Long-term Planning of Coal Mines by Statistical Evaluation of Databases in Existing Mines

The Southern African Institute of Mining and Metallurgy
D. E. Kraushaar
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: D. E. Kraushaar  (1987)  Long-term Planning of Coal Mines by Statistical Evaluation of Databases in Existing Mines

MLA: D. E. Kraushaar Long-term Planning of Coal Mines by Statistical Evaluation of Databases in Existing Mines. The Southern African Institute of Mining and Metallurgy, 1987.

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