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Elsevier

Libros en Geología Económica

  • Sustainability in Geology and Mining

    Cutting-Edge Methods and Technologies
    • 1 Edición
    • Hoang Nguyen + 6 más
    • Inglés
    Sustainability in Geology and Mining: Cutting-Edge Methods and Technologies offers the latest thinking on sustainable and responsible mining practices, including environmental impact assessments and ethical mining regulations. Chapters explore a comprehensive range of topics, including geological exploration techniques and innovative prospecting technologies such as satellite imaging and artificial intelligence. Applications such as mineral resource assessment and estimation methods, various mining techniques, and mineral processing and extraction processes are covered. Discussions on environmental and social considerations, regulatory frameworks, and future trends and challenges offer diverse perspectives and in-depth insights.Readers will find an impressive collection of expert contributing authors who reflect on the industry's growing commitment to ethical and eco-conscious approaches. Practitioners in geology and mining will find a great deal to explore and further consider in this fascinating look at the opportunities for sustainability in mining.

  • Restoration and Sustainable Development of Mine-Affected Soils and Degraded Lands

    Advances for Natural Resources Conservation and Land Sustainability
    • 1 Edición
    • Jaume Bech + 3 más
    • Inglés
    Restoration and Sustainable Development of Mine-Affected Soils and Degraded Lands: Advances for Natural Resources Conservation and Land Sustainability delves into the latest advancements in sustainable post-mining land development. This comprehensive volume begins by assessing environmental legacies from mining activities, considering their impacts on different environmental spheres such as the pedosphere, biosphere, hydrosphere, and atmosphere. It explores the interconnections between these spheres and the material fluxes that result from mining interventions, offering in-depth analysis for professionals in the field. The book also discusses the prediction and analysis of environmental benefits and challenges related to mine closures and the transition to renewable energy.It includes social and economic opportunities and obstacles of mine closure and the phasing out of coal, viewed from regional, national, and global standpoints. Management approaches are examined, considering environmental, socio-economic, and political challenges, drawing insights from successful experiences and lessons learned. Finally, the connection between soil and human health in mine-affected areas is analyzed, providing a valuable resource for mining engineers, soil scientists, and environmental resource managers.

  • Acid Mine Drainage

    Sustainable Mining Practices for Mitigating Environmental Impact
    • 1 Edición
    • Athanas Simon Macheyeki + 2 más
    • Inglés
    Acid Mine Drainage: Sustainable Mining Practices for Mitigating Environmental Impact provides an in-depth analysis of acid mine drainage (AMD) and its profound effects on ecosystems and communities surrounding mining operations. The book begins by explaining the nature of AMD, including its formation, environmental and socioeconomic impacts, and methods for predicting and monitoring its occurrence. It emphasizes the importance of effective sampling techniques and the use of predictive modeling tools to understand and manage AMD risks. The text explores both conventional and non-conventional mitigation strategies, detailing active and passive treatment methods, including innovative biotechnological approaches and ecosystem-based solutions. It also highlights case studies that showcase successful AMD management practices while addressing the challenges faced in high-impact regions. Finally, the book discusses future directions for sustainable mining practices, emphasizing the need for collaborative resilience and the adoption of innovative solutions to close existing gaps in AMD management.This comprehensive overview serves as an essential resource for researchers and industry professionals committed to reducing the environmental impact of mining activities while promoting sustainable resource management.

  • Mine Tailings

    Fundamental and Engineering Aspects of Colloidal/Fine Mine Wastes
    • 1 Edición
    • Akira Otsuki + 3 más
    • Inglés
    Mine Tailings: Fundamental and Engineering Aspects of Colloidal/Fine Mine Wastes offers an in-depth examination of mine waste and related issues such as storage, safety, environmental impact, water management, and sustainability. The book begins with a review of regulations and global standards for tailings management that is followed by an analysis of common types of tailings storage facilities. The book delves into the behavior of tailings materials, including particle interactions, dispersion/aggregati... and the rheology of mineral suspensions. It covers soil mechanics and toxic substance treatment, as well as managing the closure and safety of mine waste management facilities.Additiona... it addresses the environmental, social, and governance factors essential for sustainable mining operations, making it a valuable resource for those concerned with mine waste management. This comprehensive text is crucial for researchers and engineers aiming to understand and mitigate the impacts of mine waste.

  • Metallophytes in Mineral Mining

    • 1 Edición
    • Vimal Chandra Pandey + 3 más
    • Inglés
    Metallophytes in Mineral Mining offers a cutting-edge look at the emerging technology of phytomining (or agromining) for the farming of metals in metal-rich soils. Metallophytes-based mineral mining is a rapidly growing field due to its potential contribution to socio-economic and ecological sustainability. The authors begin with a thorough overview of metallophytes and the analysis of metal-rich soils. The following chapters look closely at phytomining versus phytoremediation, metal transporter in hyperaccumulator plants, and microbe-assisted phytomining. The authors also carefully consider the implications of conserving metallophytes biodiversity. Finally, several case studies of valuable metals in agromining round out the chapters. This pioneering text provides the latest work and perspectives on metallophytes in mineral mining and how it may support sustainability.

  • Baseline Geoscience Data Generation for Sustainable Exploration of Natural Resources

    • 1 Edición
    • O.P. Mishra + 1 más
    • Inglés
    Baseline Geoscience Data Generation for Sustainable Exploration of Natural Resources offers a comprehensive examination of the critical role that baseline geoscience data plays in the sustainable exploration of natural resources. The book highlights the importance of global geophysical mapping as a catalyst for mineral exploration, providing an overview of various geophysical techniques essential for generating baseline data. It explores advanced methodologies in potential field surveying, geoelectrical surveying, electromagnetic techniques, and remote sensing, underscoring their applications in sustainable resource management. The text also examines geospatial surveying techniques, including GIS and GPS, and introduces innovative drone-based geoscientific surveying methods that enhance data collection efficiency.Additiona... the book covers seismic surveying techniques and marine mineral resource exploration, offering a global perspective on national geophysical mapping programs and their significance in mineral exploration. The discussion on emerging technologies, including artificial intelligence and machine learning, emphasizes the need for ethical considerations in resource exploration. Through case studies and practical applications, readers gain insights into effective data acquisition planning and strategies for utilizing geophysical applications in mineral exploration.

  • Biohydrometallurgy of Rare Earth Ores

    • 1 Edición
    • Hongbo Zhao + 3 más
    • Inglés
    Biohydrometallurgy of Rare Earth Ores offers an in-depth exploration of innovative bioleaching techniques for the extraction of rare earth elements that is critical for various high-tech applications. The book begins with foundational concepts in bioleaching, explaining how microorganisms and their metabolites can facilitate the extraction of REEs from ores. Further sections examine different biological approaches, including the use of native and genetically improved microorganisms, and highlight the role of coordination chemistry in enhancing leaching processes. The text also delves into comparative analyses of chemical versus bioleaching methods, emphasizing the advantages of biological techniques in terms of efficiency and environmental sustainability.Addit... the book addresses the environmental impacts of bioleaching practices, providing a holistic view of the sustainability of these methods while also detailing the recovery processes of REEs from bioleaching solutions and exploring various methods such as inorganic and organic precipitation, biosorption, and the utilization of waste-derived metabolites. It will serve as a valuable resource for researchers, practitioners, and industry professionals interested in the sustainable extraction of rare earth elements.

  • Introduction to Mining Geostatistics

    Intuitive Applications With Excel and R
    • 1 Edición
    • Konstantinos Modis + 1 más
    • Inglés
    Introduction to Mining Geostatistics: Intuitive Applications with Excel and R is a practical and accessible guide to geostatistical techniques in mineral exploration, with a strong focus on reserves estimation. Designed for students, researchers, and industry professionals, this book blends fundamental concepts of theory with hands-on applications, using Excel and R to simplify complex analyses.Key topics include:Essential Statistical Foundations – Master core data analysis techniques for ore reserves estimation.Sampling Strategies & Error Analysis – Minimize uncertainty and improve data reliability.Spatial Analysis & Kriging – Use variograms, covariance functions, and Kriging algorithms to estimate unknown values from borehole data.Multivariate Geostatistics – Model interdependent variables to enhance accuracy and predictive power.Stochastic Simulation – Explore alternative estimation methods for risk assessment and scenario analysis.Reserve Classification & Reporting – Understand global classification systems and key reserve estimation parameters.Filled with real-world case studies and practical examples, this book bridges theory and application, making geostatistics intuitive and approachable. Whether you're optimizing exploration projects, improving resource estimates, or conducting economic risk assessments, this guide equips you with the tools to make informed decisions.

  • Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

    Prediction Models Exploiting Well-Log Information
    • 1 Edición
    • David A. Wood
    • Inglés
    Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

  • Artificial Intelligence for Subsurface Characterization and Monitoring

    • 1 Edición
    • Aria Abubakar
    • Inglés
    Artificial Intelligence for Subsurface Characterization and Monitoring provides an in-depth examination of how deep learning accelerates the process of subsurface characterization and monitoring and provides an end-to-end solution. In recent years, deep learning has been introduced to the geoscience community to overcome some longstanding technical challenges. This book explores some of the most important topics in this discipline to explain the unique capability of deep learning in subsurface characterization for hydrocarbon exploration and production and for energy transition. Readers will discover deep learning methods that can improve the quality and efficiency of many of the key steps in subsurface characterization and monitoring.The text is organized into five parts. The first two parts explore deep learning for data enrichment and well log data, including information extraction from unstructured well reports as well as log data QC and processing. Next is a review of deep learning applied to seismic data and data integration, which also covers intelligent processing for clearer seismic images and rock property inversion and validation. The closing section looks at deep learning in time lapse scenarios, including sparse data reconstruction for reducing the cost of 4D seismic data, time-lapse seismic data repeatability enforcement, and direct property prediction from pre-migration seismic data.