Digital gas fields produce real time scheduling based on intelligent autonomous decentralized system

Abstract

In the paper, we focus on exploring to construct a novel digital gas fields produce real-time scheduling system, which is based on the theory of intelligent autonomous decentralized system (IADS). The system combines the practical demand and the characteristics of the gas fields, and it aims at dealing with the real-time property, dynamic and complexity during gas fields produce scheduling. Besides embodying on-line intelligent expansion, intelligent fault tolerance and on-line intelligent maintenance of IADS particular properties, the scheme adequately attaches importance to the flexibility. The model & method based on intelligent information pull push (IIPP) and intelligent management (IM) is applied to the system, thus it is helpful to improve the performance of the scheduling system. In according with the current requirement of gas fields produce scheduling, the concrete solvent is put forward. The related system architecture and software structure is presented. An effective method of solving the real-time property was developed for use in scheduling of the gas field produce. We simulated some experiments, and the result demonstrates the validity of the system. At Last, we predict its promising research trend in the future of gas fields practice application.