Comprehensive assessment of rov systems: An effective approach to analysis of ROV system mobilization risks

Abstract

Remote Operating Vehicles (ROVs) are sophisticated underwater robots that play a vital role in various industries such as deep-sea exploration, oil and gas operations, underwater construction, and scientific research. These ROV systems consist of several components, including the ROV itself, Launch and Recovery Systems (LARS), umbilical cables, tethers, and power generators. Due to their complexity, it is crucial to conduct a thorough risk analysis to identify and mitigate potential hazards associated with ROV operations. This study specifically focuses on the mobilization phase of ROV systems, which involves preparing and deploying the underwater robots. During mobilization, numerous risks can arise, including mechanical or technical failures during transportation, damage to the ROV or its components during handling, and delays or disruptions caused by adverse weather conditions or logistical issues. Safeguarding against these risks is paramount to ensure the safe and successful operation of ROVs. To assess the risks involved in the mobilization process, two hybrid approaches are employed in this study. Both methods utilize the Ordered Weighted Geometric Average (OWGA) for weight distribution in terms of Severity, Detection, and Occurrence. In addition, Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) and Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) are utilized in calculating the Risk Priority Number (RPN). These approaches aim to provide a comprehensive evaluation of the risks associated with ROV mobilization, taking into account various factors and expert opinions. By utilizing these hybrid methodologies, operators and stakeholders can gain a better understanding of the potential risks involved and make informed decisions to mitigate them effectively. In conclusion, the analysis of risks in ROV systems, particularly during the mobilization phase, is crucial for ensuring safe and successful operations. By employing hybrid approaches and incorporating expert opinions, this study aims to enhance risk assessment capabilities and facilitate the implementation of effective risk mitigation strategies in the field of underwater robotics.