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.
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.
"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)