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02466nam a22005295i 4500 |
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978-3-319-51451-2 |
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20161231113529.0 |
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161231s2017 gw | s |||| 0|eng d |
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|a 9783319514512
|9 978-3-319-51451-2
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|a 10.1007/978-3-319-51451-2
|2 doi
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|d GrThAP
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|a TJ163.13-163.25
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|a TP315-360
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|a THF
|2 bicssc
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|a TEC031030
|2 bisacsh
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|a 662.6
|2 23
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|a Khamehchi, Ehsan.
|e author.
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|a Gas Allocation Optimization Methods in Artificial Gas Lift
|h [electronic resource] /
|c by Ehsan Khamehchi, Mohammad Reza Mahdiani.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XII, 46 p. 21 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Petroleum Geoscience & Engineering,
|x 2509-3126
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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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|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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|a Energy.
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|a Fossil fuels.
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|a Geophysics.
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|a Geotechnical engineering.
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|a Computational intelligence.
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|a Energy.
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|a Fossil Fuels (incl. Carbon Capture).
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|a Geophysics/Geodesy.
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|a Geotechnical Engineering & Applied Earth Sciences.
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|a Computational Intelligence.
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|a Mahdiani, Mohammad Reza.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319514505
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830 |
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|a SpringerBriefs in Petroleum Geoscience & Engineering,
|x 2509-3126
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856 |
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|u http://dx.doi.org/10.1007/978-3-319-51451-2
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENE
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950 |
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|a Energy (Springer-40367)
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