Oil Production Optimisation using Piecewise Linear Approximations (MILP): Computational Performance Comparison vs. MINLP Formulation

Emmanuel I. Epelle, Dimitrios I. Gerogiorgis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Typical daily operations of oil and gas production systems are characterised by numerous decisions that must be carefully made if field profitability is to be sustained. These systems are usually nonlinear, nonconvex and involve binary decision variables; hence, the application of mathematical optimisation often results in an MINLP formulation. Piecewise linearisation techniques based on Special Ordered Sets of type 2 (SOS2) constraints have been used to approximate the nonlinear functions of the optimisation problem for complexity reduction. However, a computational analysis of these MILP-based formulations in comparison to their MINLP equivalents in oil production systems is scarce in literature. In this study, the benefits of MILP reformulation are applied to a synthetic but realistic case. In comparing both formulations, we evaluate solution sensitivity to the number of breakpoints, solution time, accuracy, and ease of automation.
Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
Subtitle of host publication30th European Symposium on Computer Aided Process Engineering
EditorsSauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca
PublisherElsevier
Pages1249-1254
Number of pages6
Volume48
ISBN (Print)1570-7946
DOIs
Publication statusPublished - 19 Oct 2020
Event30th European Symposium on Computer Aided Process Engineering - Online, Milan, Italy
Duration: 31 Aug 20202 Sep 2020
https://www.aidic.it/escape30/enter.php

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier
Volume48
ISSN (Print)1570-7946

Conference

Conference30th European Symposium on Computer Aided Process Engineering
Abbreviated titleESCAPE 30
Country/TerritoryItaly
CityMilan
Period31/08/202/09/20
Internet address

Keywords

  • Mixed-integer optimisation
  • piecewise linear approximation
  • oil production

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