TY - JOUR
T1 - Value of Information Introduced by a Resource Model Updating Framework
AU - Yüksel, Cansın
AU - Minnecker, Corinna
AU - Shishvan, Masoud Soleymani
AU - Benndorf, Jörg
AU - Buxton, Mike
PY - 2018/1/1
Y1 - 2018/1/1
N2 - A primary concern of the mining industry is to meet production targets, which are required and defined by customers. Deviations from these targets, in terms of quality and quantity, highly affect the economical aspect. Recently, an efficient resource model updating framework concept has been proposed aiming for the improvement of raw material quality control and process efficiency in any type of mining operation. The concept integrates online sensor measurements, obtained during production, into the resource model. In this way, due to the spatial variability, quality attributes of the blocks that will be produced in the next days or weeks are being updated based on real-time measurements. The concept has been applied in a lignite field with the aim of identifying local impurities in a lignite seam and to improve the prediction of coal quality attributes in neighbouring blocks. This paper investigates the added value of using the resource model updating framework by using the value of information analysis. The expected benefit of additional information (integration of the online sensor measurements into the resource model) is compared to a case where there is no additional information integrated into the process. These benefits are evaluated based on the economic impact determined by applying the resource model updating framework in mine planning.
AB - A primary concern of the mining industry is to meet production targets, which are required and defined by customers. Deviations from these targets, in terms of quality and quantity, highly affect the economical aspect. Recently, an efficient resource model updating framework concept has been proposed aiming for the improvement of raw material quality control and process efficiency in any type of mining operation. The concept integrates online sensor measurements, obtained during production, into the resource model. In this way, due to the spatial variability, quality attributes of the blocks that will be produced in the next days or weeks are being updated based on real-time measurements. The concept has been applied in a lignite field with the aim of identifying local impurities in a lignite seam and to improve the prediction of coal quality attributes in neighbouring blocks. This paper investigates the added value of using the resource model updating framework by using the value of information analysis. The expected benefit of additional information (integration of the online sensor measurements into the resource model) is compared to a case where there is no additional information integrated into the process. These benefits are evaluated based on the economic impact determined by applying the resource model updating framework in mine planning.
KW - Lignite
KW - Mine planning
KW - Optimization
KW - Real application
KW - Resource model updating
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85056354636&partnerID=8YFLogxK
U2 - 10.1007/s11004-018-9770-x
DO - 10.1007/s11004-018-9770-x
M3 - Article
AN - SCOPUS:85056354636
SN - 1874-8961
VL - 51 (2019)
SP - 925
EP - 943
JO - Mathematical Geosciences
JF - Mathematical Geosciences
ER -