人工智能在数字岩心技术上的应用进展及前景

doi:10.3969/j.issn.1006-6535.2025.05.002

特种油气藏 ›› 2024, Vol. 32 ›› Issue (5): 10-18.DOI: 10.3969/j.issn.1006-6535.2025.05.002

人工智能在数字岩心技术上的应用进展及前景

赵岩龙¹, 李喧喧², 张傲雪³, 李情霞², 高宏⁴, 范煦¹

1.中国石油大学(北京)克拉玛依校区,新疆克拉玛依 834000;
2.中国石油新疆油田分公司,新疆克拉玛依 834000;
3.山东大学(青岛),山东青岛 266237;
4.中国石化中原油田分公司石油工程技术研究院,河南濮阳 457000

收稿日期:2024-09-21 修回日期:2025-07-24 出版日期:2025-09-25 发布日期:2025-10-30
作者简介:赵岩龙(1988—),男,副教授,2011年毕业于中国石油大学(北京)石油工程专业,2018年毕业于该校油气井工程专业,获博士学位,现从事非常规油气开发、油气井流体力学与工程、人工智能与油田大数据方面的教学与研究工作。
基金资助:
国家自然科学基金青年科学基金“深度学习辅助页岩油储层两相流动尺度升级和模拟研究”(52004301);中国科学院“西部青年学者”计划“抽油杆故障智能诊断及优化设计研究”(2021-XBQNXZ-033)

Advances and prospects of artificial intelligence in digital core technology

ZHAO Yanlong¹, LI Xuanxuan², ZHANG Aoxue³, LI Qingxia², GAO Hong⁴, FAN Xu¹

1. Karamay Campus of China University of Petroleum (Beijing), Karamay, Xinjiang 834000, China;
2. PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834000, China;
3. Shandong University (Qingdao), Qingdao, Shandong 266237, China;
4. Research Institute of Petroleum Engineering Technology, Sinopec Zhongyuan Oilfield Company, Puyang, Henan 457000, China

Received:2024-09-21 Revised:2025-07-24 Online:2025-09-25 Published:2025-10-30

摘要/Abstract

摘要： 数字岩心技术是油气勘探开发中储层物性评价的重要手段,在分析岩样组分及分布、孔隙结构、微观渗流机理等方面均有广泛应用。随着观测手段和计算机运算能力的快速发展,人工智能算法的引入打破了传统数字岩心技术的局限性。该文总结了数字岩心技术的工作流程、应用领域和发展历程,综述了人工智能相关算法在岩心重建、图像分割、参数预测等方面的应用现状以及在数字岩心分析中的应用效果,展望了人工智能在数字岩心多模态、多尺度等方面的应用前景。该研究可为人工智能、大数据等新兴信息技术与油气勘探开发技术的融合发展提供指导。

关键词: 岩心重建, 岩心分割, 人工智能, 数字岩心, 参数预测

Abstract: Digital core technology is an important means for evaluating reservoir physical properties in oil and gas exploration and development, with wide applications in analyzing rock composition and distribution, pore structure, and microscopic seepage mechanisms. With the rapid development of observation methods and computing power, the introduction of artificial intelligence algorithms has broken through the limitations of traditional digital core technology. This paper summarizes the workflow, application areas, and development history of digital core technology, reviews the current application status of artificial intelligence-related algorithms in core reconstruction, image segmentation, parameter prediction, and their effectiveness in digital core analysis, and prospects the application potential of artificial intelligence in multimodal and multiscale aspects of digital cores. This research can provide guidance for the integrated development of emerging information technologies such as artificial intelligence and big data with oil and gas exploration and development technologies.

Key words: core reconstruction, core segmentation, artificial intelligence, digital core, parameter prediction

中图分类号:

TE319

赵岩龙, 李喧喧, 张傲雪, 李情霞, 高宏, 范煦. 人工智能在数字岩心技术上的应用进展及前景[J]. 特种油气藏, 2024, 32(5): 10-18.

ZHAO Yanlong, LI Xuanxuan, ZHANG Aoxue, LI Qingxia, GAO Hong, FAN Xu. Advances and prospects of artificial intelligence in digital core technology[J]. Special Oil & Gas Reservoirs, 2024, 32(5): 10-18.

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人工智能在数字岩心技术上的应用进展及前景

Advances and prospects of artificial intelligence in digital core technology

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