Erzincan University Journal of Science and Technology 2149-4584 Erzincan Binali Yıldırım Üniversitesi 10.18185/erzifbed.1078925 Engineering Mühendislik A Three-stage Hybrid Multi-criteria Model for the Selection of Material for Subsea Pipeline Design Considering Several Environmental Scenario. https://orcid.org/0000-0001-9274-4530 Aikhuele Daniel University of Port Harcourt, Nigeria 12 30 2022 15 3 715 735 02 25 2022 07 07 2022 Copyright © 2008, Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2008 Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Subsea pipelines are such a crucial part of offshore oil and gas production, therefore their design and construction should be as efficient and cost effective as possible. Proper material selection is critical for a successful operation and a longer pipeline lifespan. For the selection of a design material with the highest reliability under dynamic environment as the one obtained in the oil and gas industry, a three-stage hybrid multi-criteria model have been proposed. The hybrid multi-criteria model, which is based on an integrated Analytical Hierarchy Process (AHP) model and the VlseKriterijumskaOptimizacija I KompromisnoResenje (VIKOR) model, is used for the evaluation and selection of a suitable and high reliability-based design material for the subsea pipeline design by considering several operational and environmental scenario the pipes might encounter in the field. With the vast amount of engineering materials available to the design engineer, selecting a suitable and high reliability-based material for the subsea pipeline design is a tedious and demanding task especially under a dynamic environment scenario. In this paper, ten subsea pipeline material alternatives of different types, with seven criteria, have been critically examined under a three case scenario. Results from the evaluation show that, for the first case study scenario -sour service hydrocarbon transport in deep waters-, 22% Cr stainless steel is found to be the best choice material, for the second case study scenario, Carbon Fiber Reinforced Polymer is selected as the best. While for the third case study scenario, carbons steel and polymers material is found to be the most reliable material choice.

 Non-corrosive fluids Aggressive chemicals in deep waters VIKOR model AHP model Aikhuele D.O. Souleman F. S., & Azazi A. (2014). Application of Fuzzy AHP for Ranking Critical Success Factors for the Successful Implementation of Lean Production Technique. Australian Journal of Basic and Applied Sciences, 8(December), 399–407 Aikhuele, D. O. (2019). A hybrid-fuzzy model with reliability-based criteria for selecting consumables used in welding dissimilar aluminum alloys joint. Engineering and Applied Science Research, 46(1), 79–85. https://doi.org/10.14456/easr.2019.10 Anojkumar, L., Ilangkumaran, M., & Sasirekha, V. (2014). Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Systems with Applications, 41(6), 2964–2980. https://doi.org/10.1016/j.eswa.2013.10.028 Askari M., Aliofkhazraei M., Jafari R., Hamghalam P., & Hajizadeh A., (2021). Downhole corrosion inhibitors for oil and gas production – A review. Applied Surface Science Advances, 6(100128), https://doi.org/10.1016/j.apsadv.2021.100128. Dweiri, F., & Oqla, F. M. A. (2006). Material selection using analytical hierarchy process. International Journal of Computer Applications in Technology, 26(4), 182. https://doi.org/10.1504/ijcat.2006.010763 Francis, R., & Byrne, G., (2021). Duplex Stainless Steels—Alloys for the 21st Century. Metals 2021, 11, 836. https://doi.org/10.3390/met1105083 Hastie, J. C., Kashtalyan, M., & Guz, I. A. (2019). Failure analysis of thermoplastic composite pipe (TCP) under combined pressure, tension and thermal gradient for an offshore riser application. International Journal of Pressure Vessels and Piping, 178, 103998. https://doi.org/10.1016/j.ijpvp.2019.103998 Karande, P., & Chakraborty, S. (2012). Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection. Materials & Design, 37, 317–324. Liu, H. C., Liu, L., & Wu, J. (2013). Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights. Materials and Design, 52, 158–167 Mathiyazhagan, K., Gnanavelbabu, A., & Lokesh Prabhuraj, B. (2019). A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches. Journal of Advances in Management Research, 16(2), 234–259. Merayo, D., Rodriguez-Prieto, A., & Camacho, A. M. (2020). Prediction of Physical and Mechanical Properties for Metallic Materials Selection Using Big Data and Artificial Neural Networks. IEEE Access, 8, 13444–13456. Palmer, A. C., & King, R. A. (2008). Subsea pipeline engineering. Tulsa, Okla. Pennwell. Pham, S., Truong, M. & Pham, B. (2017) Flow Assurance in Subsea Pipeline Design for Transportation of Petroleum Products. Open Journal of Civil Engineering, 7, 311-323. doi: 10.4236/ojce.2017.72021. Razavi S. M., Mustaffa, Z., Shafiq, N., & Syed, Z. I. (2014). A Review on Composite Materials for Offshore Structures. Volume 5: Materials Technology; Petroleum Technology. Rajabinezhad, M.; Bahrami, A.; Mousavinia, M.; Seyedi, S.J.; Taheri, P. Corrosion-Fatigue Failure of Gas-Turbine Blades in an Oil and Gas Production Plant. Materials 2020, 13, 900. https://doi.org/10.3390/ma13040900 Renić, T., & Kišiček, T., (2021). Ductility of Concrete Beams Reinforced with FRP Rebars. Buildings 11, no. 9: 424. https://doi.org/10.3390/buildings11090424 Sotoodeh, K. (2018). Analysis and Improvement of Material Selection for Process Piping System in Offshore Industry. American Journal of Mechanical Engineering, 6(1), 17–26. Yazdani, M., & Payam, A. F. (2015). A comparative study on material selection of microelectromechanical systems electrostatic actuators using Ashby, VIKOR and TOPSIS. Materials & Design (1980-2015), 65, 328–334. https://doi.org/10.1016/j.matdes.2014.09.004 Zhang, H., Peng, Y., Tian, G., Wang, D., & Xie, P. (2017). Green material selection for sustainability: A hybrid MCDM approach. PLOS ONE, 12(5), e0177578.