The work deals with the development of an automated information system on the basis of a modified neural network original algorithm for monitoring and inventory management and suppling systems, the placement of repair kits and components in the sources of replenishment spare parts. The results of the developed model serve as the basis for minimizing the objective function of the waiting time of the beginning of repairs in the event of failures or emergency situation occurring during the industrial drilling of oil and gas wells. The use of a neural network model consisting of one output with a single hidden layer containing an equal number of neurons to the inputs of the model makes it possible to estimate the residual resource of the drilling rig components taking into account the chosen strategy for operating the equipment. Based on the proposed simulation model, a software package has been developed that can be used to support the work of the operator of the drilling rig, as well as to monitor the condition of the drilling rig and its timely supply with spare parts.

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