A practical guide to the latest technologies and techniques in subsurface energy exploration
In Geophysical Exploration for Hydrocarbon Reservoirs, Geothermal Energy, and Carbon Storage: New Technologies and AI-based Approaches, distinguished researcher Said Gaci delivers a practice-oriented overview and comparison of the concepts, methods, and workflows for the geophysical characterization of hydrocarbon and geothermal reservoirs, including those reservoirs suitable for large-scale carbon sequestration.
Organized into four parts, the book begins with a summary of novel petroleum exploration technologies and discussions of illustrative case studies from around the world. It then explains how to integrate seismic and other non-invasive surveying methods for a comprehensive multiscale reservoir characterization. The third part explores the implementation of artificial intelligence tools in remote exploration, rock typing, and fluid prediction. The final part demonstrates how to apply hydrocarbon exploration methods to the exploration and development of geothermal reservoirs and underground carbon dioxide storage sites.
Readers will find:
- A multidisciplinary approach to combining conventional hydrocarbon exploration techniques with the power of artificial intelligence
- A thorough understanding of subsurface reservoir systems that links recent technical advances with new geological insights
- Practice-oriented discussions of advanced technologies for non-invasive reservoir characterization
- Selected case studies that illustrate the application of novel concepts in a real-world setting
Perfect for geologists, geoengineers, geophysicists, and fossil fuel professionals, Geophysical Exploration for Hydrocarbon Reservoirs, Geothermal Energy, and Carbon Storage will also benefit anyone aiming to remain at the forefront of subsurface energy exploration in the twenty-first century.
Preface
About the Book
Section I: New Technologies and insights into Petroleum Exploration
Chapter 1: Gas Seepage in Marginal Structures as Additional Shallow and Deep
Hydrocarbon Systems Indicator (Some of Recent FR Scanning Results), Valery
Soloviev, Mykola Yakymchuk, and Ignat Korchagin
Chapter 2: The Role of the LVZ and of Increased Seismicity in the
Localization of Abiogenic HC in the Crystalline Cructal Coast of
Zakarpatya), Valeriy Korchin, and Elena Karnaukhova
Chapter 3: Precambrian Mid-Continent Rift Potential for Hosting Numerous
Helium and Hydrogen Accumulations, Central USA, Steven A. Tedesco
Chapter 4: Production from Desmoinesian and Atokan Age Coalbed Methane and
Carbonaceous Mudstone and Their Relationship to Structure and Geologic
History of the Cherokee Basin, Kansas and Oklahoma, USA, Steven A. Tedesco
Chapter 5: Geophysical Research and Monitoring Within the Framework of a
Block-Layered Model with Inclusions of a Hierarchical Structure, Olga Hachay
and Khachay Andrey
Section II: Reservoir Characterization Concepts and Workflows
Chapter 6: A Review on Shear Wave Velocity Estimation Methods, Said Gaci and
Mohammed Farfour
Chapter 7: Geomechanics in Petroleum Exploration, Development and Energy
Transition, Ghoulem Ifrene, and Kuldeep Singh
Chapter 8: Size Scaling and Spatial Clustering of Natural Fracture Networks
Using Fractal Analysis, , Sofiane Djezzar and Aldjia Boualam
Chapter 9: Application of Seismic Attributes on Digital Elevation Model:
Fractures Detection and Reservoir Implication, Sofiane Djezzar and Aldjia
Boualam
Chapter 10: Structural Analysis and Fracture Kinematics Using Seismic 2D and
Geological Maps, Sofiane Djezzar and Aldjia Boualam
Chapter 11: A New Method for Reservoir Fracture Characterization and
Modeling Using Surface Analog, Sofiane Djezzar and Aldjia Boualam
Chapter 12: An Integrated Workflow for Multiscale Fracture Analysis in
Reservoir Analog, Sofiane Djezzar and Aldjia Boualam
Section III: Artificial Intelligence Applied to Reservoir Characterization
Chapter 13: Exploring the Depths: Satellite Image Processing and Artificial
Intelligence in the Oil and Gas Industry, Hasna Yazid, and Said Gaci
Chapter 14: Modern AI Usage in the Oil and Gas Industry for Reservoir
Characterization and Lithofacies Forecasting (Rock Typing), Hasna Yazid, Said
Gaci and Mohammed Farfour
Chapter 15: Logging-Data-Driven Fluid Prediction in Clastic Reservoir Based
on Fractal Attributes and Machine Learning Methods, Abdelbasset Boulassel,
Soraya Makhlouf, Fethi Ali Cheddad, Badis Zegagh, Salah Boufenchouche, Amar
Boudella, Naima Zaourar, Said Gaci
Chapter 16: Unlocking Deeper Insights: Using Machine Learning to Predict
Dynamic Shear Wave Slowness from Well Logs, Abdelbasset Boulassel, Soraya
Makhlouf, Badis Zegagh, Salah Boufenchouche, Fethi Ali Cheddad, Amar
Boudella, Naima Zaourar, Said Gaci
Section IV: Energy transition: New Perspectives on Geothermal Energy
Exploration and Development and CO2 sequestration
Chapter 17: Energy Transition and the Role of AI: Statistics, Trends, and
Implications, Said Gaci, Hasna Yazid, Aziz Khelalef, and Mohammed Farfour
Chapter 18: On the Importance of Integrating Geomodelling in Geothermal
Studies, Mohamed Amrouche
Chapter 19: Technological Advancements, Challenges and Outlook of Geothermal
Reservoir Operations, Ghoulem Ifrene, Singh Kuldeep, and William Gosnold
Chapter 20: Reservoir Characterization and Multiscale Mineralogical,
Geomechanical, and Petrophysical Analyses of a CO2 Storage Aquifer:
Application for CCS Projects in North Dakota, Aimen Laalam, Ahmed Merzoug,
and Hichem Aymen Katib Chellal
Chapter 21: Anthropogenic Carbon Sequestration into the Subsurface: Caveats
and Pitfalls, Steven A. Tedesco
Said Gaci, PhD, is the Department Head for Geology, Geophysics & Reservoir at the Algerian Petroleum Institute Boumerdes School. His research interests include the application of signal processing and pattern recognition techniques in the geosciences.
