人工智能技术在油气综合能源系统中的应用研究综述  

The review of application of artificial intelligence technology in oil and gasintegrated energy system

作　　者：刘秀如 韩硕 李昱瑾 马文略 游双矫 朱新宇 岳小文[1] LIU Xiuru;HAN Shuo;LI Yujin;MA Wenlue;YOU Shuangjiao;ZHU Xinyu;YUE Xiaowen(PetroChina Planning and Engineering Institute;University of Science and Technology Beijing;Bureau of Social Responsibility,State-owned Assets Supervision and Administration Commission of the State Council)

机构地区：[1]中国石油天然气股份有限公司规划总院 [2]北京科技大学 [3]国务院国资委社会责任局

出　　处：《国际石油经济》2024年第7期7-16,61,共11页International Petroleum Economics

摘　　要：人工智能技术在综合能源系统中的应用主要包括能源管理、油气产能预测、负荷和发电量预测、故障检测和容错控制、储能系统智能调度等方面,其能够有效处理系统的随机性和负荷变化,提高系统的预测和调度能力,优化多能源系统的协调调度,提升整体能源利用效率。从人工智能技术的发展趋势看,基于大语言模型的综合智能体正在成为应用的主流模式,但在其应用过程中,仍然面临以下几个方面的挑战:1)多智能体系统中的协调与控制;2)物联网与边缘计算的应用;3)综合能源系统的优化与人机协作;4)绿色人工智能。The application of artificial intelligence technology in integrated energy systems mainly includes energy management,oil and gas production capacity forecasting,load and power generation forecasting,fault detection&fault-tolerant control,and intelligent scheduling of energy storage systems,etc.,which can effectively deal with system randomization and load variations,improve system forecasting and scheduling capabilities,optimize coordinated scheduling of multi-energy systems,and enhance overall energy utilization efficiency.From the development trend,the integrated intelligent agent based on large language models is becoming the mainstream mode of application,but it still faces challenges in such aspects in the process of its application as coordination and control in multi-entity systems,the application of the Internet of Things and edge computing,optimization of integrated energy systems and human-computer collaboration,and green artificial intelligence.

关 键 词：人工智能技术 油气资源 综合能源系统 协调调度 

分 类 号：TE3[石油与天然气工程—油气田开发工程] TP18[自动化与计算机技术—控制理论与控制工程]