Use of Neural Networks for Simulation of Pump Equipment Operation for a Feed Preparation Complex of an Oil-and-gas Production Enterprise

Abstract

Creation of a system of computer-aided analysis of pump equipment functioning is an actual problem of design and development of nodes and units for increasing of estimation reliability of products operation, for real-time diagnostics of operation, and for support of real-time decisions for elimination of faults. Owing to wide approximation abilities of a neural network computational architecture it is possible to create multi-parametric simulation mathematical models of complex technical systems intended for identification of operation parameters and criteria of operability. Applying this approximation it is possible to develop an optimization strategy of pump equipment control, upgrade of diagnostic and emergency protection systems.