Authors: A.M.N.D.B. Seneviratne; R.M. Chandima Ratnayake
Addresses: Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, NO-4036 Stavanger, Norway ' Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, NO-4036 Stavanger, Norway
Abstract: It is necessary to evaluate the risk levels in piping components of offshore production and process facilities (OP&PFs) to investigate potential failures. In an OP&PF, piping plays a vital role within the static mechanical equipment. Inspection planners make recommendations on the thickness measurement locations (TMLs) to be monitored based on: historical data, risk-based inspection (RBI) analysis results, plant inspection strategy guidance, etc. The inspection plans made by inexperienced inspection planners are of poor quality compared to an inspection plan made by an experienced inspection planner. Hence, to mitigate the problem, it is vital to develop expert systems to support inexperienced inspection planners and minimise suboptimal decisions. This manuscript illustrates the use of a fuzzy inference system (FIS) as an expert system for making optimal in-service inspection recommendations based on the current status and trends of TMLs. The proposed FIS enables the expertise of experienced inspection planners to be incorporated via membership functions (MFs) and a rule base, which will maintain the quality of an inspection programme at the intended level.
Keywords: risk levels; risk assessment; fuzzy expert systems; fuzzy logic; in-service inspection; inspection planning; static mechanical equipment; thickness measurement locations; TMLs; fuzzy inference system; FIS; membership functions; technical condition; piping components; offshore production; offshore oil and gas; offshore facilities; process facilities; potential failure.
International Journal of Information and Decision Sciences, 2016 Vol.8 No.2, pp.93 - 108
Published online: 11 May 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article