eprintid: 11803
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/18/03
datestamp: 2023-11-10 03:26:20
lastmod: 2023-11-10 03:26:20
status_changed: 2023-11-10 01:16:10
type: article
metadata_visibility: show
creators_name: Albahri, T.A.
creators_name: Al-Sharrah, G.
creators_name: Khor, C.S.
creators_name: Elkamel, A.
title: Grassroots petroleum refinery configuration for heavy oil processing
ispublished: pub
keywords: Crude oil; Gasoline; Linear programming; Petroleum refineries; Refining; Shape optimization, Atmospheric residues; Computational results; Model based optimization; Multiple operating modes; Process synthesis; Real-world practice; retrofit; revamp, Heavy oil production
note: cited By 3
abstract: This paper presents a model-based optimization approach to design a grassroots petroleum refinery for heavy oil processing including residue treating and upgrading. The focus is to determine an optimal refinery configuration to produce light products from an atmospheric residue stream. The proposed linear model can consider a large number of heavy oil processing technologies (more than 70) including multiple operating modes to arrive at a configuration that meets an objective of maximizing profit or a certain fuel type production. Computational results show trends in agreement with real-world practice for residuum refining applications, thus contributing to substantiating practicality of the approach. © 2018, © 2018 Taylor & Francis Group, LLC.
date: 2019
publisher: Taylor and Francis Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057247829&doi=10.1080%2f10916466.2018.1539754&partnerID=40&md5=1e9a7cbedc217d9cec375ba1a3651d39
id_number: 10.1080/10916466.2018.1539754
full_text_status: none
publication: Petroleum Science and Technology
volume: 37
number: 3
pagerange: 275-281
refereed: TRUE
issn: 10916466
citation:   Albahri, T.A. and Al-Sharrah, G. and Khor, C.S. and Elkamel, A.  (2019) Grassroots petroleum refinery configuration for heavy oil processing.  Petroleum Science and Technology, 37 (3).  pp. 275-281.  ISSN 10916466