Gas Allocation Optimization Methods in Artificial Gas Lift
This Brief offers a comprehensive study covering the different aspects of gas allocation optimization in petroleum engineering. It contains different methods of defining the fitness function, dealing with constraints and selecting the optimizer; in each c
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Ehsan Khamehchi Mohammad Reza Mahdiani
Gas Allocation Optimization Methods in Artificial Gas Lift 123
SpringerBriefs in Petroleum Geoscience & Engineering Series editors Dorrik Stow, Heriot-Watt University, Edinburgh, UK Mark Bentley, AGR TRACS Training Ltd, Aberdeen, UK Jebraeel Gholinezhad, University of Portsmouth, Portsmouth, UK Lateef Akanji, University of Aberdeen, Aberdeen, UK Khalik Mohamad Sabil, Heriot-Watt University, Putrajaya, Malaysia Susan Agar, ARAMCO, Houston, USA
The SpringerBriefs series in Petroleum Geoscience & Engineering promotes and expedites the dissemination of substantive new research results, state-of-the-art subject reviews and tutorial overviews in the field of petroleum exploration, petroleum engineering and production technology. The subject focus is on upstream exploration and production, subsurface geoscience and engineering. These concise summaries (50–125 pages) will include cutting-edge research, analytical methods, advanced modelling techniques and practical applications. Coverage will extend to all theoretical and applied aspects of the field, including traditional drilling, shale-gas fracking, deepwater sedimentology, seismic exploration, pore-flow modelling and petroleum economics. Topics include but are not limited to: • • • • • • • • • • • • • • • • • • •
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Ehsan Khamehchi Mohammad Reza Mahdiani •
Gas Allocation Optimization Methods in Artificial Gas Lift
123
Ehsan Khamehchi Faculty of Petroleum Engineering Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran
Mohammad Reza Mahdiani Faculty of Petroleum Engineering Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran
ISSN 2509-3126 ISSN 2509-3134 (electronic) SpringerBriefs in Petroleum Geoscience & Engineering ISBN 978-3-319-51450-5 ISBN 978-3-319-51451-2 (eBook) DOI 10.1007/978-3-319-51451-2 Library of Congress Control Number: 2016961272 © The Author(s) 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction
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