Computational underground short-term mine planning: the importance of real-time data

Short-term mine plans are the key operational basis for ore production targets ranging from shift to weekly or monthly targets. Short-term plans cover detailed operational subprocesses such as development, extraction and backfill schedules as well as materials handling and blending processes. The ai...

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Main Authors: Matthäus, Antje, Dammers, Markus
Other Authors: TU Bergakademie Freiberg, Geowissenschaften, Geotechnik und Bergbau
Format: Others
Language:English
Published: Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola" 2018
Subjects:
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-231345
http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-231345
http://www.qucosa.de/fileadmin/data/qucosa/documents/23134/24.Computational%20Underground%20Short-Term%20Mine%20Planning_RTM2017-24_1b.pdf
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spelling ndltd-DRESDEN-oai-qucosa.de-bsz-105-qucosa-2313452018-03-23T03:26:50Z Computational underground short-term mine planning: the importance of real-time data Matthäus, Antje Dammers, Markus Real-Time Mining Konferenz Real-Time Mining Conference ddc:624 Bergbau Bergwerk Markscheidekunde Geoinformation Prospektion Short-term mine plans are the key operational basis for ore production targets ranging from shift to weekly or monthly targets. Short-term plans cover detailed operational subprocesses such as development, extraction and backfill schedules as well as materials handling and blending processes. The aim is to make long-term goals feasible by providing a constant plant feed that complies with quality constraints. Short-term mine planning highly depends on the accuracy of the resource model as well as the current production status and equipment fleet. Most of these parameters are characterized by uncertainties due to a lack of information and equipment reliability. At the same time, concentrate production and quality must be kept within acceptable ranges to ensure productivity and economic viability of the operation. Within the EU-funded Real-Time Mining project, the reduction of uncertainty in mine planning is carried by using real-time data. Ore and rock characteristics of active faces and equipment data are iteratively integrated in a simulation-based optimization tool. Therefore, predicted processing plant efficiencies can be met by delivering constant ore grades. Hence, a constant concentrate quality is ensured and long-term targets can be fulfilled. Consequently, a more reliable exploitation plan of the mineral reserve is facilitated. Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola" TU Bergakademie Freiberg, Geowissenschaften, Geotechnik und Bergbau 2018-03-22 doc-type:conferenceObject application/pdf http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-231345 urn:nbn:de:bsz:105-qucosa-231345 http://www.qucosa.de/fileadmin/data/qucosa/documents/23134/24.Computational%20Underground%20Short-Term%20Mine%20Planning_RTM2017-24_1b.pdf eng
collection NDLTD
language English
format Others
sources NDLTD
topic Real-Time Mining
Konferenz
Real-Time Mining
Conference
ddc:624
Bergbau
Bergwerk
Markscheidekunde
Geoinformation
Prospektion
spellingShingle Real-Time Mining
Konferenz
Real-Time Mining
Conference
ddc:624
Bergbau
Bergwerk
Markscheidekunde
Geoinformation
Prospektion
Matthäus, Antje
Dammers, Markus
Computational underground short-term mine planning: the importance of real-time data
description Short-term mine plans are the key operational basis for ore production targets ranging from shift to weekly or monthly targets. Short-term plans cover detailed operational subprocesses such as development, extraction and backfill schedules as well as materials handling and blending processes. The aim is to make long-term goals feasible by providing a constant plant feed that complies with quality constraints. Short-term mine planning highly depends on the accuracy of the resource model as well as the current production status and equipment fleet. Most of these parameters are characterized by uncertainties due to a lack of information and equipment reliability. At the same time, concentrate production and quality must be kept within acceptable ranges to ensure productivity and economic viability of the operation. Within the EU-funded Real-Time Mining project, the reduction of uncertainty in mine planning is carried by using real-time data. Ore and rock characteristics of active faces and equipment data are iteratively integrated in a simulation-based optimization tool. Therefore, predicted processing plant efficiencies can be met by delivering constant ore grades. Hence, a constant concentrate quality is ensured and long-term targets can be fulfilled. Consequently, a more reliable exploitation plan of the mineral reserve is facilitated.
author2 TU Bergakademie Freiberg, Geowissenschaften, Geotechnik und Bergbau
author_facet TU Bergakademie Freiberg, Geowissenschaften, Geotechnik und Bergbau
Matthäus, Antje
Dammers, Markus
author Matthäus, Antje
Dammers, Markus
author_sort Matthäus, Antje
title Computational underground short-term mine planning: the importance of real-time data
title_short Computational underground short-term mine planning: the importance of real-time data
title_full Computational underground short-term mine planning: the importance of real-time data
title_fullStr Computational underground short-term mine planning: the importance of real-time data
title_full_unstemmed Computational underground short-term mine planning: the importance of real-time data
title_sort computational underground short-term mine planning: the importance of real-time data
publisher Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola"
publishDate 2018
url http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-231345
http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-231345
http://www.qucosa.de/fileadmin/data/qucosa/documents/23134/24.Computational%20Underground%20Short-Term%20Mine%20Planning_RTM2017-24_1b.pdf
work_keys_str_mv AT matthausantje computationalundergroundshorttermmineplanningtheimportanceofrealtimedata
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