天然气下游大数据技术研究与应用综述  

Review on Research and Application of Big Data Technology in Natural Gas Downstream Market

作　　者：黄维和 张曦[2] 张元涛 郝迎鹏[2] 潘凯 张晗[2] 刘定智[2] HUANG Weihe;ZHANG Xi;ZHANG Yuantao;HAO Yingpeng;PAN Kai;ZHANG Han;LIU Dingzhi(China National Petroleum Corporation;PetroChina Planning and Engineering Institute)

机构地区：[1]中国石油天然气集团有限公司 [2]中国石油天然气股份有限公司规划总院

出　　处：《油气与新能源》2021年第4期1-5,共5页Petroleum and new energy

摘　　要：随着天然气市场竞争加剧和大数据技术飞速发展,天然气行业开始向数字化、智能化方向转型升级。通过分析大数据技术在天然气销量预测、天然气价格预测和天然气输运等方面的研究应用,论述了大数据技术在天然气下游应用的意义。同时借鉴电力市场先进经验,提出了创新性建议,即天然气下游销售企业要得到更多更快的发展,需要把企业自身特点和大数据技术相结合,充分挖掘市场数据价值。加深大数据技术在天然气下游市场的应用是一个必然趋势,天然气行业大数据技术应升级客户销量预测、加强基于一户一策的全产业链优化、实现市场仿真、利用数据为客户提供更多的增值服务。With the intense competition in the natural gas market and the rapid development of big data technology,the natural gas industry has begun to transform and upgrade to digitalization and intelligence.By analyzing the research and application of big data technology in sales forecast,price forecast,and transportation of natural gas,this paper discusses the significance of the downstream application of big data technology in natural gas.Meanwhile,it draws advanced experience from the electricity market,putting forward some innovative suggestions,that is,to achieve better and faster development of the downstream sales enterprises in natural gas,it is of necessity to implement research and application by combining their own characteristics with big data technology,fully making use of the value of market data,strengthening customer sales forecast of big data technology,optimizing the whole industry chain based on one household and one policy and simulating in the market of the natural gas.It would provide data for customers with more value-added services with the realization of intelligent management and refined marketing for enterprises.

关 键 词：大数据 天然气 市场 数据挖掘 人工智能 客户关系管理 

分 类 号：TE-9[石油与天然气工程]