SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:kth-246564"
 

Search: onr:"swepub:oai:DiVA.org:kth-246564" > Data learning and e...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Fam, Mei LingKTH,Lloyds Register Global Technol Ctr, Singapore, Singapore.;Nanyang Technol Univ, Singapore, Singapore. (author)

Data learning and expert judgment in a bayesian belief network for offshore decommissioning risk assessment

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • CRC Press/Balkema,2018
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-246564
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246564URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • Part of proceedings: ISBN 978-1-351-17466-4, ISBN 978-0-8153-8682-7QC 20190527
  • Decommissioning of offshore facilities involve changing risk profiles at different decommissioning phases. Bayesian Belief networks (BBNs) are used as part of the proposed risk assessment method to capture the multiple interactions of a decommissioning activity. The Bayesian Belief network is structured from the data learning of an accident database and a modification of the BBN nodes to incorporate human factors and barrier performance modelling. The analysis covers one case study of one area of decommissioning operations by extrapolating well workover data to well plugging and abandonment. Initial analysis from well workover data, of a 5-node BBN provided insights on two different levels of severity of an accident, the “Accident” and “Incident” level, and on its respective profiles of the initiating events and the investigation-reported human causes. The initial results demonstrate that the data learnt from the database can be used to structure the BBN, and give insights on how human factors pertaining to well activities can be modelled, and that the relative frequencies can act as initial data input for the proposed nodes. It is also proposed that the integrated treatment of various sources of information (database and expert judgement) through a BBN model can support the risk assessment of a dynamic situation such as offshore decommissioning. 

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • He, X. H.Lloyds Register Global Technol Ctr, Singapore, Singapore. (author)
  • Hilber, Patrik,1975-KTH,Elektroteknisk teori och konstruktion(Swepub:kth)u1sm6ffu (author)
  • Ong, L. S.Nanyang Technol Univ, Singapore, Singapore. (author)
  • Konovessis, D.Singapore Inst Technol, Singapore, Singapore. (author)
  • Tan, H. K.Lloyds Register Global Technol Ctr, Singapore, Singapore. (author)
  • KTHLloyds Register Global Technol Ctr, Singapore, Singapore.;Nanyang Technol Univ, Singapore, Singapore. (creator_code:org_t)

Related titles

  • In:Safety and Reliability - Safe Societies in a Changing World: CRC Press/Balkema, s. 397-406

Internet link

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Fam, Mei Ling
He, X. H.
Hilber, Patrik, ...
Ong, L. S.
Konovessis, D.
Tan, H. K.
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
Articles in the publication
By the university
Royal Institute of Technology

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view