[1]宫 敬 吴 冕 赵周丙 宋尚飞 戈志伟 虞维超.油气管网行业大模型的思考、研究及应用[J].油气储运,2025,44(04):1-20.
　GONG Jing,WU Mian,ZHAO Zhoubing,et al.Reflections, research, and applications of large models for the oil and gas pipeline network industry[J].Oil & Gas Storage and Transportation,2025,44(04):1-20.
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油气管网行业大模型的思考、研究及应用

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 44 期数: 2025年04期 页码: 1-20 栏目: 出版日期: 2025-04-25
Title:
Reflections, research, and applications of large models for the oil and gas pipeline network industry
作者:
宫 敬  吴 冕  赵周丙  宋尚飞 戈志伟 虞维超
Author(s):
GONG Jing;  WU Mian;  ZHAO Zhoubing;  SONG Shangfei;  GE Zhiwei;  YU Weichao
关键词:
油气管网; 行业大模型; 大模型架构; 多技术融合
Keywords:
oil and gas pipeline network;  industry large model;  large model architecture;  multi-technology fusion
分类号:
TE832
文献标志码:
A
摘要:
[目的]随着人工智能技术的飞速发展，大模型技术在众多领域得到广泛应用，展现出巨大潜力。油气管网作为国家能源输送的关键基础设施，其在智能化升级进程中的大模型技术应用潜力日益受到关注。然而，目前大模型技术在油气管网行业的应用尚未深入，面临着诸多难题。因此，深入推动大模型技术与油气管网行业的融合，成为提升该行业智能化水平的重要任务。[方法]从数据、算力、算法、研究模式四个关键维度出发，深入剖析了现有大模型在油气管网行业应用中面临的研究难点。在此基础上，基于智能油气管网系统建设与油气管网行业大模型建设的双重视角，提出了涵盖基础设施层、技术基座层、模型层及控制层的油气管网行业大模型体系架构。最后，依托该架构，针对性地为油气管网行业大模型建设过程中的难题提供了解决方案，制定了完整的技术路线。[结果]多维度构建的油气管网行业大模型体系架构，为油气管网智能化系统的建设、运行以及大模型的研发，提供了系统的技术支撑。基于架构提出的数据集构建方法、一体化平台、多技术融合技术路线以及大模型分层构建的解决方案，有效解决了研究过程中在数据、算力、算法、研究模式这四个维度所遇到的难题。将这些解决方案应用于天然气管网智能调控和天然气需求预测等场景，显著提升了相关领域的智能化水平。[结论]研究成果为油气管网行业的智能化升级提供了全面的技术指导，对提升智能管网的认知水平以及推动大模型在该行业的建设具有重要意义。未来，大模型在油气管网行业的应用将朝着全面化、深层次方向拓展。持续紧跟先进技术发展步伐、高度重视数据资产建设、大力推动技术融合，是提升油气管网行业智能化水平的关键所在。

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更新日期/Last Update: 2025-03-07