A computational analysis of multidimensional piecewise-linear models with applications to oil production optimization

Thiago Lima Silva and Eduardo Camponogara

European Journal of Operational Research, 2014, vol. 232, issue 3, 630-642

Abstract: Production optimization of gas-lifted oil wells under facility, routing and pressure constraints is a challenging problem, which has attracted the interest of operations engineers aiming to drive economic gains and scientists for its inherent complexity. The hardness of this problem rests on the non-linear characteristics of the multidimensional well-production and pressure-drop functions, as well as the discrete routing decisions. To this end, this work develops several formulations in Mixed-Integer Linear Programming (MILP) using multidimensional piecewise-linear models to approximate the non-linear functions with domains spliced in hypercubes and simplexes. Computational and simulation analyses were performed considering a synthetic but realistic oil field modeled with a multiphase-flow simulator. The purpose of the analyses was to assess the relative performance of the MILP formulations and their impact on the simulated oil production.

Keywords: OR in energy; Integer programming; Multidimensional functions; Piecewise linearization; Oil production; Pressure constraints (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:232:y:2014:i:3:p:630-642

DOI: 10.1016/j.ejor.2013.07.040

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