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200120 ||| eng |
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|a 9783319514512
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100 |
1 |
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|a Khamehchi, Ehsan
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245 |
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|a Gas Allocation Optimization Methods in Artificial Gas Lift
|h Elektronische Ressource
|c by Ehsan Khamehchi, Mohammad Reza Mahdiani
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250 |
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|a 1st ed. 2017
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260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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300 |
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|a XII, 46 p. 21 illus
|b online resource
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505 |
0 |
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|a 1. Introduction -- 2. The Fitness Function of Gas Allocation Optimization -- 3. Constraint Optimization -- 4. Optimization Algorithms
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653 |
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|a Geotechnical Engineering & Applied Earth Sciences
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653 |
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|a Geophysics
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653 |
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|a Computational intelligence
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653 |
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|a Fossil fuels
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653 |
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|a Geotechnical engineering
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653 |
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|a Fossil Fuels (incl. Carbon Capture)
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653 |
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|a Computational Intelligence
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653 |
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|a Geophysics/Geodesy
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700 |
1 |
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|a Mahdiani, Mohammad Reza
|e [author]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a SpringerBriefs in Petroleum Geoscience & Engineering
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-51451-2?nosfx=y
|x Verlag
|3 Volltext
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082 |
0 |
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|a 662.6
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520 |
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|a 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 chapter a detailed literature review is included which covers older and important studies as well as recent publications. This book will be of use for production engineers and students interested in gas lift optimization
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