基于人工智能大模型的智能油气田建设方法探讨
Exploration of development methods for intelligent oil and gas fields based on large AI models
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- 引用格式:
-
胡耀义,胡鑫一,李默宇,孔祥焕,柴瑞.基于人工智能大模型的智能油气田建设方法探讨[J].天然气与石油,2025,43(3):132-137.doi:10-3969/j.issn.1006-5539.2025.03.018
HU Yaoyi, HU Xinyi, LI Moyu, KONG Xianghuan, CHAI Rui.Exploration of development methods for intelligent oil and gas fields based on large AI models[J].Natural Gas and Oil,2025,43(3):132-137.doi:10-3969/j.issn.1006-5539.2025.03.018
- DOI:
- 10-3969/j.issn.1006-5539.2025.03.018
- 作者:
- 胡耀义1 胡鑫一2 李默宇3 孔祥焕1 柴瑞1
HU Yaoyi1, HU Xinyi2, LI Moyu3, KONG Xianghuan1, CHAI Rui1
- 作者单位:
- 1. 中国石油工程建设有限公司西南分公司, 四川 成都 610041; 2. 兰州工商学院经济学院, 甘肃 兰州 730101; 3. 中国石油工程建设有限公司, 北京 100120
1. CPECC Southwest Company, Chengdu, Sichuan, 610041, China; 2. School of Economics, Lanzhou Technology and Business College, Lanzhou, Gansu, 730101, China; 3. CPECC, Beijing, 100120, China
- 关键词:
- 智能油气田;人工智能;大模型;系统架构;数据资产;智能应用
Intelligent oil and gas fields; Artificial Intelligence(AI); Large model; System architecture; Data assets; Intelligent applications
- 摘要:
随着数智与信息技术的飞速进步和应用场景的不断拓展,人工智能大模型在不同领域发挥着越来越重要的作用。人工智能大模型拥有超大规模参数和超强计算资源,不仅能够处理复杂任务、提升预测和决策准确性,还能适应多种应用场景,推动整个油气行业的科技进步和产业发展。设计了基于人工智能大模型的智能油气田建设方法,旨在通过人工智能大模型释放的数据资产价值,形成基于中台统一服务的油气田规划设计、建设和生产经营管理方法。通过深度挖掘人工智能大模型的应用潜力,融合小模型与机理模型的独特优势,开展以人工智能大模型为基础的智能油气田建设,促进智能油气田地上地下一体化、建设运行一体化和经营管理一体化。基于人工智能大模型的智能油气田建设方法将催生由人工智能驱动的现场操作、生产运行和经营管理决策的新质生产力,从而实现油气田建设和经营管理的提质、降本和增效。
With the rapid advancement of intelligent and information technologies and the continuous expansion of application scenarios, large AI models are playing an increasingly important role in various fields. These models, characterized by their massive-scale parameters and powerful computing resources, are capable of handling complex tasks, improving prediction and decision-making accuracy, and adapting to diverse application scenarios, thereby driving technological progress and industrial development throughout the oil and gas sector. This paper proposes a method for developing intelligent oil and gas fields based on large AI models. The method aims to leverage the value of data assets unlocked by these models to establish a unified, middle-platform-based service approach for oil and gas field planning, design, development, production, operation, and management. By deeply exploring the application potential of large AI models and integrating the unique strengths of small data-driven models and mechanism models, the development of intelligent oil and gas fields centered on large AI models can be advanced. This will facilitate the integration of surface and subsurface operation, development and operation processes, as well as field management. The method for developing intelligent oil and gas fields based on large AI models will give rise to new forms of productivity driven by AI in field operations, production, and management decision-making, thereby leading to improved quality, reduced costs, and improved efficiency in oil and gas field development and management.

