Patent Analysis of AI-based Oil and Gas Pipeline Digital Twin Technology

doi:10.3969/j.issn.1002-302x.2023.03.011

Abstract

Abstract: The artificial intelligence (AI) and digital twin technology have found wide application in construction of oil and gas pipelines in recent years, fueling the transition from traditional oil and gas pipeline network to intelligent network. The applications for the patent of digital twin technology has been steadily on the rise since 2016. At present, 60.37 percent of the invention patents is under examination. As of August 31, 2022, there were 3045 applications for the patent of digital twin technology in China, making the nation a world leader in this area and followed by the United States, the World Intellectual Property Organization (WIPO) and Republic of Korea. Of all the main applicants in the world, Siemens ranked first for its 262 applications with obvious advantages. Four Chinese units are also in the leading position in this area. The patent analysis of the AI-based oil and gas pipeline digital twin technology indicates that the patents worldwide are mainly concentrated in China, WIPO, the United States and Republic of Korea. China University of Petroleum (East China), Landmark Graphics Corporation, PipeChina and GE are also on the forefront of the global applicants. The risks for patent exist mainly in the areas of space model, dynamic modeling, real-time modeling and movement model. The study indicates the application trend for patent, regional distribution of application, key patentees and technical barriers. Focusing on the oil and gas pipeline enterprises, it also comes up with the relative suggestions on enhancement of technological R&D and patent distribution, improvement of patent application quality and expansion of patent protective scope.

Key words: artificial intelligence, oil and gas pipeline, digital twin, patent analysis, patent distribution, patent protection

摘要： 人工智能、数字孪生等技术近年在油气管道建设中广泛应用，推动了传统油气管网向智慧管网转变。数字孪生技术的专利申请数量自2016年开始稳步增长，60.37%的发明专利处于审中状态。截至2022年8月31日，我国数字孪生技术专利申请量3045件，全球领先，其次分别为美国、世界知识产权组织、韩国。全球主要申请人中，西门子公司专利申请262件，位居第一且优势明显，我国有4家单位处于领先地位。基于AI的油气管道数字孪生技术专利分析显示，全球专利分布主要集中在中国、WIPO、美国、韩国等国家和组织；中国石油大学（华东）、兰德马克图形公司、国家管网、中国石油、通用电气等位居全球申请人前列；专利风险主要存在于空间模型、动态建模、实时建模、运作模式等领域。研究揭示了专利申请趋势、申请地域分布、重点专利权人、技术壁垒，并对油气管道企业针对性加大技术研发和专利布局、提高专利申请质量、加强专利保护范围提出了相关建议。

关键词: 人工智能；油气管道；数字孪生；专利分析；专利布局；专利保护

CLC Number:

Wang Yuqin,Gao Bohao,Meng Fangfang. Patent Analysis of AI-based Oil and Gas Pipeline Digital Twin Technology[J]. Petroleum Science and Technology Forum, 2023, 42(3): 86-92.

王禹钦　高博颢　孟芳芳. 基于AI的油气管道数字孪生技术专利分析[J]. 石油科技论坛, 2023, 42(3): 86-92.

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