Oil and Gas Pipelines Leakage Detection Approaches: A Systematic Review of Literature
Sumayh S. Aljameel, Dina A. Alabbad, Dorieh M. Alomari, Razan Alzannan, Shatha Alismail, Aljwharah Alkhudir, Fatimah Aljubran, Elena Nikolskaya, Atta Rahman
Abstract
In terms of its significance, the oil & gas industry is ranked among the top global industries.Like any other industry, it also faces various problems, such as leakage of oil and gas pipelines.The detection of such leakage in the pipelines is essential for an industry or plant to operate properly and maintain environmental safety as well as to minimize its supply-chain losses.The undergoing study systematically reviews the literature comprising of more than a decade (2010-2021) span to summarize the systems, methods and techniques used in oil & gas pipeline leakage detection.Likewise, this paper investigates effective and low-cost leakage detection systems for oil & gas pipelines with their pros and cons.The existing methods are classified into three categories based on their technical characteristics, named as hardware-based (where some hardware is deployed for monitoring the leakage), software-based (where some software is deployed for monitoring the leakage), and intelligent based (where some intelligent predictive algorithm is deployed for the leakage detection) techniques.Each technique was reviewed according to the datasets used, preprocessing techniques (mainly used in the intelligent based techniques that are based on the imagery such as image preprocessing largely like image enhancement, image denoising and filtering), investigated classifiers' efficiencies, results, and limitations.A comparative analysis was conducted to help determine which technology is best for a given operational environment, that is software, hardware, intelligent or hybrid.Further, the paper highlights the gaps in the research and unresolved concerns regarding the development of dependable pipeline leak detection systems and suggests possible research directions to mitigate it.