Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network

Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network

Billions of barrel of oil and gas are consumed around the world daily and these oil and gas are being mainly transported and distributed through pipelines.

Saved in:
Bibliographic Details
Main Authors: Alaw, Fares Ahmed, Nurul Sa'aadah, Sulaiman, Tan, Hendry
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2018
Subjects:
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/22600/1/Incorporation%20of%20Human%20Factors%20in%20Risk%20Analysis%20of%20Oil%20and%20Gas%20Pipeline%20Using%20Bayesian.pdf
http://umpir.ump.edu.my/id/eprint/22600/
http://jceib.ump.edu.my/index.php/en/volume-4/77-incorporation-of-human-factors-in-risk-analysis-of-oil-and-gas-pipeline-using-bayesian-network
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Pahang Al-Sultan Abdullah
Language: English
id my.ump.umpir.22600
record_format eprints
spelling my.ump.umpir.226002018-11-12T02:42:53Z http://umpir.ump.edu.my/id/eprint/22600/ Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network Alaw, Fares Ahmed Nurul Sa'aadah, Sulaiman Tan, Hendry TP Chemical technology Billions of barrel of oil and gas are consumed around the world daily and these oil and gas are being mainly transported and distributed through pipelines. Universiti Malaysia Pahang 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22600/1/Incorporation%20of%20Human%20Factors%20in%20Risk%20Analysis%20of%20Oil%20and%20Gas%20Pipeline%20Using%20Bayesian.pdf Alaw, Fares Ahmed and Nurul Sa'aadah, Sulaiman and Tan, Hendry (2018) Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network. Journal of Chemical Engineering and Industrial Biotechnology (JCEIB), 4. pp. 1-9. ISSN 0126-8139. (Published) http://jceib.ump.edu.my/index.php/en/volume-4/77-incorporation-of-human-factors-in-risk-analysis-of-oil-and-gas-pipeline-using-bayesian-network DOI: https://doi.org/10.15282/JCEIB-V4-01.30/9/2018/4.4
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Alaw, Fares Ahmed
Nurul Sa'aadah, Sulaiman
Tan, Hendry
Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network
description Billions of barrel of oil and gas are consumed around the world daily and these oil and gas are being mainly transported and distributed through pipelines.
format Article
author Alaw, Fares Ahmed
Nurul Sa'aadah, Sulaiman
Tan, Hendry
author_facet Alaw, Fares Ahmed
Nurul Sa'aadah, Sulaiman
Tan, Hendry
author_sort Alaw, Fares Ahmed
title Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network
title_short Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network
title_full Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network
title_fullStr Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network
title_full_unstemmed Incorporation of Human Factors in Risk Analysis of Oil and Gas Pipeline Using Bayesian Network
title_sort incorporation of human factors in risk analysis of oil and gas pipeline using bayesian network
publisher Universiti Malaysia Pahang
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22600/1/Incorporation%20of%20Human%20Factors%20in%20Risk%20Analysis%20of%20Oil%20and%20Gas%20Pipeline%20Using%20Bayesian.pdf
http://umpir.ump.edu.my/id/eprint/22600/
http://jceib.ump.edu.my/index.php/en/volume-4/77-incorporation-of-human-factors-in-risk-analysis-of-oil-and-gas-pipeline-using-bayesian-network
_version_ 1822920398729117696

Similar Items