© 2020

Closed Loop Management in Mineral Resource Extraction

Turning Online Geo-Data into Mining Intelligence


  • 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 SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Jörg Benndorf
    Pages 1-4
  3. Back Matter
    Pages 103-104

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.


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

Authors and affiliations

  1. 1.Department of Mine Surveying and GeodesyUniversity of Technology Bergakademie FreibergFreibergGermany

About the authors

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
  • Series Abbreviated Title SpringerBriefs in Applied Sciences
  • DOI
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Energy Energy (R0)
  • Softcover ISBN 978-3-030-40899-2
  • eBook ISBN 978-3-030-40900-5
  • 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
  • Buy this book on publisher's site
Industry Sectors
Oil, Gas & Geosciences