caa a22 4500 445878118 CHVBK 20180317145533.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11081-009-9093-3 doi (NATIONALLICENCE)springer-10.1007/s11081-009-9093-3 Compressor scheduling in oil fields [Elektronische Daten] Piecewise-linear formulation, valid inequalities, andcomputational analysis [Eduardo Camponogara, Melissa de Castro, Agustinho Plucenio, Daniel Pagano] In gas-lifted oil fields, high pressure gas is injected at the bottom of the production tubing of the wells to artificially lift oil to the surface. Lift-gas should enter each well at a certain mass flow and pressure, giving rise to the problem of deciding which compressors (facilities) should be installed and how they supply the demands of the wells (clients). This compressor scheduling is a mixed-integer, nonconvex, nonlinear programming problem that generalizes the standard facility location problem. By piecewise-linearizing the performance curve of each compressor—a function relating output mass flow and discharge pressure, the problem is recast as a mixed-integer linear program. This paper presents this linear reformulation, proposes families of valid inequalities, and reports on results from the application of these inequalities to solve representative instances of the compressor scheduling problem. Springer Science+Business Media, LLC, 2009 Oil industry nationallicence Piecewise linearization nationallicence Nonlinear programming nationallicence Integer programming nationallicence Camponogara Eduardo Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut de Castro Melissa Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut Plucenio Agustinho Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut Pagano Daniel Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 153-174 1389-4420 12:1-2<153 2011 12 11081 https://doi.org/10.1007/s11081-009-9093-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11081-009-9093-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Camponogara Eduardo Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut NATIONALLICENCE 700 1- de Castro Melissa Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut NATIONALLICENCE 700 1- Plucenio Agustinho Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut NATIONALLICENCE 700 1- Pagano Daniel Department of Automation and Systems Engineering, Santa Catarina Federal University, Cx.P. 476, 88040-900, Florianópolis, SC, Brazil aut NATIONALLICENCE 773 0- Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 153-174 1389-4420 12:1-2<153 2011 12 11081 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer