人工智能在天然气业务链中的应用探索与实践  

Application Exploration and Practice of Artificial Intelligence in Natural Gas Business Chain

作　　者：陈元科 邓启志 邓觅 刘燕[1] 代瑞 付联 CHEN Yuanke;DENG Qizhi;DENG Mi;LIU Yan;DAI Rui;FU Lian(Northwest Sichuan Gas Mine of Petro China Southwest Oil and Gas field Co.,Ltd.,Mianyang 621700,China)

机构地区：[1]中国石油天然气股份有限公司西南油气田分公司川西北气矿,四川绵阳621700

出　　处：《现代信息科技》2025年第2期110-114,共5页Modern Information Technology

摘　　要：针对天然气开采、集输、销售等传统业务模式难以满足现代能源市场需求的问题,利用人工智能技术对传统油气业务进行了研究。根据人工智能技术在各领域的发展优势,结合具体场景,从图像识别、预警监测、趋势预测等方面给出了该技术在天然气业务链中勘探、集输、巡检和销售等环节的具体探索与实践。结果表明,人工智能技术在天然气行业的落地应用,可有效提升生产效率和生产现场风险管控能力,进一步降低生产成本,推动行业可持续发展。In response to the problem that traditional business models such as natural gas extraction,gathering and transportation,and sales are unable to meet the demands of the modern energy market,this paper uses Artificial Intelligence technology to research traditional oil and gas businesses.Based on the development advantages of Artificial Intelligence technology in various fields,combined with specific scenarios,specific exploration and practice of this technology in exploration,gathering and transportation,inspection,and sales and other parts in the natural gas business chain are provided from the aspects of image recognition,early warning monitoring,trend prediction,and so on.The results indicate that the practical application of Artificial Intelligence technology in the natural gas industry can effectively improve production efficiency and on-site risk management and control capabilities,further reduce production costs,and promote sustainable development of the industry.

关 键 词：天然气 人工智能 图像识别 预警监测 趋势预测 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]