Scholarly record
MINE DATA BEFORE ORE: HARNESSING MINING DATA TO IMPROVE MINE PERFORMANCE
Abstract
One of the most difficult challenges is to produce intelligent, actionable information on operational performance, resources, and reserves when the supporting data is scattered across the mine operation or even geographically dispersed. The problem is that traditional approaches to using data in the mining industry is not capable of delivering the right information to the right people, at the right time, and in the form they need. A number of external forces, however, are exerting pressure on mining companies today to leverage this information more effectively. Using standards based databases mine operations can seek to control cost, to comply with international regulatory statutes, to be able to overcome the shortage of skilled mining professionals by automating work flows and establishing best practices, and to ultimately maximize long-term profitability. The paper seeks to illustrate these issues and how some mine operations have addressed them.
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