Modern intelligent information technologies in the oil industry

Abstract

An approach to improving the efficiency of oil production process control using intelligent technologies is described. A method is proposed for optimizing the structure, information and mathematical support of intelligent control systems for oil production facilities through the modular construction of hardware and software to achieve maximum efficiency based on complex private and global criteria. A block diagram of a three-level intelligent control system for downhole equipment, a control algorithm based on fuzzy logic with software implementation has been developed. On the basis of experimental modeling, the possibility of maintaining a given level of profitability in the operation of downhole oil production equipment is shown.