Reservoir Characterization of Tight Gas Sandstones

Reservoir Characterization of Tight Gas Sandstones

Exploration and Development

1st Edition - August 10, 2022

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  • Authors: Ali Kadkhodaie, Rahim Kadkhodaie
  • Paperback ISBN: 9780323901802
  • eBook ISBN: 9780323901819

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Description

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

Readership

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

Table of Contents

  • Cover image
  • Title page
  • Table of Contents
  • Copyright
  • Chapter 1. Tight sandstones: overview, distribution, and global significance
  • Abstract
  • 1.1 Introduction
  • 1.2 Unconventional resources’ classification
  • 1.3 Tight gas’s worldwide distribution
  • 1.4 Tight gas accumulation models
  • References
  • Chapter 2. Sedimentary features of tight gas reservoirs
  • Abstract
  • 2.1 Introduction
  • 2.2 Sandstones: from sedimentary characteristics to reservoir properties
  • 2.3 Comparison of depositional facies, environment, and diagenetic characteristics of tight sandstones with conventional sandstones
  • References
  • Further reading
  • Chapter 3. Tight gas sandstones rock typing
  • Abstract
  • 3.1 Introduction
  • 3.2 Rock typing in tight sandstone reservoirs
  • 3.3 Seismic-based rock typing
  • 3.4 Fluid flow and hydraulic rock types in tight gas sandstones
  • 3.5 Classification of tight gas sandstones
  • References
  • Further reading
  • Chapter 4. Pore type and pore size distribution
  • Abstract
  • 4.1 Introduction
  • 4.2 Pore type in tight sandstone reservoirs
  • 4.3 Pore structure characteristics
  • 4.4 Pore system analysis in tight gas sandstone reservoirs
  • 4.5 Wettability
  • 4.6 The effect of overburden stress on porosity and permeability in tight reservoirs
  • 4.7 Pore size reduction by diagenetic processes
  • 4.8 Pore size reduction by formation damage
  • References
  • Further reading
  • Chapter 5. Porosity and permeability evolution
  • Abstract
  • 5.1 Introduction
  • 5.2 Depositional controls
  • 5.3 Diagenetic controls
  • 5.4 Paragenetic sequence
  • 5.5 Burial history
  • 5.6 Reservoir heterogeneity
  • References
  • Further reading
  • Chapter 6. The role of natural fractures in reservoir quality assessment of tight gas sandstones
  • Abstract
  • 6.1 Introduction
  • 6.2 Outcrops and understanding the subsurface natural fractures
  • 6.3 Fractures characterization from borehole Image logs
  • 6.4 Natural fractures classification
  • 6.5 Fractures characterization from seismic data
  • 6.6 Curvature analysis
  • 6.7 The role of natural fractures on tight gas field production
  • 6.8 Mechanical and fracture stratigraphy
  • References
  • Chapter 7. Tight gas petrophysical evaluation
  • Abstract
  • 7.1 Introduction
  • 7.2 Deterministic method
  • 7.3 Probabilistic method
  • 7.4 Permeability
  • References
  • Chapter 8. Artificial intelligence in tight gas reservoirs characterization
  • Abstract
  • 8.1 Introduction
  • 8.2 Machine learning methods
  • 8.3 Artificial intelligence in geological reservoir characterization
  • 8.4 Artificial intelligence in petrophysical properties estimation
  • 8.5 Artificial intelligence in seismic reservoir characterization
  • References
  • Chapter 9. Tight sands reservoir modeling
  • Abstract
  • 9.1 Introduction
  • 9.2 Facies modeling
  • 9.3 Petrophysical modeling
  • 9.4 Example of reservoir modeling for tight gas sandstone reservoirs
  • 9.5 Height function
  • 9.6 Uncertainty analysis
  • References
  • Chapter 10. Geomechanical properties of tight sandstones
  • Abstract
  • 10.1 Introduction
  • 10.2 Rock elastic properties
  • 10.3 Pore pressure in tight gas sandstone reservoirs
  • 10.4 Stress regime analysis
  • 10.5 Principal stresses calculation
  • 10.6 Geomechanical modeling
  • 10.7 Hydraulic fracturing
  • References
  • Chapter 11. Geology knowledge in the engineering applications of tight gas sandstones
  • Abstract
  • 11.1 Introduction
  • 11.2 Geological considerations in exploratory and drilling phase of tight gas sandstones
  • 11.3 Geological considerations in the production and stimulation of tight gas sandstones
  • 11.4 Geological considerations in lifetime surveillance of tight gas sandstones
  • References
  • Index

Product details

  • No. of pages: 276
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: August 10, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780323901802
  • eBook ISBN: 9780323901819

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. He 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 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.

Affiliations and Expertise

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

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