SENSITIVITY INVESTIGATION OF DEVELOPMENT PROGRAM AND MINING RISK AT A COAL MINE

L.N. Zacharova, V.V. Nazimko

A stochastic model has been developed to investigate sensitivity of a coal mining program. This model uses the mathematical graph having vector weights that were calculated by sampling procedure. Artificial neural network have been trained to determine stochastic variation of entry driving and longwall advance rates. Parameters of stochastic functions have been found for coal extraction technology. Coal extraction project demonstrates maximum sensitivity to fault destruction of the coal seams.

Key words: Stochastic simulation, project management, risk, sensitivity, neural network.