炼油技术与工程 ›› 2025, Vol. 55 ›› Issue (2): 12-15.

• • 上一篇    下一篇

人工智能在炼化领域的应用现状及思考

王涵   

  1. 中国石化（大连）石油化工研究院有限公司
  • 出版日期:2025-02-15 发布日期:2025-02-25
  • 作者简介:王涵，助理工程师，硕士，2020年毕业于滑铁卢大学化学工程专业，主要研究方向为机器学习相关算法建模及机理模型建模。联系电话：13624289823，E-mail：wanghan2020.fshy@sinopec.com。
  • 基金资助:
    中国石化科技部国际合作项目（科452）

Application status and thinking of artificial intelligence in refining and chemical field

Wang Han   

  1. SINOPEC (Dalian) Research Institute of Petroleum and Petrochemicals Co., Ltd.
  • Online:2025-02-15 Published:2025-02-25

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摘要：

介绍了人工智能相关技术在石油化工领域的全球发展态势以及应用现状。目前，人工智能相关技术已经广泛应用于从上游的勘探开发场景，到中游的炼油厂生产过程，再贯穿至下游的运营、销售、投资等领域，显著提高了石油化工领域的工作效率和生产效益。未来，人机协同所产生的融合智能，将更加高效地解决复杂问题，使人工智能成为人类智能的自然延伸和拓展，进一步推进石化领域工作模式转变。

关键词: 人工智能, 炼化领域, 知识图谱, 大数据分析, 机器学习, 深度学习, 计算机视觉, 自然语言处理

Abstract:

This paper introduces the global development trend and application status of artificial intelligence (AI) related technologies in the petrochemical industry. At present, AI related technologies have been widely used in fields ranging from upstream exploration and development scenarios to midstream refinery production processes and through to downstream operations, sales, investment and other fields, significantly improving the work efficiency and production benefits in the petrochemical industry. In the future, the fusion intelligence generated by human-machine collaboration will more efficiently solve complex problems, making AI a natural extension and expansion of human intelligence, thereby promoting the transformation of work modes in the petrochemical industry.

Key words: artificial intelligence, refining and chemical field, knowledge graph, big data analysis, machine learning, deep learning, computer vision, natural language processing