analytical hierarchy process and evidential belief function with DRASTIC parameters, Cuddalore, India. International Journal of Environmental Science and Technology 20 (2):1837–56. doi:10.1007/s13762-022-03944-z.
   Google Scholar
• Tong, K., X-l Bai, Z-h Fan, L. Cheng, J-j Lyu, X-l Han, and T-t Qu. 2022. Analysis and investigation of the leakage failure on the shale gas gathering and transmission pipeline. Engineering Failure Analysis 140:106599. doi:10.1016/j.engfailanal.2022.106599.
   Google Scholar
• Vatani, A, et al. 2023. An efficient surrogate model for reliability analysis of the marine structure piles. In Proceedings of the Institution of Civil Engineers-Maritime Engineering, 1–7. Thomas Telford Ltd.
   Google Scholar
• Wu, H., C. Huang, N. Wen, T. Mao, S. Tao, and M. Wang. 2021. Analysis of the corrosion failure causes of shale gas surface pipelines. Materials and Corrosion 72 (12):1908–18. doi:10.1002/maco.202112494.
   Web of Science ®Google Scholar
• Wu, X., H. Zhang, M. Yang, W. Jia, Y. Qiu, and L. Lan. 2022. From the perspective of new technology of blending hydrogen into natural gas pipelines transmission: Mechanism, experimental study, and suggestions for further work of hydrogen embrittlement in high-strength pipeline steels. International Journal of Hydrogen Energy 47(12):8071–90. doi:10.1016/j.ijhydene.2021.12.108.
   Google Scholar
• Xu, S-l., T. Yeyao, and M. Shabaz. 2023. Multi-criteria decision making for determining best teaching method using fuzzy analytical hierarchy process. Soft Computing 27 (6):2795–807. doi:10.1007/s00500-022-07554-2.
   PubMedGoogle Scholar
• Yong, R., J. Wu, H. Huang, E. Xu, and B. Xu. 2022. Complex in situ stress states in a deep shale gas reservoir in the southern Sichuan Basin, China: From field stress measurements to in situ stress modeling. Marine and Petroleum Geology 141:105702. doi:10.1016/j.marpetgeo.2022.105702.
   Web of Science ®Google Scholar
• Yu, S., M. Wang, S. Pang, L. Song, and S. Qiao. 2022. Intelligent fault diagnosis and visual interpretability of rotating machinery based on residual neural network. Measurement 196:111228. doi:10.1016/j.measurement.2022.111228.
   Web of Science ®Google Scholar
• Zhang, W., X. Gu, L. Hong, L. Han, and L. Wang. 2023. Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges. Applied Soft Computing 136:110066. doi:10.1016/j.asoc.2023.110066.
   Google Scholar
• Zhang, N., L. You, Y. Kang, J. Xu, K. Li, Q. Cheng, and Y. Zhou. 2022. The investigation into oxidative method to realize zero flowback rate of hydraulic fracturing fluid in shale gas reservoir. Journal of Petroleum Science and Engineering 209:109918. doi:10.1016/j.petrol.2021.109918.
   Google Scholar