Advanced Analytics In Mining Engineering
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Advanced Analytics in Mining Engineering
In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.
Data Analytics Applied to the Mining Industry
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors
Coal Preparation Technique in Mining Engineering
Author: Prof. Dr. Bilal Semih Bozdemir
language: en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date:
Coal Preparation Technique in Mining Engineering Introduction to Coal Preparation Importance of Coal Preparation in Mining Historical Development of Coal Preparation Coal Formation and Composition Coal Classification based on Rank Coal Characterization and Analysis Sampling and Handling of Coal Coal Preparation Process Overview Comminution: Crushing and Grinding Size Reduction Principles and Equipment Screening and Classification Techniques Gravity Separation: Dense Media Separation Gravity Separation: Jigging and Tabling Froth Flotation for Fine Coal Cleaning Dewatering and Thermal Drying Techniques Environmental Considerations in Coal Preparation Water Management in Coal Preparation Plants Coal Preparation Plant Design Factors Plant Layout and Equipment Arrangement Automation and Control Systems in Coal Prep Maintenance and Optimization Strategies Coal Fines Utilization and Beneficiation Coal Slurry Transportation and Disposal Safety and Health Aspects in Coal Prep Regulatory Compliance in Coal Preparation Emerging Technologies in Coal Preparation Dry Coal Separation Techniques Advanced Sensor-based Sorting Methods Coal Preparation Economics and Feasibility Supply Chain and Logistics Management Sustainability and Environmental Impacts Global Trends in Coal Preparation Case Studies of Successful Coal Prep Plants Challenges and Future Research Directions Integrated Approach to Coal Beneficiation Conclusion and Key Takeaways