Author(s)

Ting Li^1,2

¹College of Earth Science and Engineering, Xi’an Shiyou University, Xi’an, China.
²Shaanxi Key Laboratory of Petroleum Accumulation Geology, Xi’an Shiyou University, Xi’an, China.

In recent years, Convolutional Neural Network (CNN), as a deep learning algorithm, has been widely used in many fields such as computer vision and speech recognition. In the field of geological exploration, CNN has also made great progress. This paper reviews the latest research progress of CNN in the field of geological exploration, and focuses on the application of CNN in logging and seismic exploration. We first introduce the basic principles of CNN, then introduce the specific applications of CNN in logging and seismic exploration, and analyze the advantages and limitations of CNN with specific examples.

CNN, Artificial Intelligence, Deep Learning, Logging Interpretation

Li, T. (2023) Research on Convolutional Neural Network in the Field of Oil and Gas Exploration. Open Access Library Journal, 10, 1-10. doi: 10.4236/oalib.1109738.