• 1. Fe group L12 and B2 structures 2. Testing 3. Testing in Fe Based DO3 4. The Effect of B 5. The Effect of B in the DO3 Structures 6. B2 structures-Testing 7. The effect of Boron (B) on B2 compounds 8. Mechanical Properties of Thin Films in L12 and B2 structures 9. Dislocations in the Fe group L12 and DO3 alloys 10. Dislocations and Strength Anomaly in B2 type crystals 11. Time Dependent Deformation-Creep: L12 and DO3 compounds 12. Time dependent Deformation-Creep: B2 compounds 13. Fatigue (cyclic deformation) in L12 and DO3 14. Fatigue (cyclic deformation) in B2 Compounds 15. Fracture in L12 and DO3 16. Fracture in B2 Intermetallics 17. Mechanical Properties of L12 (DO3) Nano Structures 18. Mechanical Properties of B2 Nano Structures.
• (source: Nielsen Book Data)9780128161333 20181015

Basic Compounds for Superalloys: Mechanical Properties explores the mechanical properties of the iron group based intermetallic compounds that are the basis of super-alloys. Chapters explore tensile tests and compressive stress and hardness and provide detailed considerations that are devoted to time dependent deformation, namely creep and cyclic deformation. In addition, a discussion of the nano-crystalline L12 and B2 structures and their mechanical properties is included. Fracture and failure of these materials in both macro and nano-iron based compounds is also considered. This book is ideal for engineers, scientists and technical personnel who work in materials engineering, materials science, and mechanical and chemical engineering.
(source: Nielsen Book Data)9780128161333 20181015

• Shale Gas Reservoirs: A Comparative Approach.- Analytical and Numerical Modelling of Shale Gas Reservoirs: Past and Present.- Inherent Defying Features in Shale Gas Modelling.- Production Performance Analysis of Shale Gas Reservoirs.
• (source: Nielsen Book Data)9783319707686 20180319

This book addresses the problems involved in the modelling and simulation of shale gas reservoirs, and details recent advances in the field. It discusses various modelling and simulation challenges, such as the complexity of fracture networks, adsorption phenomena, non-Darcy flow, and natural fracture networks, presenting the latest findings in these areas. It also discusses the difficulties of developing shale gas models, and compares analytical modelling and numerical simulations of shale gas reservoirs with those of conventional reservoirs. Offering a comprehensive review of the state-of-the-art in developing shale gas models and simulators in the upstream oil industry, it allows readers to gain a better understanding of these reservoirs and encourages more systematic research on efficient exploitation of shale gas plays. It is a valuable resource for researchers interested in the modelling of unconventional reservoirs and graduate students studying reservoir engineering. It is also of interest to practising reservoir and production engineers.
(source: Nielsen Book Data)9783319707686 20180319

• Introduction.- Fundamentals on Column Dynamics.- Models for Dynamic Column Buckling.- Final Remarks.- Appendix: Deduction of Motion Equations.
• (source: Nielsen Book Data)9783319912073 20180702

This book introduces the underlying concepts of column dynamics and buckling, based on the latest state-of-the-art research on this innovative topic. It begins with a summary of the basic concepts behind column dynamics and buckling, before moving on to the models for studying dynamic buckling inside oil wells. Four models with increasing complexity are presented: columns without friction; columns with friction; columns inside slant wells; and columns inside offshore wells. Each model is divided into two cases, depending on whether the column is being tripped in or out. A case study is used to demonstrate these models and is further developed as each model is presented and explained. The results include comparisons between the models themselves, thus showing the implications of the adopted hypotheses of each. This book enables academic, industrial, and graduate student readers to fully understand the fundamentals of dynamic buckling and to further develop the presented models for their own research.
(source: Nielsen Book Data)9783319912073 20180702

• Foreword xv Preface xxi Acknowledgments xxiii Chapter 1 Introduction to Data-Driven Concepts 1 Introduction 2 Current Approaches 2 Is There a Crisis in Geophysical and Petrophysical Analysis? 3 Applying an Analytical Approach 4 What Are Analytics and Data Science? 5 Meanwhile, Back in the Oil Industry 8 How Do I Do Analytics and Data Science? 10 What Are the Constituent Parts of an Upstream Data Science Team? 13 A Data-Driven Study Timeline 15 What Is Data Engineering? 18 A Workflow for Getting Started 19 Is It Induction or Deduction? 30 References 32 Chapter 2 Data-Driven Analytical Methods Used in E&P 34 Introduction 35 Spatial Datasets 36 Temporal Datasets 37 Soft Computing Techniques 39 Data Mining Nomenclature 40 Decision Trees 43 Rules-Based Methods 44 Regression 45 Classification Tasks 45 Ensemble Methodology 48 Partial Least Squares 50 Traditional Neural Networks: The Details 51 Simple Neural Networks 54 Random Forests 59 Gradient Boosting 60 Gradient Descent 60 Factorized Machine Learning 62 Evolutionary Computing and Genetic Algorithms 62 Artificial Intelligence: Machine and Deep Learning 64 References 65 Chapter 3 Advanced Geophysical and Petrophysical Methodologies 68 Introduction 69 Advanced Geophysical Methodologies 69 How Many Clusters? 70 Case Study: North Sea Mature Reservoir Synopsis 72 Case Study: Working with Passive Seismic Data 74 Advanced Petrophysical Methodologies 78 Well Logging and Petrophysical Data Types 78 Data Collection and Data Quality 82 What Does Well Logging Data Tell Us? 84 Stratigraphic Information 86 Integration with Stratigraphic Data 87 Extracting Useful Information from Well Reports 89 Integration with Other Well Information 90 Integration with Other Technical Domains at the Well Level 90 Fundamental Insights 92 Feature Engineering in Well Logs 95 Toward Machine Learning 98 Use Cases 98 Concluding Remarks 99 References 99 Chapter 4 Continuous Monitoring 102 Introduction 103 Continuous Monitoring in the Reservoir 104 Machine Learning Techniques for Temporal Data 105 Spatiotemporal Perspectives 106 Time Series Analysis 107 Advanced Time Series Prediction 108 Production Gap Analysis 112 Digital Signal Processing Theory 117 Hydraulic Fracture Monitoring and Mapping 117 Completions Evaluation 118 Reservoir Monitoring: Real-Time Data Quality 119 Distributed Acoustic Sensing 122 Distributed Temperature Sensing 123 Case Study: Time Series to Optimize Hydraulic Fracture Strategy 129 Reservoir Characterization and Tukey Diagrams 131 References 138 Chapter 5 Seismic Reservoir Characterization 140 Introduction 141 Seismic Reservoir Characterization: Key Parameters 141 Principal Component Analysis 146 Self-Organizing Maps 146 Modular Artificial Neural Networks 147 Wavelet Analysis 148 Wavelet Scalograms 157 Spectral Decomposition 159 First Arrivals 160 Noise Suppression 161 References 171 Chapter 6 Seismic Attribute Analysis 174 Introduction 175 Types of Seismic Attributes 176 Seismic Attribute Workflows 180 SEMMA Process 181 Seismic Facies Classification 183 Seismic Facies Dataset 188 Seismic Facies Study: Preprocessing 189 Hierarchical Clustering 190 k-means Clustering 193 Self-Organizing Maps (SOMs) 194 Normal Mixtures 195 Latent Class Analysis 196 Principal Component Analysis (PCA) 198 Statistical Assessment 200 References 204 Chapter 7 Geostatistics: Integrating Seismic and Petrophysical Data 206 Introduction 207 Data Description 208 Interpretation 210 Estimation 210 The Covariance and the Variogram 211 Case Study: Spatially Predicted Model of Anisotropic Permeability 214 What Is Anisotropy? 214 Analysis with Surface Trend Removal 215 Kriging and Co-kriging 224 Geostatistical Inversion 229 Geophysical Attribute: Acoustic Impedance 230 Petrophysical Properties: Density and Lithology 230 Knowledge Synthesis: Bayesian Maximum Entropy (BME) 231 References 237 Chapter 8 Artificial Intelligence: Machine and Deep Learning 240 Introduction 241 Data Management 243 Machine Learning Methodologies 243 Supervised Learning 244 Unsupervised Learning 245 Semi-Supervised Learning 245 Deep Learning Techniques 247 Semi-Supervised Learning 249 Supervised Learning 250 Unsupervised Learning 250 Deep Neural Network Architectures 251 Deep Forward Neural Network 251 Convolutional Deep Neural Network 253 Recurrent Deep Neural Network 260 Stacked Denoising Autoencoder 262 Seismic Feature Identification Workflow 268 Efficient Pattern Recognition Approach 268 Methods and Technologies: Decomposing Images into Patches 270 Representing Patches with a Dictionary 271 Stacked Autoencoder 272 References 274 Chapter 9 Case Studies: Deep Learning in E&P 276 Introduction 277 Reservoir Characterization 277 Case Study: Seismic Profile Analysis 280 Supervised and Unsupervised Experiments 280 Unsupervised Results 282 Case Study: Estimated Ultimate Recovery 288 Deep Learning for Time Series Modeling 289 Scaling Issues with Large Datasets 292 Conclusions 292 Case Study: Deep Learning Applied to Well Data 293 Introduction 293 Restricted Boltzmann Machines 294 Mathematics 297 Case Study: Geophysical Feature Extraction: Deep Neural Networks 298 CDNN Layer Development 299 Case Study: Well Log Data-Driven Evaluation for Petrophysical Insights 302 Case Study: Functional Data Analysis in Reservoir Management 306 References 312 Glossary 314 About the Authors 320 Index 323.
• (source: Nielsen Book Data)9781119215103 20180903

Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.
(source: Nielsen Book Data)9781119215103 20180903

• Foreword xv Preface xxi Acknowledgments xxiii Chapter 1 Introduction to Data-Driven Concepts 1 Introduction 2 Current Approaches 2 Is There a Crisis in Geophysical and Petrophysical Analysis? 3 Applying an Analytical Approach 4 What Are Analytics and Data Science? 5 Meanwhile, Back in the Oil Industry 8 How Do I Do Analytics and Data Science? 10 What Are the Constituent Parts of an Upstream Data Science Team? 13 A Data-Driven Study Timeline 15 What Is Data Engineering? 18 A Workflow for Getting Started 19 Is It Induction or Deduction? 30 References 32 Chapter 2 Data-Driven Analytical Methods Used in E&P 34 Introduction 35 Spatial Datasets 36 Temporal Datasets 37 Soft Computing Techniques 39 Data Mining Nomenclature 40 Decision Trees 43 Rules-Based Methods 44 Regression 45 Classification Tasks 45 Ensemble Methodology 48 Partial Least Squares 50 Traditional Neural Networks: The Details 51 Simple Neural Networks 54 Random Forests 59 Gradient Boosting 60 Gradient Descent 60 Factorized Machine Learning 62 Evolutionary Computing and Genetic Algorithms 62 Artificial Intelligence: Machine and Deep Learning 64 References 65 Chapter 3 Advanced Geophysical and Petrophysical Methodologies 68 Introduction 69 Advanced Geophysical Methodologies 69 How Many Clusters? 70 Case Study: North Sea Mature Reservoir Synopsis 72 Case Study: Working with Passive Seismic Data 74 Advanced Petrophysical Methodologies 78 Well Logging and Petrophysical Data Types 78 Data Collection and Data Quality 82 What Does Well Logging Data Tell Us? 84 Stratigraphic Information 86 Integration with Stratigraphic Data 87 Extracting Useful Information from Well Reports 89 Integration with Other Well Information 90 Integration with Other Technical Domains at the Well Level 90 Fundamental Insights 92 Feature Engineering in Well Logs 95 Toward Machine Learning 98 Use Cases 98 Concluding Remarks 99 References 99 Chapter 4 Continuous Monitoring 102 Introduction 103 Continuous Monitoring in the Reservoir 104 Machine Learning Techniques for Temporal Data 105 Spatiotemporal Perspectives 106 Time Series Analysis 107 Advanced Time Series Prediction 108 Production Gap Analysis 112 Digital Signal Processing Theory 117 Hydraulic Fracture Monitoring and Mapping 117 Completions Evaluation 118 Reservoir Monitoring: Real-Time Data Quality 119 Distributed Acoustic Sensing 122 Distributed Temperature Sensing 123 Case Study: Time Series to Optimize Hydraulic Fracture Strategy 129 Reservoir Characterization and Tukey Diagrams 131 References 138 Chapter 5 Seismic Reservoir Characterization 140 Introduction 141 Seismic Reservoir Characterization: Key Parameters 141 Principal Component Analysis 146 Self-Organizing Maps 146 Modular Artificial Neural Networks 147 Wavelet Analysis 148 Wavelet Scalograms 157 Spectral Decomposition 159 First Arrivals 160 Noise Suppression 161 References 171 Chapter 6 Seismic Attribute Analysis 174 Introduction 175 Types of Seismic Attributes 176 Seismic Attribute Workflows 180 SEMMA Process 181 Seismic Facies Classification 183 Seismic Facies Dataset 188 Seismic Facies Study: Preprocessing 189 Hierarchical Clustering 190 k-means Clustering 193 Self-Organizing Maps (SOMs) 194 Normal Mixtures 195 Latent Class Analysis 196 Principal Component Analysis (PCA) 198 Statistical Assessment 200 References 204 Chapter 7 Geostatistics: Integrating Seismic and Petrophysical Data 206 Introduction 207 Data Description 208 Interpretation 210 Estimation 210 The Covariance and the Variogram 211 Case Study: Spatially Predicted Model of Anisotropic Permeability 214 What Is Anisotropy? 214 Analysis with Surface Trend Removal 215 Kriging and Co-kriging 224 Geostatistical Inversion 229 Geophysical Attribute: Acoustic Impedance 230 Petrophysical Properties: Density and Lithology 230 Knowledge Synthesis: Bayesian Maximum Entropy (BME) 231 References 237 Chapter 8 Artificial Intelligence: Machine and Deep Learning 240 Introduction 241 Data Management 243 Machine Learning Methodologies 243 Supervised Learning 244 Unsupervised Learning 245 Semi-Supervised Learning 245 Deep Learning Techniques 247 Semi-Supervised Learning 249 Supervised Learning 250 Unsupervised Learning 250 Deep Neural Network Architectures 251 Deep Forward Neural Network 251 Convolutional Deep Neural Network 253 Recurrent Deep Neural Network 260 Stacked Denoising Autoencoder 262 Seismic Feature Identification Workflow 268 Efficient Pattern Recognition Approach 268 Methods and Technologies: Decomposing Images into Patches 270 Representing Patches with a Dictionary 271 Stacked Autoencoder 272 References 274 Chapter 9 Case Studies: Deep Learning in E&P 276 Introduction 277 Reservoir Characterization 277 Case Study: Seismic Profile Analysis 280 Supervised and Unsupervised Experiments 280 Unsupervised Results 282 Case Study: Estimated Ultimate Recovery 288 Deep Learning for Time Series Modeling 289 Scaling Issues with Large Datasets 292 Conclusions 292 Case Study: Deep Learning Applied to Well Data 293 Introduction 293 Restricted Boltzmann Machines 294 Mathematics 297 Case Study: Geophysical Feature Extraction: Deep Neural Networks 298 CDNN Layer Development 299 Case Study: Well Log Data-Driven Evaluation for Petrophysical Insights 302 Case Study: Functional Data Analysis in Reservoir Management 306 References 312 Glossary 314 About the Authors 320 Index 323.
• (source: Nielsen Book Data)9781119215103 20180903

Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.
(source: Nielsen Book Data)9781119215103 20180903

• Chapter 1 Geology.- Chapter 2 Pore structures.- Chapter 3 Geochemical properties.- Chapter 4 Nano-mechanical properties.
• (source: Nielsen Book Data)9783319760865 20180604

This book summarizes the authors' extensive experience and interdisciplinary approach to demonstrate how acquiring and integrating data using a variety of analytical equipment can provide better insights into unconventional shale reservoir rocks and their constituent components. It focuses on a wide range of properties of unconventional shale reservoirs, discussing the use of conventional and new analytical methods for detailed measurements of mechanical properties of both organic and inorganic constituent elements as well as of the geochemical characteristics of organic components and their origins. It also addresses the investigation of porosity, pore size and type from several perspectives to help us to define unconventional shale formation. All of these analyses are treated individually, but brought together to present the rock sample on a macro scale. This book is of interest to researchers and graduate students from various disciplines, such as petroleum, civil, and mechanical engineering, as well as from geoscience, geology, geochemistry and geophysics. The methods and approaches can be further extended to biology and medicine.
(source: Nielsen Book Data)9783319760865 20180604

• Pressure diffusion equation for fluid flow in porous rocks
• Line source solution for a vertical well in an infinite reservoir
• Superposition and pressure buildup tests
• Effect of faults and linear boundaries
• Wellbore skin and wellbore storage
• Production from bounded reservoirs
• Laplace transform methods in reservoir engineering
• Naturally-fractured reservoirs
• Flow of gases in porous media.

• 1. About This Book 2. Vacuum Technology 3. Plasmas and Plasma Enhanced CVD (PECVD) 4. Physical Sputtering and Sputter Deposition 5. Thermal Evaporation and Deposition in Vacuum 6. Cathodic Arc Vaporization and Cathodic Arc Vapor Deposition 7. Ion Plating 8. Condensation, Nucleation, Interface Formation, and Film Growth Appendix 1. Historical Timelines 2. Glossary of Terms and acronyms.
• (source: Nielsen Book Data)9780128130841 20181015

The Foundations of Vacuum Coating Technology, Second Edition, is a revised and expanded version of the first edition, which was published in 2003. The book reviews the histories of the various vacuum coating technologies and expands on the history of the enabling technologies of vacuum technology, plasma technology, power supplies, and low-pressure plasma-enhanced chemical vapor deposition. The melding of these technologies has resulted in new processes and products that have greatly expanded the application of vacuum coatings for use in our everyday lives. The book is unique in that it makes extensive reference to the patent literature (mostly US) and how it relates to the history of vacuum coating. The book includes a Historical Timeline of Vacuum Coating Technology and a Historical Timeline of Vacuum/Plasma Technology, as well as a Glossary of Terms used in the vacuum coating and surface engineering industries.
(source: Nielsen Book Data)9780128130841 20181015

• Preface ix Acknowledgments xiii Introduction. An STS Analysis of Natural Gas Development in the United States 1 1. Securing the Natural Gas Boom: Oilfield Service Companies and Hydraulic Fracturing's Regulatory Exemptions 19 2. Methods for Following Chemicals: Seeing a Disruptive System and Forming a Disruptive Science 41 3. HEIRship: TEDX and Collective Inheritance 64 4. Stimulating Debate: Fracking, HEIRship, and TEDX's Generative Database 86 5. Industrial Relations and an Introduction to STS in Practice 115 6. ExtrAct: A Case Study in Methods for STS in Practice 137 7. Landman Report Card: Developing Web Tools for Socially Contentious Issues 165 8. From LRC to WellWatch: Designing Infrastructure for Participatory and Recursive Publics 191 9. WellWatch: Reflections on Designing Digital Media for Multisited Para-ethnography of Industrial Systems 219 10. The Fossil-Fuel Connection (with coauthor Len Albright) 247 Conclusion. Corporate Bodies and Chemical Bonds: A Call for Industrial Embodiment 279 Notes 305 References 333 Index 383.
• (source: Nielsen Book Data)9780822369028 20180709

From flammable tap water and sick livestock to the recent onset of hundreds of earthquakes in Oklahoma, the impact of fracking in the United States is far-reaching and deeply felt. In Fractivism Sara Ann Wylie traces the history of fracking and the ways scientists and everyday people are coming together to hold accountable an industry that has managed to evade regulation. Beginning her story in Colorado, Wylie shows how nonprofits, landowners, and community organizers are creating novel digital platforms and databases to track unconventional oil and gas well development and document fracking's environmental and human health impacts. These platforms model alternative approaches for academic and grassroots engagement with the government and the fossil fuel industry. A call to action, Fractivism outlines a way forward for not just the fifteen million Americans who live within a mile of an unconventional oil or gas well, but for the planet as a whole.
(source: Nielsen Book Data)9780822369028 20180709

• List of Contributor Introduction: Aluminium, the strategic material 1. New Research Techniques in Aluminium Alloy Development 2. Additive Manufacturing of Aluminium-Based Alloys and Composites 3. How to Design and Buy Aluminium Castings 4. Aluminium Investment Casting and Rapid Prototyping for Aerospace Applications 5. Advances in the Sand Casting of Aluminium Alloys 6. New Hypoeutectic/Hypereutectic Die-Casting Alloys and New Permanent Mould Casting Alloys That Rely on Strontium for Their Die Soldering Resistance 7. Thermal Conductivity of Aluminium High-Pressure Die Castings 8. Advanced Casting Technologies Using High Shear Melt Conditioning 9. Treatment by External Fields 10. Automotive Wrought Aluminium Alloys 11. Aluminium Lithium Alloys 12. Aluminium Scandium Alloys 12. Control of Distortion in Aluminium Heat Treatment 14. Recent Insights Into Corrosion Initiation at the Nanoscale Index.
• (source: Nielsen Book Data)9780081020630 20180717

Fundamentals of Aluminium Metallurgy: Recent Advances updates the very successful book Fundamentals of Aluminium Metallurgy. As the technologies related to casting and forming of aluminum components are rapidly improving, with new technologies generating alternative manufacturing methods that improve competitiveness, this book is a timely resource. Sections provide an overview of recent research breakthroughs, methods and techniques of advanced manufacture, including additive manufacturing and 3D printing, a comprehensive discussion of the status of metalcasting technologies, including sand casting, permanent mold casting, pressure diecastings and investment casting, and recent information on advanced wrought alloy development, including automotive bodysheet materials, amorphous glassy materials, and more. Target readership for the book includes PhD students and academics, the casting industry, and those interested in new industrial opportunities and advanced products.
(source: Nielsen Book Data)9780081020630 20180717

• Core Analysis: an Introduction.- Preparing for Analysis.- Microscopic Studies.- Macroscopic Studies.- Geochemical Analysis.- Rock Typing.
• (source: Nielsen Book Data)9783319780269 20180604

This book offers a compact guide to geological core analysis, covering both theoretical and practical aspects of geological studies of reservoir cores. It equips the reader with the knowledge needed to precisely and accurately analyse cores. The book begins by providing a description of a coring plan, coring, and core sampling and continues with a sample preparation for geological analysis. It then goes on to explain how the samples are named, classified and integrated in order to understand the geological properties that dictate reservoir characteristics. Subsequently, porosity and permeability data derived from routine experiments are combined to define geological rock types and reduce reservoir heterogeneity. Sequence stratigraphy is introduced for reservoir zonation. Core log preparation is also covered, allowing reservoirs to be analysed even more accurately. As the study of core samples is the only way to accurately gauge reservoir properties, this book provides a useful guide for all geologists and engineers working with subsurface samples.
(source: Nielsen Book Data)9783319780269 20180604

• Contents Abstract Acknowledgments 1 Introduction 1.1 Problem Statement 1.2 Methodology 1.3 Scope 1.4 Outline of the thesis 2 Phenomenology and Contradictions in Carbonate Reservoirs 2.1 First Contradiction: Tectonic Fracture or Nonplanar Discontinuity? 2.2 Second Contradiction: How Do Different Discontinuities Impact? 2.3 Analogs Reservoirs and Outcrops for a Flow Analytical Model 2.4 Geological and Tomography Features of Tectonic Fractures 2.5 Analytical Model for the Profile Velocity of Tectonic Fractures 2.6 Kinematic Analytical Modeling for Tectonic Fractures 2.7 Third Contradiction: Darcy's Flow or Couette General Flow for Planar Discontinuity (Tectonic Fracture) 2.8 Geological and Tomography Features of Fault Breccias 2.9 Kinematic Analytical Modeling for Fault Breccias 2 .10 Geological and Tomography Features of Chicxulub Impact Breccias and Cantarell Reservoir 2.11 Kinematic Analytical Modeling for Impact Breccias 2.12 Fourth Contradiction: Fluid Flow of the Cantarell Reservoir Modeled without Considerer Chicxulub Impact 2.13 Geological and Tomography Features of Sedimentary Breccias 2.14 Kinematic Analytical Modeling for Sedimentary Breccia 2.15 Geological and Tomography Features of Vugs 2.16 Kinematic Analytical Modeling for Vugs 2.17 Fifth Contradiction: Liquids Retention Paradox for Vugs 2.18 Application Examples 2.18.1 Behavior of Fluid Velocities 2.18.2 Carbonate Reservoir Characteristics: Cardenas Field Application. 2.19 Mathematical models summary 2.20 Nomenclature 3 A Ternary, Static, and Dynamic Classification of NFCRs 3.1 Classification proposal 3.2 Ternary classification propo sal considerations 3.3 Ternary classification of NFCRs 3.4 Ternary classification parameters 3.5 Geological discontinuities lines 3.5.1 Line of tectonic-sedimentary breccias 3.5.2 Line of impact breccias 3.5.3 Dissolution line 3.5.4 Interception of geological discontinuities lines 3.5.5 Classifying Fractured Carbonate Reservoirs 3.6 Generalized ternary classification 3.6.1 Classification of Naturally Fractured Reservoirs. Author: Ronald Nelson 3.6.2 Classification for naturally fractured reservoir, by Gilman et al. 3.6.3 Types of Naturally Fractured Reservoirs. Author: Heber CincoLey 3.6.4 Reservoirs classification, by Soto et al 3.6.5 Similarities between classifications available in literature and ternary classification 3.7 Examples of NFCRs 3.8 Nomenclature 4 Analytical m odel for Non Stress Sensitive Naturally Fractured Carbonate Reservoirs (NFCRs) 4.1 Overview 4.2 Analytical considerations for model 4.3 Couette and Darcy's equation 4.4 Analytical model 4.5 Mathematical model and solution for constant rate radial flow in an infinite reservoir 4.6 Solution of the Nonlinear Partial Differential Equation without stresssensitive 4.6.1 Case without transfer function 5 Analytical model for Stress Sensitive Naturally Fractured Carbonate Reservoirs (NFCRs) 5.1 Analytical considerations for model 5.2 Analytical model 5.3 Solution Nonlinear Partial Differential Equation 5.3.1 Case 1: γ = cf 6 Westergaard's solution applied to Carbonate Reservoirs 6.1 Westergaard's solution 6.1.1 Airy Stress Function 6.1.2 Displacement in the horizontal direction, u 6.1.3 Displacement in the ver tical direction, v 6.2 Westergaard's application for tectonic fractures 6.3 Westergaard's solution applied to a limestone reservoir with tectonic fractures 6.3.1 Field geological aspects 6.3.2 Paleontological description 6.3.3 Petrography 6.3.4 Permeability and porosity 6.3.5 X-ray diffraction for the identification and analysis of carbonates rocks 6.3.6 Computed tomography, CT 6.3.7 Fluid Pore Pressure 6.4 Carbonate rock mechanical properties 6.4.1 Overburden stress, Sv 6.4.2 Maximum and minimum horizontal stresses magnitudes 6.4.3 Elastic parameters: Young's modulus and Poisson's ratio 6.5 Closed or open natural horizontal fractures 7 Applicability and benefits of doctoral thesis for hydrocarbons industry 8 Conclusions and recommendations 8.1 Conclusions Recommendations.
• (source: Nielsen Book Data)9783319775005 20180625

This thesis presents an important step towards a deeper understanding of naturally fractured carbonate reservoirs (NFCRs). It demonstrates the various kinds of discontinuities using geological evidence, mathematical kinematics model and computed tomography and uses this as a basis for proposing a new classification for NFCRs. Additionally, this study takes advantage of rock mechanics theory to illustrate how natural fractures can collapse due to fluid flow and pressure changes in the fractured media. The explanations and mathematical modeling developed in this dissertation can be used as diagnostic tools to predict fluid velocity, fluid flow, tectonic fracture collapse, pressure behavior during reservoir depleting, considering stress-sensitive and non-stress-sensitive, with nonlinear terms in the diffusivity equation applied to NFCRs. Furthermore, the book presents the description of real reservoirs with their field data as the principal goal in the mathematical description of the realistic phenomenology of NFCRs.
(source: Nielsen Book Data)9783319775005 20180625

• Background.- Greenhouse Gases And Climate Change.- Carbon Management: Geomaterials And Geological Formations.- Clay Mineralogy.- Advanced Experimental Techniques In Geochemistry.- Experimental Studies: Molecular Interactions At Clay Interfaces.- Experimental Studies: Clay Swelling.- Classical MD Simulations Of Clay Systems.- Quantum Chemistry Of Clay Interlayer.
• (source: Nielsen Book Data)9783319126609 20180205

This book is a systematic compilation of the most recent body of knowledge in the rapidly developing research area of greenhouse gas interaction with clay systems. Unexpected results of the most recent studies - such as unusually high sorption capacity and sorption hysteresis of swelling clays -stimulated theoretical activity in this fascinating field. Classical molecular dynamics (MD) explains swelling caused by intercalation of water molecules and to a certain degree of CO2 molecules in clay interlayer. However, unusual frequency shifts in the transient infrared fingerprints of the intercalated molecules and the following accelerated carbonation can be tackled only via quantum mechanical modeling. This book provides a streamlined (from simple to complex) guide to the most advanced research efforts in this field.
(source: Nielsen Book Data)9783319126609 20180205

• Préface / Hubert Védrine -- La malédiction des métaux rares -- Une définition des métaux rares -- Les métaux rares, vecteurs d'énergies nouvelles -- Une révolution technologique à l'origine d'une mutation énergétique -- Une accélération de la consommation des métaux rares -- Terres rares, marché noir et catastrophes écologiques -- Un monde plus vert tributaire de métaux sales -- De colossales répercussions sanitaires -- Une soif de rattrapage, au risque de l'anarchie -- Les métaux rares, un fléau devenu mondial -- La part d'ombre des technologies vertes et numériques -- Les green tech : un bilan écologique accablant -- La matérialité de l'invisible -- Les promesses déçues du recyclage -- Retour à l'envoyeur -- La pollution délocalisée -- Quand les Américains dominaient le marché des terres rares -- Montgolfières, aventure et terres rares: la saga de Rhône-Poulenc -- Un nouvel agencement du monde -- L'illusion d'une nouvelle ère d'abondance -- L'abandon des politiques publiques de souveraineté minérale -- L'Occident sous embargo -- Pékin, nouveau maître des métaux rares -- L'"arme des métaux" au service de la politique étrangère chinoise -- Des manoeuvres commerciales aux répercussions planétaires -- Voyage chez la reine du platine -- La recrudescence des nationalismes miniers -- Des métaux d'influence... et de crise -- Main basse sur les hautes technologies -- La bataille des super-aimants -- Chronique d'une désindustrialisation annoncée -- Voyage dans la "Silicon Valley des terres rares" -- L'Indonésie à nouveau "non alignée" -- Le jour où la Chine a devancé l'Occident -- Les recettes chinoises du "colbertisme high-tech" -- Des progrès technologiques stupéfiants -- L'Occident affaibli -- Quand deux visions du monde s'opposent -- La course aux missiles intelligents -- Shampoing, tondeuses pour chien et missiles de haute précision -- Magnequench dans le collimateur des "Princes rouges" -- Interférences chinoises dans les urnes américaines -- Déni d'accès en mer de Chine méridionale -- Quand les aimants chinois font tanguer le Pentagone -- Extension du domaine de la mine -- Vers une pénurie de métaux? -- La transition énergétique et numérique en danger -- La multiplication des fronts miniers -- La fin des derniers sanctuaires -- La France, un géant minier en sommeil -- Paris à la conquête des océans -- Le jour où le président Obama a fait sauter le verrou de l'espace.

"Transition énergétique, révolution numérique, mutation écologique... Politiques, médias, industriels nous promettent en choeur un nouveau monde enfin affranchi du pétrole, des pollutions, des pénuries et des tensions militaires. Cet ouvrage, fruit de six années d'enquête dans une douzaine de pays, nous montre qu'il n'en est rien ! En nous émancipant des énergies fossiles, nous sombrons en réalité dans une nouvelle dépendance : celle aux métaux rares. Graphite, cobalt, indium, platinoïdes, tungstène, terres rares... ces ressources sont devenues indispensables à notre nouvelle société écologique (voitures électriques, éoliennes, panneaux solaires) et numérique (elles se nichent dans nos smartphones, nos ordinateurs, tablettes et autre objets connectés de notre quotidien). Or les coûts environnementaux, économiques et géopolitiques de cette dépendance pourraient se révéler encore plus dramatiques que ceux qui nous lient au pétrole. Dès lors, c'est une contre-histoire de la transition énergétique que ce livre raconte le récit clandestin d'une odyssée technologique qui a tant promis, et les coulisses d'une quête généreuse, ambitieuse, qui a jusqu'à maintenant charrié des périls aussi colossaux que ceux qu'elle s'était donné pour mission de résoudre."--Page 4 of cover.

• About the author Preface TABLE OF CONTENTS Part I: Origin and Properties Chapter 1: History and Background 1 Introduction 2 History, Use, and the Need for Analysis 2.1 History 2.2 Use 2.3 The Need for Analysis 3 Reservoirs 4 Conventional Gas 4.1 Associated Gas 4.2 Non-Associated Gas 5 Unconventional Gas 5.1 Gas in Geopressurized Zones 5.2 Coalbed Methane 5.3 Gas in Tight Formations 5.4 Gas Hydrates 5.5 Coal gas 5.6 Biogas 5.7 Landfill Gas 5.8 Flue Gas 6 Natural Gas and Energy Security 7 Natural Gas Regulations 7.1 Historical Aspects 7.2 Federal Regulation of the Industry 7.3 Natural Gas and the Environment 8 References Chapter 2: Origin and Production 1 Introduction 2 Origin 3 Reservoirs 3.1 Natural Gas Reservoirs 3.2 Crude Oil Reservoirs 3.3 Gas Condensate Reservoirs 4 Reservoir Fluids 5 Production 5.1 Gas Wells 5.2 Well Completion 5.3 The Wellhead 5.4 Well Treatment 5.5 Natural Gas Production 6 Environmetnal Aspects 7 References Chapter 3: Storage, and Transportation 1 Introduction 2 Storage 3 Storage Faculties 3.1 Depleted Reservoirs 3.2 Aquifers 3.3 Salt Caverns 3.4 Gas Holders 4 Transportation 4.1 Pipelines 4.2 Liquefied Natural Gas 4.3 Liquefied Petroleum Gas 4.4 Compressed Natural Gas 4.5 Gas-To-Solid 4.6 Gas-To-Power 4.7 Gas-To-Liquids 4.8 Gas-To-Commodity 5 References Chapter 4: Gas Cleaning 1 Introduction 2 Gas Streams 2.1 Gas Streams from Natural Gas 2.2 Gas Streams from Crude Oil 3 Water Removal 3.1 Extraction 3.2 Solid Adsorbents 3.3 Chemical Treatment 3.4 Filters and Scrubbers 3.5 Membrane Processes 4 Liquids Removal 4.1 Gas-Crude Oil Separation 4.2 Extraction 4.2.1 The Absorption Process 4.2.2 Cryogenic Process 4.3 Fractionation of Natural Gas Liquids 5 Nitrogen Removal 6 Acid Gas Removal 5.1 Hydrogen Sulfide and Carbon Dioxide Removal 5.2 Claus Process 7 Enrichment 8 Epilog 9 References Part II: Analysis Chapter 5: Sampling and Measurement 1 Introduction 2 Sampling 2.1 General Protocols 2.2 Sampling Methods 2.2.1 Spot Sampling 2.2.2 On-Line Sampling and Analysis 2.2.3 Composite Sampling 2.3 Sampling Location 2.4 Sample Probe 2.5 Representative Sample 2.6 Sampling Error 2.7 Sample Container 2.8 Transportation 3 Volume Measurement 4 Method Validation 4.1 Requirements 4.2 Detection Limit 4.3 Accuracy 4.4 Precision 5 Quality Control and Quality Assurance 5.1 Quality Control 5.2 Quality Assurance 5.3 Specifications 6 References Chapter 6: Analytical Methods 1 Introduction 2 Chemical and Physical Analyses 2.1 Boiling Point Distribution 2.2 Low-Boiling Hydrocarbons 2.3 Density, Specific Gravity, and API Gravity 2.4 Evaporation Loss 2.5 Fire Point and Flash Point 2.6 Pour Point and Viscosity 2.7 Sulfur Content 2.8 Surface Tension and Interfacial Tension 2.9 Water Content 2.1 Other Tests 3 Chromatographic Analyses 3.1 Gas Chromatography 3.2 Gas Chromatography-Mass Spectrometry 4 Spectroscopic Analyses 4.1 Infrared Spectroscopy 4.2 Mass Spectrometry 4.3 Nuclear Magnetic Resonance Spectroscopy 4.4 Ultraviolet Spectroscopy 4.5 X-Ray Diffraction 5 Molecular Weight 6 Instability and Incompatibility 7 Use of the Data 8 References Chapter 7: Constituents of Gas Streams 1 Introduction 2 Methane 2.1 Chemical Properties 2.2 Physical Properties 3 Ethane 3.1 Chemical Properties 3.2 Physical Properties 4 Propane 4.1 Chemical Properties 4.2 Physical Properties 5 Butane 5.1 Chemical Properties 5.2 Physical Properties 6 Olefins and Di-Olefins 7 Gas Hydrates 7.1 Structure and Morphology 7.2 Properties 7.2.1 Electrical Resistivity 2.2.2 Electrical Conductivity 7.2.3 Heat of Dissociation 7.2.4 Specific Heat 7.2.5 Thermal Conductivity 7.2.6 Thermal Diffusivity 8 Other Gases 8.1 Coal Gas 8.2 Biogas 8.3 Landfill Gas 8.4 Flue Gas 9 References Chapter 8: Properties of Gases 1 Introduction 2 Composition 2.1 Petroleum Gases 2.2 Shale Gas 2.3 Refinery Gas 2.4 Coalbed Methane 2.5 Coal Gas 2.6 Biogas 2.7 Landfill Gas 2.8 Flue Gas 3 Properties 3.1 Compression and Expansion 3.2 Density and Formation Volume Factor 3.3 Copper Corrosion 3.4 Dew Point 3.5 Flammability and Explosive Properties 3.6 Gas Laws 3.7 Heat of Combustion 3.8 Liquefied Natural gas 3.9 Methane Number 3.1 Odorization 3.11 Relative Density 3.12 Residue 3.13 Sulfur Content 3.14 Vapor Pressure 3.15 Volatility 3.16 Viscosity 3.17 Water Content 4 Environmental Effects 5 References Chapter 9: Analysis of Gas Streams 1 Introduction 2 Types of Gases 2.1 Natural Gas 2.2 Shale Gas 2.3 Liquefied Petroleum Gas 2.4 Refinery Gas 2.5 Coal gas 2.6 Biogas 2.7 Landfill Gas 2.8 Flue Gas 3 Analytical Methods 3.1 Gas Chromatography 3.2 Infrared Absorption 3.3 Ultraviolet absorption 3.4 Chemiluminescence Detector (CLD) 3.5 Paramagnetic method 3.6 The dumb-bell analyzer 3.7 The differential pressure analyzer 3.8 Thermal conductivity method 3.9 Catalytic filament method 3.1 Flame ionization detection 3.11 Solid State Electrolyte Method 4 Properties of Gases 4.1 Chemical Properties 4.2 Physical Properties 4.2.1 Calorific Value 4.2.2 Composition 4.2.3 Density and Relative Density 4.2.4 Dew Point 4.2.5 Flammability 4.2.6 Higher Molecular Weight Hydrocarbons 4.2.7 Methane Number 4.2.8 Sulfur Content 4.2.9 Volatility and Vapor Pressure 4.2.10 Water Content 4.2.11 Wobbe Index 5 Other Gases 6 References Chapter 10: Properties and Analysis of Gas Condensate 1 Introduction 2 Types of Condensate 2.1 Gas Condensate 2.2 Lease Condensate 2.3 Plant Condensate 2.4 Light Naphtha 3 Production 4 Composition and Properties 4.1 Chemical Properties 4.2 Physical Properties 5 Test Methods 5.1 Aniline Point and Mixed Aniline Point 5.2 Benzene and Aromatics 5.3 Composition 5.4 Constant Composition Expansion Test 5.5 Constant Volume Depletion 5.6 Correlative Methods 5.7 Density 5.8 Detailed Hydrocarbon Analysis 5.9 Dew Point Pressure 5.1 Distillation 5.11 Evaporation Rate 5.12 Flash Point 5.13 Kauri-Butanol Value 5.14 Octane Number 5.15 Odor and Color 5.16 Olefin Content 5.17 Sulfur Content 5.18 Vapor Pressure 5.19 Viscosity 5.2 Volatility 7 References Conversion Factors Glossary.
• (source: Nielsen Book Data)9781119240303 20180723

A comprehensive resource to the origin, properties, and analysis of natural gas and its constituents Handbook of Natural Gas Analysis is a comprehensive guide that includes information on the origin and analysis of natural gas, the standard test methods, and procedures that help with the predictability of gas composition and behavior during gas cleaning operations and use. The author-a noted expert on the topic-also explores the properties and behavior of the various components of natural gas and gas condensate. All chapters are written as stand-alone chapters and they cover a wealth of topics including history and uses; origin and production; composition and properties; recovery, storage, and transportation; properties and analysis of gas stream and gas condensate. The text is designed to help with the identification of quality criteria appropriate analysis and testing that fall under the umbrella of ASTM International. ASTM is an organization that is recognized globally across borders, disciplines and industries and works to improve performance in manufacturing and materials and products. This important guide: Contains detailed information on natural gas and its constituents Offers an analysis of methane, gas hydrates, ethane, propane, butane, and gas condensate Includes information on the behavior of natural gas to aid in the planning for recovery, storage, transportation, and use Covers the test methods that are applicable to natural gas and its constituents Written in accessible and easy-to-understand terms Written for scientists, engineers, analytical chemists who work with natural gas as well as other scientists and engineers in the industry, Handbook of Natural Gas Analysis offers a guide to the analysis, standard test methods, and procedures that aid in the predictability of gas composition and behavior during gas cleaning operations and use.
(source: Nielsen Book Data)9781119240303 20180723

• 1. Ferromanganese Deposits 2. The Indian Ocean Nodule Field 3. Tectonics and Geomorphology 4. Basin Volcanics 5. Sediments 6. Ferromanganese Deposits - Characteristics 7. Ferromanganese Deposits - Genesis 8. Resource Assessment 9. Dimensions and Perspectives.
• (source: Nielsen Book Data)9780128054741 20180213

The Indian Ocean Nodule Field: Geology and Resource Potential, Second Edition, provides a view of the most recent studies along with classical theories starting from the 1960s. New concepts, hypotheses and critical appreciation of the state-of-the-art knowledge on nodule formation and resource management are featured in this new edition. The economy of the Indian Ocean has vast potential and yet it is one of the least studied oceans. Garnering economic advantage out of mineral resources from deep oceans has been a long cherished dream for the mining community. The availability of 5-metal rich polymetallic (manganese) nodules in specific areas of the Indian Ocean has lured researchers to discover more about their processes of formation, growth, distribution and enrichment.
(source: Nielsen Book Data)9780128054741 20180213

• Chapter 1: The Indian Ocean and its Associates 1.1 Uniqueness of Indian Ocean 1.2 The Indian Ocean and Sub-seas 1.3 Offshore Bed Rock Mineral Deposits 1.4 Sediment Pattern 1.5 Exclusive Economic Zone 1.6 Shallow Oceanic Mineral Deposits 1.7 Deep Oceanic Mineral Deposits References Chapter 2: Ores in the Deep Sea - Manganese Nodules 2.1 General 2.2 What are Mn - Nodules ? 2.3 Distribution of Manganese Nodules 2.4 Deep Sea Mineral Resources 2.5 Growth Pattern, Mineralogy and Geochemistry 2.6 Genesis of manganese nodules and manganese crusts 2.7 Mining Claims and Exploration 2.8 Indian Ocean Nodules References Chapter 3: Ores in the Deep-Sea - Cobalt and Platinum Rich Ferromanganese Crusts 3.1 The Cobalt Rich Crusts 3.2 Mineralogy and Geochemistry 3.3 Processes of Accretion and Formation 3.4 Crust Texture, Thickness, Rate of Growth and Substract Characteristics 3.5 Indian Ocean Occurrences References ã Chapter 4: Ores in the Deep - Seafloor Massive Sulfides (SMS) and Metalliferous Mud 4.1 Introduction 4.2 Nature, Distribution and Genesis of SMS Deposits and Metalliferous Mud 4.3 Seafloor Sulfides in the Indian Ocean 4.4 Volcanogenic Massive Sulfides (SMS) Deposits on the Mid-Indian Ocean Ridge 4.5 Hydrothermal Mineralization in the Andaman Sea 4.6 Industrial Interest in SMS 4.7 The Scientific Significance of SMS Research References Chapter 5: Shallow Oceanic and Coastal Mineral Deposits 5.1 General 5.2 Phospharite 5.3 Construction Material 5.4 Heavy Mineral Placers 5.5 Economic Consideration and Application of Rare Earths in High Technology 5.6. Factors Controlling Formation of Beach Placers 5.7 Exploration and Evaluation of Heavy Mineral Placer Deposits 5.8 Important Coastal Placer Deposits of India 5.9 Heavy Mineral Placer of East African Coast 5.10 Tin Placers of Southeast Asia 5.11 Resource Position References Chapter 6: Shallow Oceanic, Non-living Resource: Petroleum and Hydrocarbon 6.1 General 6.2 Potential Hydrocarbon Basins in the West Coast of India Arabian Sea 6.3 Hydrocarbon Potential Along Eastern Offshore in the Bay of Bengal 6.4 Hydrocarbon Potential in the Andaman Sea 6.5 Gas Hydrates Resources in the Bay of Bengal 6.6 Significance of the Andaman Sea 6.7 Hydrocarbon Potential in the East African Coast References Chapter 7: Living Resources - Fish and Fishery 7.1 Biomass for Fishery 7.2 Tuna Fishing in the Indian Ocean 7.3 Fish Catch Status 7.4 Tuna Fish in the Indian Ocean 7.5 Some Challenges of Fishing in the Indian Ocean 7.6 Fishing in the Southern Indian Ocean 7.7 Fishery in the Mangrooves of Indian Ocean 7.8 Fishing in the Indian EEZ 7.9 Fisheries Management and Best Practices in the Indian Ocean References Chapter 8: Energy and Fresh Water from the Ocean 8.1 Ocean Energyã and Types 8.2 The Monsoon Pattern and Thermal Structure 8.3 Ocean Thermal Energy Conversion (OTEC) 8.4 Ocean Wave Energy 8.5. Tidal Energy 8.6 Sweet Water from the Sea - Low Temperature Thermal Desalination Applications for Drinking Water References Chapter 9: Remotely Operated Vehicle (ROV) and Autonomous Underwater Vehicle (AUV) 9.1 General 9.2 Development Perspective 9.3 Tasks and Applications 9.4 Developmental Trends in ROV and AUV Technology 9.5 Non-Hydrocarbon related ROV and AUV uses / Technology Transfer 9.6 Future Trends References Chapter 10: Seabed Mineral Exploration and Deep-Sea Mining Technology 10.1 General 10.2 Exploration Methods for Manganese Nodules 10.3 Exploration for Massive Sulfides on the Mid-Oceanic Ridges 10.4 Extent and Grade of SMS Deposits 10.5 Technology Needs for Exploration and Mining 10.6 Mineral Processing and Refining 10.7 Other Factors References Chapter 11: Ocean Environment and Pollution 11.1 Environmental Issues 11.2 Environment and Tectonics, and Eustatic Sea Level Changes 11.3 Environmental Effects Due to Mining 11.4 Potential Environment Impact related to Phosphorite Mining 11.5 Wastes in the Deep Sea 11.6 Indian Ocean and Climate Change References Chapter 12: The Future Options - The Growing Ocean Economy 12.1 General 12.2 Exclusive Economic Zone in the Indian Ocean 12.3 Implications of EEZ in the Indian Ocean 12.4 Economics of Deep Sea Mining 12.5 Estimates of Demand 12.6 Future Demand and Ocean Economy of Deep Sea Mining 12.7 Research Ships and Ship Building in India 12.8 Techno-Business Opportunity in the Indian Ocean References References - Future Reading Glossary Index.
• (source: Nielsen Book Data)9781138095342 20180319

The current scenario provides an ideal opportunity to confer higher priority to the marine resources of the Indian Ocean, particularly in terms of integrated management of the deep sea, shallow sea and coastal resources. This will maximize their potential in the sustainable development goal (SDG) pattern, leading to an appropriate environmental management. Therefore, this book aims to provide an overview of the area and to highlight the potential market opportunities represented by this vast and rapidly developing nation. In doing so the following aspects have been covered: Exclusive title focussing on mineral resources of Indian ocean. Discusses living, nonliving, ocean waves and tidal energy, ocean environment and protection aspects. Includes information on key themes, details of organizations associated with the Indian Ocean. Illustrates deep sea mining technology and environmental perspectives. Covers hydrocarbons-sub sea oil and gas, minerals from placer deposits to deep sea nodules, sea floor massive sulphides and cobalt rich encrustations.
(source: Nielsen Book Data)9781138095342 20180319