Advances in risk-based inspection technologies: Mitigating asset integrity challenges in aging oil and gas infrastructure
Independent Researcher, Lagos, Nigeria.
Review
Open Access Research Journal of Multidisciplinary Studies, 2022, 04(01), 140-146.
Article DOI: 10.53022/oarjms.2022.4.1.0089
Publication history:
Received on 07 August 2022; revised on 23 September 2022; accepted on 26 September 2022
Abstract:
Aging oil and gas infrastructure challenges operational reliability, safety, and sustainability. Risk-based inspection (RBI) technologies have emerged as a transformative approach to managing asset integrity by prioritizing inspections based on the likelihood and consequences of failures. This paper explores the evolution of RBI practices, highlighting the transition from traditional methodologies to data-driven systems driven by advanced analytics, real-time monitoring, and predictive modeling. Cutting-edge innovations, such as the integration of the Internet of Things, digital twins, and machine learning, have significantly enhanced the precision and efficiency of RBI processes. Despite these advancements, technical barriers, high implementation costs, and organizational resistance remain key challenges. The paper offers strategic recommendations for operators, regulators, and industry associations to overcome these hurdles and capitalize on opportunities for innovation. Additionally, it outlines future research directions, including the application of artificial intelligence and the adaptation of RBI methodologies to emerging energy systems. The industry can ensure critical infrastructure's safe, efficient, and sustainable management by addressing these challenges and advancing RBI technologies.
Keywords:
Risk-based inspection; Aging infrastructure; Predictive modelling; Digital twins; Machine learning
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0