Value of information-based inspection planning for offshore structures

Arifian Agusta, Sebastian Thöns, Bernt J. Leira

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Asset integrity and management is an important part of the oil and gas industry especially for existing offshore structures. With declining oil price, the production rate is an important factor to be maintained that makes integrity of the structures one of the main concerns. Reliability based and risk- based inspection (RRBI) constitutes an efficient method to optimize inspection planning. Basing the inspection planning on pre-posterior Bayesian decision analysis and especially a Value of Information analysis allows to explicitly quantify the expected benefits, costs and risks associated with each inspection strategy. A simplified and generic risk-based inspection planning utilizing preposterior Bayesian decision analysis had been proposed by Faber et al. [1] and Straub [2]. This paper provides considerations on the theoretical background and a Value of Information analysisbased inspection planning. The paper will start out with a review of the state-of-art RBI planning procedure based on Bayesian decision theory and its application in offshore structure integrity management. An example of the Value of Information approach is illustrated and it is pointed to further research challenges.

Original languageEnglish
Title of host publicationStructures, Safety and Reliability
PublisherAmerican Society Of Mechanical Engineers (ASME)
ISBN (Electronic)9780791857663
DOIs
Publication statusPublished - 2017 Jan 1
Externally publishedYes
EventASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2017 - Trondheim, Norway
Duration: 2017 Jun 252017 Jun 30

Publication series

NameProceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
Volume3B-2017

Conference

ConferenceASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2017
Country/TerritoryNorway
CityTrondheim
Period2017/06/252017/06/30

Subject classification (UKÄ)

  • Reliability and Maintenance

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