Use of MCDM and AI Techniques for Mechanization of In-Service Inspection Planning ProcessReport as inadecuate




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1 University of Stavanger

Abstract : The in-service inspection planning process for topside piping equipment of aging oil and gas O&G production and process facilities P&PFs involves personnel with different kinds of expertise, experience, and knowledge as well as a vast amount of data and information. To simplify the inspection planning process and increase the quality of an inspection program, various industrial organizations as well as researchers have been developing numerous techniques in an isolated fashion to address the challenges pertaining to different activities involved in the inspection planning process. In order to mechanize the overall inspection process, suitable techniques need to be identified for the different activities carried out in a generic inspection planning process. This manuscript discusses the potential use of multi-criteria decision analysis MCDM and artificial intelligence AI techniques. It also provides evidence about the suitability of AI techniques in relation to fuzzy logic and artificial neural networks for the mechanization of the inspection planning process in a dynamic manner.

Keywords : In-service inspection planning AI techniques MCDM techniques Inspection programs Aging O&G P&PFs





Author: A. Seneviratne - R. Ratnayake -

Source: https://hal.archives-ouvertes.fr/



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