ABSTRACT

This paper discusses different tasks and optimization criteria (e.g., minimum costs, prescribed line pack, maximum flow, etc.) together with optimization methods used in the Slovak gas transmission network. The optimizations are based mainly on dynamic programming and evolutionary algorithms. Specialties of used models (e.g., multilayer network computation, automatic selection of compressor configuration) are emphasized. These specialties and (massive) parallel calculations make the optimization sufficiently precise and quick for daily use.

Keywords:
configuration, bratislava, slovak academy, peter somora, line pack, artificial intelligence, midstream oil & gas, modeling, transmission network, upstream oil & gas
Subjects:
Processing Systems and Design, Pipelines, Flowlines and Risers, Information Management and Systems, Compressors, engines and turbines, Artificial intelligence
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2013. Pipeline Simulation Interest Group
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