Application of neural network technology for modelling well operation and fluid filtration processes in oil reservoirs

Mathematical simulation of oil reservoirs drilled by systems of wells is one of the compulsory stages of a design and feasibility study of technological schemes for oil field development. This simulation is based on formulation and numerical solution of simultaneous equations with partial derivatives under the relevant boundary and initial conditions. For the present, such mathematical simulation remains a tool for specialists, researchers. The paper considers a possible approach for problem solution of simulation and prediction using neural network technology. One of the possible variants for creation of such system is considered. The substantiation of its architecture is given. The system of input and output data as well as the operation scheme is described