Advances and prospects of artificial intelligence in digital core technology

doi:10.3969/j.issn.1006-6535.2025.05.002

Abstract

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

CLC Number:

TE319

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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