Abstract
For an effective integrity assessment of marine robotic in offshore environments, the elements’ failure characteristics need to be understood. A structured probabilistic methodology is proposed for the operational failure assessment (OFA) characteristics of ROV. The first step is to assess the likely failure mode of the ROV system and its support systems. This captures the interaction and failure induced events during operation. The identified potential failure modes are further developed into logical connectivity based on the cause-effect relationship. The logical framework is modeled using the fault tree analysis technique to predict the ROV operational failure probability in an uncertain harsh environment. The fault tree analysis captured the logical relationship between the primary, intermediate, and top events probability. The importance measure criteria were adopted to identify the most probable events, links, and their importance on the failure propagation. The model was demonstrated with an ROV for deep arctic water subsea operations. The result identified the control system, communication linkages, human factor, among others, as most critical in the ROV operational failure. The methodology’s application provides core information on the Mean time between failure (MTBF) of the ROV system that could aid integrity management and provides a guide on early remedial action against total failure.
Highlights
The increasing oil and gas exploration in the remote harsh environment present safety challenges, such as frequent oil spills, system failure, and environmental toxification
Research showed that the medium ROV had demonstrated accuracy in navigation and resolution imagining in subsea pipeline inspections [1], [4]
The present study presents the application of a deductive graphical probabilistic model for the operational failure analysis of ROV in a harsh offshore environment
Summary
The increasing oil and gas exploration in the remote harsh environment present safety challenges, such as frequent oil spills, system failure, and environmental toxification. The limitations caused by extreme environmental factors have enhanced the development/application of robotic (ROV) technology for offshore operations in harsh environments, especially in the integrity management of critical subsea infrastructures. For inspection-class ROV, which is commonly used for offshore facilities integrity management, it uses a surface user via an umbilical system [1] This aid in providing feedback based on the video signal and transmits scientific data/information to the operator [2]. The IMA employed the Birnbaum and Fussell-Vesely (BAF) measure based on the component performance at a set time and the characterized minimal cut sets These measures help to identify the weak link and the probable failure of common causative factors in the complex ROV structure. The methodology provides key information on the failure characteristics and critical failure events of the ROV for integrity-related decision making
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