Advanced Analytics in Mining Engineering
1st Edition
By Ali Soofastaei
Copyright Year ©
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Description
Book Description
Advanced Analytics in Mining Engineering is a practical and comprehensive guide to applying artificial intelligence, machine learning, optimisation, simulation, digital twins, and decision intelligence across the mining value chain. Written for mining professionals, data scientists, researchers, technology leaders, and postgraduate students, the book explains how to convert complex industrial data into safer, more productive, more sustainable, and more profitable mining decisions. The book connects analytics methods with real mining engineering domains, including exploration, resource modelling, geometallurgy, mine planning, drill and blast, load and haul, mineral processing, maintenance, energy, safety, tailings, logistics, and commercial performance. It emphasises the integration of data quality, engineering context, physical constraints, model governance, human decision-making, and measurable value creation.
Table of Contents
Chapter 1: Mining Engineering in the Age of Advanced Analytics Chapter 2: The Mining Value Chain as a Data and Decision System Chapter 3: Mining Data Sources, Architecture, and Governance Chapter 4: Analytics, Machine Learning, and AI Foundations for Mining Chapter 5: Domain-Driven Feature Engineering and Contextualisation Chapter 6: Exploration Analytics and Target Generation Chapter 7: Resource Modelling, Grade Control, and Uncertainty Chapter 8: Geometallurgy and Orebody Knowledge Systems Chapter 9: Mine Planning, Scheduling, and Scenario Analytics Chapter 10: Drill and Blast Analytics Chapter 11: Load, Haul, Dispatch, and Fleet Performance Analytics Chapter 12: Mineral Processing and Plant Performance Analytics Chapter 13: Mine-to-Mill and Pit-to-Port Optimisation Chapter 14: Energy, Emissions, and Water Analytics Chapter 15: Asset Management, Reliability, and Predictive Maintenance Chapter 16: Safety, Geotechnical, Tailings, and Operational Risk Analytics Chapter 17: Supply Chain, Product Quality, and Commercial Analytics Chapter 18: Digital Twins, Simulation, and Prescriptive Optimisation Chapter 19: Generative AI and Knowledge Systems for Mining Chapter 20: Model Deployment, MLOps, and Industrialisation Chapter 21: Analytics Operating Models and Change Management Chapter 22: Business Cases, Value Assurance, and Portfolio Management Chapter 23: Responsible AI, Cybersecurity, and Ethics in Mining Analytics Chapter 24: The Future of Intelligent Mining Engineering
Editor
Dr. Ali Soofastaei
Biography
​Dr. Ali Soofastaei is a global artificial intelligence (AI) projects leader, an international keynote speaker, and a professional author.
​He completed his Ph.D. and Postdoctoral Research Fellow at The University of Queensland, Australia, in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. As a scientific supervisor, for many years, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology.
Dr. Soofastaei has more than fifteen years of academic experience as an Assistant Professor and leader of global research activities. Results from his research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia. He has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams. Dr. Soofastaei is working actively with some prestigious global publishers same as Mc Graw-Hill Education, Intech Open, Springer, and CRC Press as an author and academic editor.
