Long-term Planning of Coal Mines by Statistical Evaluation of Databases in Existing Mines
    
    - Organization:
 - The Southern African Institute of Mining and Metallurgy
 - Pages:
 - 11
 - File Size:
 - 554 KB
 - Publication Date:
 - Jan 1, 1987
 
Abstract
Ruhrkohle in West Germany evaluates and compares the net present values of long-term periods from its coal mines by a computer assisted long-term planning system. Two main parts of this system are computer programs for the prediction of:     (a) mineable reserves and their distribution in longwall panels as a function of dependent geological variables;   (b) daily outputs and costs of longwall panels as a function of dependent geo- logical, layout and operational variables.    This paper describes the investigations, which ended in the above computer programs:    ? the collection of information from past workings and their organization in databases;  ? the statistical evaluation of the databases, and   ? the resulting correlation formulas.    The correlation formulas vary the mean dependent variables as a function of independent variables which can be indicated with high reliability for planning projects in the long run. The system thus serves the purpose of facilitating long-term planning and excluding biased individual judgement of local planning staffs.
Citation
APA: (1987) Long-term Planning of Coal Mines by Statistical Evaluation of Databases in Existing Mines
MLA: Long-term Planning of Coal Mines by Statistical Evaluation of Databases in Existing Mines. The Southern African Institute of Mining and Metallurgy, 1987.