石油科技论坛 ›› 2020, Vol. 39 ›› Issue (5): 41-47.DOI: 10.3969/j.issn.1002-302x.2020.05.006

• 专题策划 • 上一篇    下一篇

人工智能技术发展对石油工程领域的影响及建议

光新军 王敏生 耿黎东 闫娜 皮光林   

  1. 中国石化石油工程技术研究院
  • 出版日期:2020-11-25 发布日期:2020-11-25
  • 基金资助:
    中国石油化工股份有限公司科技项目“钻完井人工智能技术现状及中石化战略对策”(编号:P19002)、“国内外石油工程技术装备发展趋势与发展战略研究”(编号:P19029-5)。

Influence of Artificial Intelligence Technological Development on Petroleum Engineering and Suggestions

Guang Xinjun, Wang Minsheng, Geng Lidong, Yan Na, Pi Guanglin   

  1. Sinopec Research Institute of Petroleum Engineering, Beijing 100101, China
  • Online:2020-11-25 Published:2020-11-25
  • Supported by:
     

摘要: 人工智能作为新一轮产业变革和科技革命的新引擎和核心驱动力,已经成为引领未来发展的战略性新兴技术。研究分析斯伦贝谢、康菲、壳牌、BP等国际知名油气公司近年加强人工智能技术发展和应用的实例,对石油工程产业转型升级和技术创新产生深刻影响。如促进石油工程产业向少人或无人操作方向发展,推动多部门协同、多学科互通,加深全产业链一体化融合;通过提高储层认识,优化钻井和压裂参数,助力石油工程技术增储上产、降本增效。结合我国石油工程业务发展现状,指出国有石油公司要围绕油气勘探开发降本增效,积极应对人工智能推动石油工程产业升级带来的挑战,搭建大数据一体化融合平台,强化科技创新力度,加大内部政策扶持力度,加速推进石油工程业务转型升级、关键技术升级换代和技术人才梯队建设,逐步构建石油工程人工智能生态系统。

 

关键词: 人工智能, 石油工程, 产业升级, 技术创新, 增储上产, 降本增效

Abstract: As a new engine and core driving force for the new round of industrial transformation and technological revolution, artificial intelligence has become the emerging strategic technology leading the future development. This paper studies artificial intelligence technological development of the world-famous oil and gas companies in recent years, such as Schlumberger, Conoco-Phillips, Shell and BP, as well as their application cases. It also focuses on the profound impact of artificial intelligence on petroleum engineering industrial transformation and upgrading as well as technological innovation. For example, artificial intelligence promotes petroleum engineering industry to develop towards unmanned operation, brings a number of departments together for synergies, facilitates a multiple of disciplines to interact with each other, and consolidates integration of the whole industrial chain. Based on further understanding of reservoirs, the drilling and fracturing parameters can be optimized, thus allowing petroleum engineering technology to increase reserves and production and bring about cost-effectiveness. In the light of China’s current petroleum engineering business development, this paper points out that the State-owned petroleum companies should concentrate themselves on cost-effectiveness for oil and gas exploration and development in active efforts to meet the challenges for upgrading of the petroleum engineering industry on the basis of artificial intelligence. They should construct the big data platform for integration, step up the efforts for technological innovation, make more preferential policies for support of artificial intelligence, accelerate transformation and upgrading of petroleum engineering business, modernization of the key technology and cultivation of talents, and gradually complete the artificial intelligence ecological system of petroleum engineering.

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