Reservoir Characterization of Tight Gas Sandstones

Exploration and Development
Erscheinungsjahr 2022
ISBN: 978-0-323-90180-2
Verlag: Elsevier - Health Sciences Division

Buch, Englisch, 276 Seiten, Format (B × H): 228 mm x 150 mm, Gewicht: 452 g

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.

Autoren/Hrsg.

Kadkhodaie, Ali

Kadkhodaie, Rahim

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Primärer Sektor Bergbau
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Öl- und Gasindustrie
• Geowissenschaften Geologie Wirtschaftsgeologie
• Technische Wissenschaften Energietechnik | Elektrotechnik Erdölenergietechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Gasenergietechnik

Inhaltsverzeichnis

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. The role of natural fractures in reservoir quality assessment of tight gas sandstones 7. Tight sands petrophysical evaluation 8. Artificial intelligence in tight gas reservoirs characterization 9. Tight sands Reservoir modeling 10. Geomechanical properties of tight sandstones 11. Geological knowledge in the engineering applications of tight gas sandstones

Über Autor(innen)

Kadkhodaie, Ali
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, Rahim
Rahim Kadkhodaie is an assistant professor of Sedimentology and Sedimentary Petrology at the Earth Sciences Department, University of Tabriz, Iran. He received his PhD degree (2011-15) from the Ferdowsi University of Mashhad. For the last 12 years, he has been working as a researcher at the Petroleum Geology Department of the Research Institute of Petroleum Industry (Tehran). His research has mainly focused on the fusion of geological, sedimentological, petrophysical, and seismic data into reservoir static models. Rahim has recently focused on reservoir characterization of unconventional reservoirs, specially tight gas sandstones. To date, Rahim has published more than 30 papers in international journals and conferences.