Reservoir Characterization of Tight Gas Sandstones

Reservoir Characterization of Tight Gas Sandstones

Exploration and Development

1st Edition - August 1, 2022

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  • Authors: Ali Kadkhodaie, Rahim Kadkhodaie
  • Paperback ISBN: 9780323901802

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Reservoir Characterization of Tight Gas Sandstones: Exploration and Development is essential reading for those working in oil and gas exploration (both in industry and academia) as it contains chapters that help them further understand all aspects of tight gas reservoirs. In this book, experts in industry and academia update readers on new methods of tight gas reservoir modeling and evaluation. As there are very limited published books in the field of tight sandstones, this book will benefit readers by making them familiar with state-of-art methods of tight gas sandstones characterization and evaluation.

Key Features

  • Features case studies from countries with considerable tight gas sandstones such as the United States, China, Canada and Australia
  • Includes recent developments in sedimentological, petrophysical, reservoir modeling and fracking technologies of tight gas sandstone reservoirs
  • Covers applications for the characterization and evaluation of tight sandstones for the methodologies presented


Petroleum Industry: Geology, Petrophysics, Reservoir Engineering divisions Universities: Geology & Geophysics Departments, Petroleum Engineering Departments. Sedimentologists, reservoir geophysicists and Geologists in general

Table of Contents

  • 1. Introduction
    2. Sedimentary features of tight gas reservoirs
    3. Tight sands rock typing
    4. Pore type and pore size distribution
    5. Porosity and permeability evolution
    6. Tight sands petrophysical evaluation
    7. Artificial intelligence in tight gas reservoirs characterization
    8. Tight sands Reservoir modeling
    9. Geomechanical properties of tight sandstones
    10. Geology knowledge in the engineering applications of tight gas sandstones

Product details

  • No. of pages: 284
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: August 1, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780323901802

About the Authors

Ali Kadkhodaie

Ali Kadkhodaie is an Associate Professor of Petroleum Geology at the Earth Sciences Department, University of Tabriz. He received his Ph.D. degree (2005-2009) from the University of Tehran. From 2015 to 2017 Ali joined the Department of Petroleum Engineering at Curtin University of Australia as a Research Associate. His research has mainly focused on the application of artificial intelligence and machine learning techniques in the fusion of reservoir rock properties and seismic reservoir characterization. To date, Ali has published more than 100 scientific papers in international journals. He has supervised more than 200 masters and Ph.D. students in the upstream sector of the petroleum industry. His now serves as the Associate Editor of Journal of Petroleum Science and Engineering.

Affiliations and Expertise

Associate Professor, Earth Sciences Department, University of Tabriz, Iran

Rahim Kadkhodaie

Rahim Kadkhodaie is currently a reservoir modeler at Research Institute of Petroleum Industry (Tehran). He received his Ph.D. degree (2011-2015) from the Ferdowsi University of Mashad. From 2010 Rahim joined the Department of Geology of Research Institute of Petroleum Industry. His research has mainly focused on the fusion of geological, sedimentological, petrophysical and seismic data into reservoir static models. To date, Rahim has published more than 30 papers in international journals & conferences. He also has teaching and research experiences with the graduate and post-graduate students at University of Tabriz.

Affiliations and Expertise

Reservoir Modeler, Research Institute of Petroleum, Iran

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