石油物探智能化发展之路:从自动化到智能化

智能化时代正在向我们走来,石油物探应如何抓住这一千载难得的发展机遇?首先介绍了智能化浪潮来临的背景,简要叙述了人工智能技术发展与应用的历程和现状,概述了人工智能技术在油气工业和石油物探领域的研究与应用现状,介绍了深度学习应用于石油物探中的部分探索性研究成果。然后提出了石油物探智能化应用技术架构,探讨了石油物探从自动化处理到智能化解释的发展路线图,即从功能自动化、流程自动化到系统智能化,展望了石油物探协同工作环境将呈现后端并行化、前端可视化、流程自动化、系统智能化的未来发展图景。最后就发展大数据和人工智能技术在油气工业中的应用提出了4点建议:①制订大数据与人工智能技术应用发展规划;②搭建大数据与智能化研究与应用平台;③建立智能化发展协同创新中心;④实施智能化专项行动计划和示范工程。地球物理勘探的智能化发展应走从自动化处理到智能化解释的发展道路,重点发展数据驱动型、增量式、自动化处理技术和可视化、全信息、智能化解释技术,最终建立数据驱动的完整功能与业务流程、自我进化的智能化系统、可视化与虚拟现实实时协同工作环境。

Artificial intelligence is becoming a research hotspot.In this study,the author introduces the background of this intelligent wave and briefly describes the history and current situation of artificial intelligence and its applications.The author then summarizes the applications of artificial intelligence in the oil and gas industries as well as geophysical exploration,and presents exploratory research works on the applications of deep learning in geophysical exploration.Next,the author proposes the architecture of the applications of intelligent technology in petroleum geophysical exploration,and discusses the development roadmap of geophysical exploration from automatic processing to intelligent interpretation,and from automatic function and workflow to intelligent systems.It is expected that the collaborative work environment of geophysical exploration will present the perspectives of parallelized back-end,visualized front-end,automatic workflow,and intelligent systems.Finally,the author proposes four suggestions for the development of big data and artificial intelligence in the oil and gas industries:①the formulation of a development plan for the application of big data and artificial intelligence technology,②building of a platform for research and application of big data and intelligent systems;③the establishment of a collaborative innovation center for intelligent development;and④the implementation of special action plans and demonstration projects for intelligence applications.The intelligent development of geophysical prospecting should follow the development from automatic processing to an intelligent interpretation,and focus on data-driven,incremental,and automatic processing and visualization of all information,intelligent interpretation technology,the eventual establishment of data-driven complete functions and business processes,the self-evolution intelligent systems,and a visualized and virtual reality real-time collaborative work environment.