Track 7: Generalized Intelligence, Foreseeing the Future: A New Generation of Artificial Intelligence for Complex Oil and Gas Scenarios | 泛化智能，预见未来：面向复杂油气场景的新一代人工智能

Organizers | 组织者信息

• Cong Lu, Southwest Petroleum University, Professor, PhD Supervisor / Dean of Graduate School
  卢聪，西南石油大学，教授，博导 / 研究生院院长
• Min Wang, Southwest Petroleum University, Professor, PhD Supervisor / Vice Dean of the School of Electrical and Information Engineering
  汪敏，西南石油大学，教授，博导 / 电气信息学院副院长
• An’an Zhang, Southwest Petroleum University, Professor, PhD Supervisor / Dean of the School of Electrical and Information Engineering
  张安安，西南石油大学，教授，博导 / 电气信息学院院长
• Fanhui Zeng, Southwest Petroleum University, Professor, PhD Supervisor / Director of the Intelligent Oil and Gas Engineering Research Center
  曾凡辉，西南石油大学，教授，博导 / 智能油气工程研究中心主任

Abstract | 论坛简介

This sub-forum focuses on the frontier topic of generalized artificial intelligence, aiming to address key challenges faced by current AI technologies in complex oil and gas scenarios, including difficulties in model transferability, limited scenario adaptability, and insufficient decision-making reliability.
The forum will explore the deep integration of generalization, interpretability, and complex oil and gas applications, and jointly build a new generation of practical AI systems capable of adapting to diverse geological conditions, complex engineering parameters, and uncertain production environments.

本分论坛聚焦“可泛化人工智能”这一前沿命题，旨在破解当前AI技术在复杂油气场景中面临的模型迁移难、场景适应性弱、决策可信度低等核心挑战。
将深入探讨可泛化性、可解释性与复杂油气场景的深度共创，共同构建面向地质条件多变、工程参数复杂、生产环境不确定的新一代可落地AI系统。

Topics | 主题范围

• From Laboratory to Oilfield: Engineering Architectures and Deployment Paradigms of Generalized AI Systems | 从实验室到油田：可泛化AI系统的工程架构与部署范式
• Trusted Decision Engines: Practical Applications of Explainable AI in High-Risk Oil and Gas Scenarios | 可信决策引擎：可解释AI在油气高风险场景中的落地实践
• Foundation Models for Oil and Gas: Theoretical Pathways from Scenario Customization to Generalized Intelligence | 构建油气领域基础模型：从场景定制到泛化智能的理论路径
• More… | 更多相关议题

Invited Speakers | 拟邀请报告人

• Han Xiong, Chuanqing Drilling Engineering Company | 韩雄，川庆钻探
• Jian Wang, China University of Petroleum (East China) | 王健，中国石油大学（华东）
• Yanhong Zhe, Xi’an Shiyou University | 折延宏，西安石油大学