Overview
- Presents a game-changing technology to utilize big data in mining operations for improved prediction and decision making
- Combines traditional methods from geostatistics with approaches from data assimilation
- Provides two full-scale case studies illustrating the potential value gains
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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Table of contents (5 chapters)
Keywords
- Mineral Resource Extraction
- Resource and Grade Control Models
- Geostatistical Modelling
- Sensor Based Material Characterization
- Grade Control Model Reconciliation
- Data Assimilation for Sequential Model Updating
- Closed-Loop Monitoring and Control
- Optimization in Mine Planning and Operations Control
- Geometallurgical Modelling
About this book
This book describes an innovative closed-loop concept that allows the feedback of online data from operational monitoring to create mining intelligence. The application of this concept promises significant improvements in economic and environmental key performance indicators for any mining operation.
Combining theory with industrial case studies, the book guides readers through this process by providing theoretical background, addressing practical issues related to operational implementation, and illustrating the impact on selected examples. This new concept is presented using the example of a bulk and gold mining application, but is applicable at any mine where grade control is important.
The book is of interest to industrial professionals involved in operational monitoring, mining intelligence, and mine planning optimization, as well as to researchers and academics in the field of applied geostatistics.Reviews
“This work of Jörg Benndorf presents an innovative proposal for (short-term) mine planning, which is a critical contribution to placing mineral resources in the real-time mining workflow concept. … I highly recommend this book, both for students looking for opportunity paths and trends in these new times for geosciences and mining engineering, and for practitioners facing fast changes to mining industry methodologies and procedures.” (Amilcar Soares, MathematicalGeosciences, Vol. 53, 2021)
Authors and Affiliations
About the author
Dr. Jörg Benndorf is a mining professional with 10 years’ industry and 9 years’ academic experience. In industry, he worked as project leader and project manager for large investment projects, mine planning engineer, operational engineer and consultant in Germany, Australia, USA, and Jamaica. His interests include process optimization along the whole mining value chain from exploration to processing. From 2012 to 2016 he was Assistant Professor of Resource Engineering at the Delft University of Technology in the Netherlands. His research focuses on methods of geomonitoring and real-time data integration, geostatistical modeling and geological risk assessment. Since 2016 he has held a full professorship in Geomonitoring and Mine Surveying at the University of Mining and Technology “Bergakademie” Freiberg in Germany. Dr. Benndorf graduated from the same university, and he holds a PhD in Mining Geostatistics from TU Clausthal in Germany and an MPhil in Mining Engineering from the University of Queensland in Australia.
Bibliographic Information
Book Title: Closed Loop Management in Mineral Resource Extraction
Book Subtitle: Turning Online Geo-Data into Mining Intelligence
Authors: Jörg Benndorf
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-030-40900-5
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-40899-2Published: 14 February 2020
eBook ISBN: 978-3-030-40900-5Published: 13 February 2020
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: VIII, 104
Number of Illustrations: 8 b/w illustrations, 54 illustrations in colour
Topics: Fossil Fuels (incl. Carbon Capture), Geotechnical Engineering & Applied Earth Sciences