Geophysical Exploration for Hydrocarbon Reservoirs, Geothermal Energy, and Carbon Storage

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 Director of Scientific and Technical Support to Research at Sonatrach’s Central Research and Development Directorate (DC R&D). His research interests include the application of signal processing and pattern recognition techniques in the geosciences.

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.