A Methodology for Estimating Reserves from Resource Models
    
    - Organization:
 - The Australasian Institute of Mining and Metallurgy
 - Pages:
 - 8
 - File Size:
 - 472 KB
 - Publication Date:
 - Jan 1, 1987
 
Abstract
The investment worth of a mineral deposit can only be realistically  evaluated in relation to specific engineering design criteria, which fully  details the proposed method of exploitation. These criteria have not in  general been taken into serious consideration when leaseholders have  reported reserves in the past. In fact, many "reserve" figures quoted are  probably more correctly classified as geological resources. The industry now recognises that it is necessary to take into  consideration not only grade and mill recovery factors, but also likely  mining and processing costs as well as the current market price for the  commodity. Once having estimated those costs which are applicable to the resource  under study, they can be deducted from the gross inherent worth of the  orebody to result in an estimate of the potential net revenue. Through a process of interactive trial mine designs and evaluation,  reserves can be quantified to provide an estimate of the available  recoverable economic reserves given a set of assumed cost and operational  parameters. It follows then, that the available economic reserve recoverable from  a given resource will vary from time-to-time as cost and price factors vary  in response to changing technology and economic factors. A methodology is described which may be used to derive economic  recoverable reserves based on a computerised model of the geological  resource data and appropriate economic and operational cost algorithms.  Examples are provided from both coal and gold studies to illustrate the  impact of economic criteria on the magnitude of the reserve figure reported  for each project.
Citation
APA: (1987) A Methodology for Estimating Reserves from Resource Models
MLA: A Methodology for Estimating Reserves from Resource Models. The Australasian Institute of Mining and Metallurgy, 1987.