Lithologic Reservoirs ›› 2024, Vol. 36 ›› Issue (2): 170-188.doi: 10.12108/yxyqc.20240216

• FORUM AND REVIEW • Previous Articles    

The past,present and future of intelligent geophysical technology

YANG Wuyang, WEI Xinjian, LI Haishan   

  1. PetroChina Research Institute of Petroleum Exploration & Development-Northwest, Lanzhou 730020, China
  • Received:2023-07-10 Revised:2023-08-03 Published:2024-03-06

Abstract: By reviewing the development history,main research progress,and development direction of artificial intelligence technology in the field of geophysical exploration(geophysical exploration)both domestically and internationally,the advantages and challenges of intelligent geophysical exploration were summarized,and solutions were proposed. The results show that:(1)Geophysical technology was integrated with artificial intelligence technology in the second wave of artificial intelligence development. Thanks to the exponential growth of data volume in the field of geophysical exploration,the rapid development of hardware computing power,and the emergence of new deep learning frameworks,intelligent geophysical technology has developed from early machine learning to current deep learning,and has achieved a large number of research results in seismic data processing and interpretation.(2)At present,intelligent geophysical technology is widely used in the construction of tag sets,denoising,fault detection,layer and sequence interpretation,seismic facies classification and anomaly detection,lithology identification and reservoir development,and seismic inversion imaging,greatly improving work efficiency,reducing work costs,overcoming the subjectivity and unreliability of manual interaction and experience,and helping to break the bottleneck of traditional geophysical technology.(3)The development of intelligent geophysical technology faces challenges such as a lack of publicly available label datasets,a lack of intelligent frameworks to solve problems in the field of geophysics,and the lack of an intelligent development platform suitable for sharing in the field of geophysics. These challenges can be addressed by addressing data infrastructure,building intelligent platforms,conducting basic research on network architecture,and combining it with application scenarios. In addition,the development direction of intelligent geophysical technology also includes the following aspects:research on intelligent seismic imaging methods,reservoir imaging methods,oil and gas big data mining,intelligent risk assessment and intelligent decision-making,and research and development of supercomputing software equipment.

Key words: intelligent geophysical exploration, big data, artificial intelligence, machine learning, deep learning, labeled datasets, deep learning framework, intelligent processing and interpretation, seismic data

CLC Number: 

  • TP18
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