Mathematics Optimization Models for Downstream and Midstream Petroleum Sectors. Literature Review And Future Research Directions

Jonnathan Rodrigo Morales Corozo, William Giovanny Quitiaquez Sarzosa, Angel Isaac Simbaña Gallardo

Research output: Contribution to journalArticle


This paper presents a literature review on Mixed Integer Linear and Nonlinear Programming (MILP and MINLP, respectively) models applied to the crude oil supply chain, especially in the downstream and midstream sectors. These are responsible for the production, preparation and distribution of end-use hydrocarbons such as gasoline, diesel, jet and liquefied petroleum gas. The objective of this research is to compare several operations research papers, especially those that consider multi-product transportation in the same line. The main focus of the paper is to make an approach to the future direction of research for the petroleum supply chain in the downstream and midstream sectors. Of all the articles analyzed, 32 generate a MILP model, of which 26 model the fuel distribution structure in the downstream sector; there is no evidence of research work on MILP or MINLP models developed in Ecuador. Finally, future lines of research on this topic are discussed, such as the application of MILP for the operational programming of the oil supply chain network in Ecuador. This tool will allow future tactical and operative decision making in an effective way, considering all the variables of the fuel distribution network to satisfy a forecasted demand.
Translated title of the contributionModelos de Optimización Matemática para Sectores Petroleros Downstream y Midstream. Revisión de literatura y futuras direcciones de investigación
Original languageEnglish (US)
Pages (from-to)103-111
Number of pages9
JournalRevista Técnica Energía
Issue number17
StatePublished - 30 Jul 2020


  • Downstream
  • Hydrocarbons
  • Midstream
  • Mixed integer linear programming
  • Supply chain

CACES Knowledge Areas

  • 8145A Logistics and Transportation


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