Application of Quantitative Multi-attribute Decision-making Technology in Offshore Decommissioning

Li, Y; Hu, Z; Hu, Z

doi:10.1049/icp.2024.0150

Application of Quantitative Multi-attribute Decision-making Technology in Offshore Decommissioning

Lookup NU author(s): Dr Yihong Li, Professor Zhiqiang Hu

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Abstract

© The Institution of Engineering & Technology 2023. For years, offshore oil and gas resources have been extensively exploited across the globe. As a result, many facilities have reached the end of their useful lives and require decommissioning. However, the offshore industry has long been faced with the challenge of determining the best decommissioning methods, given the limitations imposed by regulations, technologies, costs, potential risks, and environmental impacts. This research aims to address this issue by developing a multi-attribute quantitative evaluation system called MADM-Q (Multi-attribute Decision Making-Quantitative). This system is designed to provide decision-makers with reliable quantitative evaluations during the engineering planning stage, allowing them to select the most suitable decommissioning options. By inputting only the basic information of the offshore facility and its location, the system can quickly generate a basic engineering cost range and the Individual Risk Per Annum (IRPA) value of the project. The system is composed of three modules: Engineering Cost Assessment System (ECAS), Hierarchical Analyst Domino Evaluation System (HADES), and Composite Impact Assessment System (CIAS). The methods employed in this system are rooted in physics and general-purpose industrial formulas. Furthermore, the system can be easily adapted for use in different regions of the world by adjusting commercial data based on the specific region.