An integrated mathematical programming approach for the design and optimisation of offshore fields |
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| Affiliation: | 1. Department of Chemical & Process Engineering, University of Surrey, Guildford, Surrey GU2 7XH, UK;2. Department of Process & Systems Engineering, School of Engineering, Cranfield University, Cranfield MK43 0AL, UK;1. Center of Allergy and Environment (ZAUM), Technical University of Munich and Helmholtz Center Munich, Ingolstädter Landstraße 1, 85764 Munich, Germany;2. Laboratory of Molecular Entomology and Bee Pathology, Ghent University, Krijgslaan 281, 9000 Gent, Belgium;3. Department of Dermatology and Allergy Biederstein, Technical University of Munich, Am Biederstein 29, 80802 Munich, Germany;4. Immunological Engineering, Department of Engineering, Aarhus University, Gustav Wieds Vej 10, 9000 Aarhus C, Denmark;5. Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, Rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg;6. Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis, University of Southern Denmark, Sdr. Boulevard 29, 5000 Odense C, Denmark;7. Department of Dermatology and Allergology, University Medical Center Gießen-Marburg, Justus Liebig University Gießen, Gaffkystraße 14, 35395 Gießen, Germany;8. Allergy Research Group, Department of Dermatology, University Freiburg Medical Center, Hauptstrasse 7, 79104 Freiburg, Germany |
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| Abstract: | The paper presents a systematic methodology for the optimal design and operational management of offshore oil fields. It is comprised of two stages. At the design stage, the optimal production capacity of a main field is determined with an adjacent satellite field and a well drilling schedule. The problem is formulated as a mixed-integer linear programming formulation. Continuous variables represent individual well, jacket and topsides costs. Binary variables are used to select individual wells within a defined field grid. The mathematical formulation is concise and efficient. An MINLP model is proposed for the operational management optimisation of the offshore oilfields. In the latter model, non-linear equations are extensively used to model the pressure drops in pipes and wells for multiphase flow. Non-linear cost equations have been derived for the production costs of each well accounting for the length, the production rate and their maintenance. Operational decisions determine the oil flowrates, the operation/shut-in for each well and the pressures for each point in the piping network. |
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