Literature review of oil refineries planning under uncertainty
by Adriana Leiras, Gabriela Ribas, Silvio Hamacher, Ali Elkamel
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 4, No. 2, 2011

Abstract: This paper presents a literature review in the area of refinery planning models with emphasis on the main techniques to deal with optimisation under uncertainty. The studies are classified according to the segment of the oil chain (upstream, midstream, or downstream), planning level (strategic, tactical, or operational), and problem type (LP, NLP, MILP, or MINLP). The works are also categorised as deterministic or stochastic, and it is indicated whether they present an actual application or not. In addition, the stochastic models are further detailed according to the technique to account for uncertainty and the uncertainty factors considered. The conclusions point out to major literature gaps and the research opportunities in the area of refinery planning under uncertainty. [Received: July 10, 2010; Accepted: October 18, 2010]

Online publication date: Thu, 29-Jan-2015

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