short-term operational planning model for natural gas production systems

A short-term operational planning model for natural gas production systems can help identify a consistent operational policy that satisfies contractual rules and customer specifications. Formulating and solving such a model poses challenges due to nonlinear pressure-flowrate relations, a multicommod...

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Veröffentlicht in:AIChE journal Jg. 54; H. 2; S. 495 - 515
Hauptverfasser: Selot, Ajay, Kuok, Loi Kwong, Robinson, Mark, Mason, Thomas L, Barton, Paul I
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.02.2008
Wiley Subscription Services
American Institute of Chemical Engineers
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ISSN:0001-1541, 1547-5905
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Zusammenfassung:A short-term operational planning model for natural gas production systems can help identify a consistent operational policy that satisfies contractual rules and customer specifications. Formulating and solving such a model poses challenges due to nonlinear pressure-flowrate relations, a multicommodity network and complex production-sharing contracts (PSC). A production allocation model is presented that can be viewed as a contractual model superimposed on an infrastructure model. The infrastructure model incorporates nonlinear pressure-flowrate relationships for wells and pipelines, multiple qualities of gas in the trunkline network and models of facilities. The contractual model is a mathematical representation of the PSC and associated operational rules. The model features are inspired by the Sarawak Gas Production System (SGPS) in East Malaysia. A case study similar to the Sarawak Gas Production System (SGPS) is presented. The final formulation is a nonconvex mixed-integer nonlinear program and is solved with GAMS/BARON to global optimality. A hierarchical multiobjective operational study is also presented. © 2007 American Institute of Chemical Engineers AIChE J, 2008
Bibliographie:http://dx.doi.org/10.1002/aic.11385
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ISSN:0001-1541
1547-5905
DOI:10.1002/aic.11385