天然气勘探与开发2026，Vol.49Issue(1)：1-14,14.DOI:10.12055/gaskk.issn.1673-3177.2026.01.001
人工智能大模型在天然气勘探开发中的应用现状
Application of large-scale AI models in natural gas exploration and development
摘要
Abstract
To break through the technical bottlenecks constraining China's natural gas supply,this study systematically reviews the feasible application scenarios of large-scale artificial intelligence(AI)models in natural gas exploration and development.Taking DeepSeek as an example,an approach integrating technology transfer with case study is adopted,to construct a technology transfer pathway suitable for the natural gas sector by summarizing the paradigm of DeepSeek in industry applications.Furthermore,based on the practices of domestic oil and gas enterprises,the application scenarios of foundation models are thoroughly demonstrated.The following results are obtained.(i)In terms of knowledge management,foundation models can establish intelligent Q&A systems,internalize vast amounts of unstructured data,systematize expert experiences,and significantly enhance decision-support efficiency.(ii)Regarding data processing and interpretation,the multimodal fusion capability of foundation models enables the unified handling of multi-source data such as seismic and logging data,achieving intelligent extraction of geological features and accurate reservoir characterization to facilitate"sweet spot"prediction.(iii)For engineering operations,computer vision-based intelligent recognition technology for core thin sections allows for automatic and objective geological description.(iv)In production optimization,time-series forecasting and reinforcement learning models are leveraged to achieve real-time field-wide scheduling,fault warning,and operational optimization,thereby improving oil and gas recovery.(v)The deployment of large-scale AI models in natural gas exploration and development still faces challenges in respect to data security,domain-specific knowledge integration,model generalization,and system integration.In conclusion,exemplified by DeepSeek,large-scale AI models provide a key technological pathway for shifting the paradigm from"experience-driven"to"data-and model-driven".In the future,by deepening domain knowledge embedding,exploring the synergy between large-scale and small-scale models,constructing human-machine collaborative platforms,and refining security frameworks,the intelligentization of natural gas exploration and development will be vigorously promoted,offering technical support for ensuring national energy security.关键词
人工智能/天然气勘探开发/DeepSeek/语言大模型/多模态大模型/行业大模型/应用场景Key words
Artificial intelligence/Natural gas exploration and development/DeepSeek/Large language model/Multimodal foundation model/Domain-specific foundation model/Application scenario分类
能源科技引用本文复制引用
张烈辉,倪美琳,赵玉龙,李慧琳,曾星杰,杨春艺,罗山贵..人工智能大模型在天然气勘探开发中的应用现状[J].天然气勘探与开发,2026,49(1):1-14,14.基金项目
青年科学基金项目(A类)(原国家杰出青年科学基金项目)"油气藏渗流力学"(编号:51125019) （A类）
国家自然科学基金委员会青年基金项目"基于物理图神经网络的井间连通性智能识别理论与方法"(编号:52404040). （编号:52404040）
