Exploration and Development
E-Book, Englisch, 276 Seiten
ISBN: 978-0-323-90181-9
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark
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. - 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
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. He now serves as the Associate Editor of Journal of Petroleum Science and Engineering.
Kadkhodaie
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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. He now serves as the Associate Editor of Journal of Petroleum Science and Engineering.
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