Use of Neural Information Processing Technologies for Design of Integrated Process Control Systems in Oil and Gas Production

摘要

This article is concerned, as applied to development of integrated process control systems for crude oil and natural gas production, with, within the framework of open information technologies, existing methods and means for integration and coordination of process control system components which have neural network elements of artificial intelligence. This article is also dealt with main technical solutions realized when developing process control systems.