eprintid: 5373
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/53/73
datestamp: 2023-11-09 16:17:06
lastmod: 2023-11-09 16:17:06
status_changed: 2023-11-09 16:01:27
type: article
metadata_visibility: show
creators_name: Fujita, Y.
creators_name: Goh, K.N.
creators_name: Chen, Y.Y.
creators_name: Naono, K.
title: Estimation of production rate limits using agent-based simulation for oil and gas plants safety
ispublished: pub
keywords: Accidents; Degradation; Gas industry; Gas plants; Oil spills; Public utilities; Risks, Agent based simulation; Oil and gas; Plant worker; Production rates; Risk mitigation, Computer simulation
note: cited By 1; Conference of 9th Conference of the European Social Simulation Association, ESSA 2013 ; Conference Date: 16 September 2013 Through 20 September 2013; Conference Code:105109
abstract: Safe production is one of the most important issues in oil and gas plants. Oil and gas companies lose enormous amounts of money and trust once they experience accidents such as explosions and oil spills. They have to make clear production rate limits to mitigate the human related risks that cause accidents. In this study, we model plant workers using an agent-based simulation to estimate the limits. The proposed model represents that plant workers solve problems with risks, and that the probability of the occurrence of a problem is proportional to three main factors, the production rate, the plant size, and the plant equipment degradation rate. The experimental results show that the proposed model can estimate the limits for different sizes of the three factors. The results imply that the limit estimation made by the proposed model is very crucial for plant operations to mitigate human-related accidents. © Springer-Verlag Berlin Heidelberg 2014.
date: 2014
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901015986&doi=10.1007%2f978-3-642-39829-2_8&partnerID=40&md5=420272154e7931ff8b35344d892f80d9
id_number: 10.1007/978-3-642-39829-2₈
full_text_status: none
publication: Advances in Intelligent Systems and Computing
volume: 229 AI
place_of_pub: Warsaw
pagerange: 83-94
refereed: TRUE
isbn: 9783642398285
issn: 21945357
citation:   Fujita, Y. and Goh, K.N. and Chen, Y.Y. and Naono, K.  (2014) Estimation of production rate limits using agent-based simulation for oil and gas plants safety.  Advances in Intelligent Systems and Computing, 229 AI.  pp. 83-94.  ISSN 21945357