TY - GEN
T1 - Use of MCDM and AI Techniques for Mechanization of In-Service Inspection Planning Process
AU - Seneviratne, A. M.N.D.B.
AU - Ratnayake, R. M.Chandima
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - AI techniques
KW - Aging O&G P&PFs
KW - In-service inspection planning
KW - Inspection programs
KW - MCDM techniques
UR - https://www.scopus.com/pages/publications/84906930942
U2 - 10.1007/978-3-662-44733-8_33
DO - 10.1007/978-3-662-44733-8_33
M3 - Conference contribution
AN - SCOPUS:84906930942
SN - 9783662447321
T3 - IFIP Advances in Information and Communication Technology
SP - 264
EP - 271
BT - Advances in Production Management Systems
PB - Springer New York LLC
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2014
Y2 - 20 September 2014 through 24 September 2014
ER -