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Gas Allocation Optimization Methods in Artificial Gas Lift

  • Book
  • © 2017

Overview

Authors:
  1. Ehsan Khamehchi

    1. Faculty of Petroleum Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

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  2. Mohammad Reza Mahdiani

    1. Faculty of Petroleum Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Petroleum Geoscience & Engineering (BRIEFSPGE)

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-xii
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  2. An Introduction to Gas Lift

    • Ehsan Khamehchi, Mohammad Reza Mahdiani
    Pages 1-5

  3. The Fitness Function of Gas Allocation Optimization

    • Ehsan Khamehchi, Mohammad Reza Mahdiani
    Pages 7-23

  4. Constraint Optimization

    • Ehsan Khamehchi, Mohammad Reza Mahdiani
    Pages 25-34

  5. Optimization Algorithms

    • Ehsan Khamehchi, Mohammad Reza Mahdiani
    Pages 35-46
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About this book

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.

Authors and Affiliations

  • Faculty of Petroleum Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Ehsan Khamehchi, Mohammad Reza Mahdiani

About the authors

Ehsan Khamehchi received his Ph.D. from Amirkabir University of Technology (AUT) in Chemical Engineering with emphasis on Petroleum Production Optimization in 2009. He received his M.Sc. degree in Reservoir Engineering and his B.Sc. degree in Exploration Engineering from AUT in 2005 and 2003, respectively. He has been working as an Associate Professor in the Faculty of Petroleum Engineering at AUT since 2010 and his expertise includes Artificial Lift Optimization (ALO), Production Engineering (PE) and Artificial Intelligence (AI). He is a member of the Society of Petroleum Engineering (SPE) and the European Association of Geoscientists and Engineers (EAGE).



Mohammad Reza Mahdiani is now a PhD candidate in Amirkabir University of Technology in Iran in Petroleum Engineering. He received his M.Sc. and B.Sc. degrees in reservoir engineering in Amirkabir University of Technology (2013) and Petroleum University of Technology (2011). His expertise includes production optimization and has written some papers and books in this area. He is also a member of the Society of Petroleum Engineering (SPE).

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