{"product_id":"geophysical-exploration-for-hydrocarbon-reservoirs-geothermal-energy-and-carbon-storage-new-technologies-and-ai-based-approaches-hardback-9781394261536","title":"Geophysical Exploration for Hydrocarbon Reservoirs, Geothermal Energy, and Carbon Storage; New Technologies and AI-based Approaches (Hardback) 9781394261536","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eGeophysical Exploration for Hydrocarbon Reservoirs, Geothermal Energy, and Carbon Storage\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eNew Technologies and AI-based Approaches\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eSaid Gaci (Edited by), Gaci (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394261536, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 9 October 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e528 pages\u003cbr\u003e26.3 x 18.5 x 3.3 cm, 1.247 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eA practical guide to the latest technologies and techniques in subsurface energy exploration\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eIn \u003ci\u003eGeophysical Exploration for Hydrocarbon Reservoirs, Geothermal Energy, and Carbon Storage: New Technologies and AI-based Approaches,\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003eOrganized 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. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eReaders will find:\u003c\/b\u003e \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eA multidisciplinary approach to combining conventional hydrocarbon exploration techniques with the power of artificial intelligence\u003c\/li\u003e\n\u003cli\u003eA thorough understanding of subsurface reservoir systems that links recent technical advances with new geological insights\u003c\/li\u003e\n\u003cli\u003e Practice-oriented discussions of advanced technologies for non-invasive reservoir characterization\u003c\/li\u003e\n\u003cli\u003eSelected case studies that illustrate the application of novel concepts in a real-world setting\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for geologists, geoengineers, geophysicists, and fossil fuel professionals, \u003ci\u003eGeophysical Exploration for Hydrocarbon Reservoirs, Geothermal Energy, and Carbon Storage\u003c\/i\u003e will also benefit anyone aiming to remain at the forefront of subsurface energy exploration in the twenty-first century.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eList of Contributors xvii\u003c\/p\u003e \u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003eAbout the Book xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection I New Technologies and Insights into Petroleum Exploration 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Gas Seepage in Marginal Structures as Additional Shallow and Deep Hydrocarbon Systems Indicator (Some of Recent FR Scanning Results) 3\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eValery Soloviev, Mykola Yakymchuk, Ignat Korchagin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 General Principles and Methods 4\u003c\/p\u003e \u003cp\u003e1.3 Gas Fluids as Additional Hydrocarbon Processes Indicator in Some Continental Margin Structures 4\u003c\/p\u003e \u003cp\u003e1.4 Conclusions 24\u003c\/p\u003e \u003cp\u003eAuthor Contributions 24\u003c\/p\u003e \u003cp\u003eConflict of Interests 25\u003c\/p\u003e \u003cp\u003eReferences 25\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The Role of the LVZ and of Increased Seismicity in the Localization of Abiogenic HC in the Crystalline Crust of Transcarpathia 29\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eValeriy Korchin, Elena Karnaukhova\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 29\u003c\/p\u003e \u003cp\u003e2.2 Basic Principles of Petrophysical Thermobaric Modeling 30\u003c\/p\u003e \u003cp\u003e2.3 Influence of �-Regimes on the Elastic Characteristics and Density of Rocks 30\u003c\/p\u003e \u003cp\u003e2.4 The LVZs in the Crystalline Crust as Zones of Increased Porosity of Mineral Matter 34\u003c\/p\u003e \u003cp\u003e2.5 A Comparison of Experimental Data and Geophysical Observations 36\u003c\/p\u003e \u003cp\u003e2.6 Geological Interpretation of the PTBM Results 37\u003c\/p\u003e \u003cp\u003e2.7 The Nature of LVZ along the DSS Profile (RP-17) Using the PTBM Methodology 39\u003c\/p\u003e \u003cp\u003e2.8 Elastic Characteristics of the Mineral Substance along the DSS Profile (RP-17) 42\u003c\/p\u003e \u003cp\u003e2.9 Conclusions 44\u003c\/p\u003e \u003cp\u003eReferences 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Precambrian Mid-Continent Rift Potential for Hosting Numerous Helium and Hydrogen Accumulations, Central USA 49\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSteven A. Tedesco\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 50\u003c\/p\u003e \u003cp\u003e3.2 The Formation of the Mid-Continent Rift System 51\u003c\/p\u003e \u003cp\u003e3.3 Geology 52\u003c\/p\u003e \u003cp\u003e3.4 Wells of Interest 57\u003c\/p\u003e \u003cp\u003e3.5 Trap and Seal 59\u003c\/p\u003e \u003cp\u003e3.6 Gravity\/Magnetics 61\u003c\/p\u003e \u003cp\u003e3.7 Seismic 62\u003c\/p\u003e \u003cp\u003e3.8 Oil and Gas Exploration and Production 64\u003c\/p\u003e \u003cp\u003e3.9 Iron and Base Metals 65\u003c\/p\u003e \u003cp\u003e3.10 Impact Craters 65\u003c\/p\u003e \u003cp\u003e3.11 Helium 65\u003c\/p\u003e \u003cp\u003e3.12 Hydrogen 67\u003c\/p\u003e \u003cp\u003e3.13 Summary 70\u003c\/p\u003e \u003cp\u003eReferences 70\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 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 73\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSteven A. Tedesco\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 73\u003c\/p\u003e \u003cp\u003e4.2 Geology 75\u003c\/p\u003e \u003cp\u003e4.3 Production 79\u003c\/p\u003e \u003cp\u003e4.4 Drilling and Completion Methods 84\u003c\/p\u003e \u003cp\u003e4.5 Jefferson-Sycamore Area 85\u003c\/p\u003e \u003cp\u003e4.6 Discussion 91\u003c\/p\u003e \u003cp\u003eReferences 97\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Geophysical Research and Monitoring Within the Framework of a Block-Layered Model with Inclusions of a Hierarchical Structure 99\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eOlga Hachay, Andrey Khachay\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Review 99\u003c\/p\u003e \u003cp\u003e5.2 Conclusions 102\u003c\/p\u003e \u003cp\u003eReferences 102\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection II Reservoir Characterization Concepts and Workflows 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 A Review on Shear Wave Velocity Estimation Methods 107\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSaid Gaci, Mohammed Farfour\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 107\u003c\/p\u003e \u003cp\u003e6.2 Empirical Relationships for Estimating S-Wave Velocity 108\u003c\/p\u003e \u003cp\u003e6.3 Intelligent Systems for Estimating S-Wave Velocity 111\u003c\/p\u003e \u003cp\u003e6.4 Rock Physics Models for Estimating S-Wave Velocity 113\u003c\/p\u003e \u003cp\u003e6.5 Example 116\u003c\/p\u003e \u003cp\u003e6.6 Conclusions 119\u003c\/p\u003e \u003cp\u003eReferences 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Geomechanics in Petroleum Exploration, Development, and Energy Transition 125\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eGhoulem Ifrene, Kuldeep Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 125\u003c\/p\u003e \u003cp\u003e7.2 Role of Geomechanics in Exploration and Development 126\u003c\/p\u003e \u003cp\u003e7.3 Enhancing Reservoir Performance Through Geomechanics 130\u003c\/p\u003e \u003cp\u003e7.4 Predictive Analyses and Production Optimization 131\u003c\/p\u003e \u003cp\u003e7.5 Unconventional Hydrocarbon Reservoirs and Geomechanics 134\u003c\/p\u003e \u003cp\u003e7.6 Geomechanics in Geological Carbon Storage 140\u003c\/p\u003e \u003cp\u003e7.7 Geomechanics of Hydrogen Storage and Production 145\u003c\/p\u003e \u003cp\u003e7.8 Conclusions 149\u003c\/p\u003e \u003cp\u003eReferences 150\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Size Scaling and Spatial Clustering of Natural Fracture Networks Using Fractal Analysis 161\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSofiane Djezzar, Aldjia Boualam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 161\u003c\/p\u003e \u003cp\u003e8.2 Geological Settings 162\u003c\/p\u003e \u003cp\u003e8.3 Methods and Approaches 163\u003c\/p\u003e \u003cp\u003e8.4 Fractal Analysis 164\u003c\/p\u003e \u003cp\u003e8.5 Conclusions 178\u003c\/p\u003e \u003cp\u003eReferences 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Application of Seismic Attributes on Digital Elevation Model: Fractures Detection and Reservoir Implication 185\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSofiane Djezzar, Aldjia Boualam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 185\u003c\/p\u003e \u003cp\u003e9.2 Problematic 186\u003c\/p\u003e \u003cp\u003e9.3 Workflow and Methodology 187\u003c\/p\u003e \u003cp\u003e9.4 Fault Detection Techniques 190\u003c\/p\u003e \u003cp\u003e9.5 Fault Analysis 191\u003c\/p\u003e \u003cp\u003e9.6 Fracture Intensity and Density Analysis 196\u003c\/p\u003e \u003cp\u003e9.7 Fracture Connectivity, Permeability, and Wavelet Analysis 197\u003c\/p\u003e \u003cp\u003e9.8 Discussion 199\u003c\/p\u003e \u003cp\u003e9.9 Conclusions 200\u003c\/p\u003e \u003cp\u003eReferences 201\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Structural Analysis and Fracture Kinematics Using Seismic 2D and Geological Maps 205\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSofiane Djezzar, Aldjia Boualam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 205\u003c\/p\u003e \u003cp\u003e10.2 Material and Methods 206\u003c\/p\u003e \u003cp\u003e10.3 Geological Settings 207\u003c\/p\u003e \u003cp\u003e10.4 Gravity Data 208\u003c\/p\u003e \u003cp\u003e10.5 Structural Analysis 210\u003c\/p\u003e \u003cp\u003e10.6 Seismic Data Analysis 212\u003c\/p\u003e \u003cp\u003e10.7 Fault Analysis 216\u003c\/p\u003e \u003cp\u003e10.8 Conclusions 217\u003c\/p\u003e \u003cp\u003eReferences 218\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 A New Method for Reservoir Fracture Characterization and Modeling Using Surface Analog 221\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSofiane Djezzar, Aldjia Boualam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 221\u003c\/p\u003e \u003cp\u003e11.2 Methodology 222\u003c\/p\u003e \u003cp\u003e11.3 Geological Background 223\u003c\/p\u003e \u003cp\u003e11.4 Material and Methods 224\u003c\/p\u003e \u003cp\u003e11.5 Data Analysis 225\u003c\/p\u003e \u003cp\u003e11.6 3D Fracture Models 232\u003c\/p\u003e \u003cp\u003e11.7 Discussion and Conclusions 233\u003c\/p\u003e \u003cp\u003eReferences 235\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 An Integrated Workflow for Multiscale Fracture Analysis in Reservoir Analog 237\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSofiane Djezzar, Aldjia Boualam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 237\u003c\/p\u003e \u003cp\u003e12.2 Geological Background 238\u003c\/p\u003e \u003cp\u003e12.3 Material and Method 240\u003c\/p\u003e \u003cp\u003e12.4 Fracture Characterization 241\u003c\/p\u003e \u003cp\u003e12.5 Fracture Analysis 246\u003c\/p\u003e \u003cp\u003e12.6 Fractal Analysis 248\u003c\/p\u003e \u003cp\u003e12.7 3D Fault Models 249\u003c\/p\u003e \u003cp\u003e12.8 Discussion 249\u003c\/p\u003e \u003cp\u003e12.9 Conclusions 251\u003c\/p\u003e \u003cp\u003eReferences 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection III Artificial Intelligence Applied to Reservoir Characterization 257\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Exploring the Depths: Satellite Image Processing and Artificial Intelligence in the Oil and Gas Industry 259\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHasna Yazid, Said Gaci\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 259\u003c\/p\u003e \u003cp\u003e13.2 Overview of Satellite Technology 260\u003c\/p\u003e \u003cp\u003e13.3 Evolution of Satellite Technology in the Oil and Gas Industry 261\u003c\/p\u003e \u003cp\u003e13.4 Satellite Image Processing Techniques 262\u003c\/p\u003e \u003cp\u003e13.5 Artificial Intelligence in Satellite Imagery Processing 264\u003c\/p\u003e \u003cp\u003e13.6 Practical Applications and AI in the Oil and Gas Industry 266\u003c\/p\u003e \u003cp\u003e13.7 Conclusions 273\u003c\/p\u003e \u003cp\u003eReferences 275\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Modern AI Usage in the Oil and Gas Industry for Reservoir Characterization and Lithofacies Forecasting (Rock Typing) 281\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHasna Yazid, Said Gaci, Mohammed Farfour\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 281\u003c\/p\u003e \u003cp\u003e14.2 Workflow of Rock Typing Using Machine Learning 284\u003c\/p\u003e \u003cp\u003e14.3 Application 285\u003c\/p\u003e \u003cp\u003e14.4 Conclusions 297\u003c\/p\u003e \u003cp\u003eAcknowledgment 299\u003c\/p\u003e \u003cp\u003eReferences 299\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Logging-Data-Driven Fluid Prediction in Clastic Reservoir Based on Fractal Attributes and Machine Learning Methods 303\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAbdelbasset Boulassel, Soraya Makhlouf, Fethi Ali Cheddad, Zinelaabidine Boumelit, Badis Zegagh, Salah Boufenchouche, Amar Boudella, Naima Zaourar, Said Gaci\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 303\u003c\/p\u003e \u003cp\u003e15.2 Studied Dataset 304\u003c\/p\u003e \u003cp\u003e15.3 Overview of Fractal Analysis Steps Employed in Geophysical Well Logs Study 305\u003c\/p\u003e \u003cp\u003e15.4 Overview of Employed Machine Learning Methods 307\u003c\/p\u003e \u003cp\u003e15.5 Model Evaluation 309\u003c\/p\u003e \u003cp\u003e15.6 Results and Discussion 311\u003c\/p\u003e \u003cp\u003e15.7 Conclusions 318\u003c\/p\u003e \u003cp\u003eAcknowledgment 318\u003c\/p\u003e \u003cp\u003eReferences 318\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Unlocking Deeper Insights: Using Machine Learning to Predict Dynamic Shear Wave Slowness from Well Logs 323\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAbdelbasset Boulassel, Soraya Makhlouf, Zinelaabidine Boumelit, Badis Zegagh, Salah Boufenchouche, Fethi Ali Cheddad, Amar Boudella, Naima Zaourar, Said Gaci\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 323\u003c\/p\u003e \u003cp\u003e16.2 Studied Wells and Dataset 324\u003c\/p\u003e \u003cp\u003e16.3 Overview of Employed Machine Learning Methods 325\u003c\/p\u003e \u003cp\u003e16.4 Model Evaluation 328\u003c\/p\u003e \u003cp\u003e16.5 Results and Discussion 330\u003c\/p\u003e \u003cp\u003e16.6 Conclusions 338\u003c\/p\u003e \u003cp\u003eAcknowledgment 338\u003c\/p\u003e \u003cp\u003eReferences 338\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection IV Energy transition: New Perspectives on Geothermal Energy Exploration and Development and CO\u003csub\u003e2\u003c\/sub\u003e Sequestration 343\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Energy Transition and the Role of AI: Statistics, Trends, and Implications 345\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSaid Gaci, Hasna Yazid, Aziz Khelalef , Mohammed Farfour\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 345\u003c\/p\u003e \u003cp\u003e17.2 Objectives for the Energy Transition 345\u003c\/p\u003e \u003cp\u003e17.3 Emerging Trends of Energy Transition and AI 346\u003c\/p\u003e \u003cp\u003e17.4 Implications of Leveraging AI in Energy Transition 348\u003c\/p\u003e \u003cp\u003e17.5 Challenges to Apply AI in Renewable Energy Sector 348\u003c\/p\u003e \u003cp\u003e17.6 Conclusions 351\u003c\/p\u003e \u003cp\u003eReferences 352\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 On the Importance of Integrating Geomodeling in Geothermal Studies 355\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMohamed Amrouche\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 355\u003c\/p\u003e \u003cp\u003e18.2 Geology of Geothermal Provinces 356\u003c\/p\u003e \u003cp\u003e18.3 Exploration of Geothermal Reservoirs 358\u003c\/p\u003e \u003cp\u003e18.4 Modeling the Subsurface of Geothermal Reservoirs 361\u003c\/p\u003e \u003cp\u003e18.5 Concepts of 3D Geocellular Modeling 363\u003c\/p\u003e \u003cp\u003e18.6 Geophysical Modeling with the 3D Geocellular Grid 367\u003c\/p\u003e \u003cp\u003e18.7 Faults and Fracture Network Modeling with the 3D Geocellular Grid 370\u003c\/p\u003e \u003cp\u003e18.8 Updating the Property Models with Integrated Workflows 373\u003c\/p\u003e \u003cp\u003e18.9 Conclusions 374\u003c\/p\u003e \u003cp\u003eReferences 375\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Advancements, Challenges, and Outlook of Geothermal Reservoir Operations 379\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eGhoulem Ifrene, Singh Kuldeep, William Gosnold\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 379\u003c\/p\u003e \u003cp\u003e19.2 Geomechanical Considerations of Geothermal Reservoirs 382\u003c\/p\u003e \u003cp\u003e19.3 Drilling and Well Completion Technologies 390\u003c\/p\u003e \u003cp\u003e19.4 Production and Injection Optimization 392\u003c\/p\u003e \u003cp\u003e19.5 Future Directions and Research Needs 398\u003c\/p\u003e \u003cp\u003e19.6 Environmental and Social Considerations for Geothermal Energy Development 403\u003c\/p\u003e \u003cp\u003eReferences 409\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Multiscale Reservoir Characterization of a CO\u003csub\u003e2\u003c\/sub\u003e Storage Aquifer: Mineralogical, Geomechanical, and Petrophysical Analyses for a CCS Project in North Dakota? 417\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAimen Laalam, Ahmed Merzoug, Hichem Aymen Katib Chellal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 417\u003c\/p\u003e \u003cp\u003e20.2 CCS Overview 418\u003c\/p\u003e \u003cp\u003e20.3 Case Study: Carbon Storage in the Broom Creek Saline Aquifer, Williston Basin, North Dakota 425\u003c\/p\u003e \u003cp\u003e20.4 Conclusions 444\u003c\/p\u003e \u003cp\u003eReferences 444\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Anthropogenic Carbon Sequestration into the Subsurface: Caveats and Pitfalls 451\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSteven A. Tedesco\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction 451\u003c\/p\u003e \u003cp\u003e21.2 CO\u003csub\u003e2\u003c\/sub\u003e Incentives 452\u003c\/p\u003e \u003cp\u003e21.3 Chemistry 452\u003c\/p\u003e \u003cp\u003e21.4 Carbon Dioxide 453\u003c\/p\u003e \u003cp\u003e21.5 Potential Sequestration Locations 455\u003c\/p\u003e \u003cp\u003e21.6 Sequestration in Hydrocarbon and Carbon Dioxide Reservoirs 456\u003c\/p\u003e \u003cp\u003e21.7 Risk Assessment Analysis and Characterization of a Reservoir for CO\u003csub\u003e2\u003c\/sub\u003e Sequestration 458\u003c\/p\u003e \u003cp\u003e21.8 Sequestration in Saline Aquifers 461\u003c\/p\u003e \u003cp\u003e21.9 Sequestration in Coal Seams 465\u003c\/p\u003e \u003cp\u003e21.10 Sequestration in Carbonaceous Mudstones 468\u003c\/p\u003e \u003cp\u003e21.11 Mineral Sequestration 470\u003c\/p\u003e \u003cp\u003e21.12 Sequestration in Oceans 471\u003c\/p\u003e \u003cp\u003e21.13 Sequestration in Soils 471\u003c\/p\u003e \u003cp\u003e21.14 Class VI Wells 471\u003c\/p\u003e \u003cp\u003e21.15 Case Histories\/Models 473\u003c\/p\u003e \u003cp\u003e21.16 Summary 482\u003c\/p\u003e \u003cp\u003eReferences 483\u003c\/p\u003e \u003cp\u003eIndex 489\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Earth sciences [\u003ca title=\"See our other books on Earth sciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Earth%20sciences%20%5BRB%5D%22\"\u003eRB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52433237868824,"sku":"9781394261536","price":125.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394261536.jpg?v=1784852638","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/geophysical-exploration-for-hydrocarbon-reservoirs-geothermal-energy-and-carbon-storage-new-technologies-and-ai-based-approaches-hardback-9781394261536","provider":"Freshly Printed Books","version":"1.0","type":"link"}