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Advanced Artificial Intelligence Theories and Methods for Seismic Exploration

Submission deadline: 25 June 2026
Special Issue Editors
Xintong Dong
College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China
Shaoyong Liu
School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
Hanming Gu
School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
Naihao Liu
School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Jiachun You
College of Geophysics, Chengdu University of Technology, Chengdu 610059, China
Special Issue Information

Dear Colleagues,

With their​​ strong nonlinear mapping capability and performance in rapidly processing massive data, artificial intelligence (AI) technologies have ​achieved breakthroughs in several scientific fields, offering new opportunities for seismic exploration. This special issue aims to gather a collection of original research articles that propose or utilize innovative AI technologies to solve theoretical and practical problems in seismic exploration, which bring novel solutions for seismic data processing, inversion, high-resolution imaging, interpretation, etc. We invite submissions from researchers in geophysics, signal processing, artificial intelligence and applied mathematics to participate in this special issue. Potential topics include, but are not limited to: 

(1) Seismic data processing (denoising, interpolation, frequency-band extrapolation, arrival time picking, and resolution enhancement, etc);

(2) Full waveform inversion enhanced by deep learning;

(3) Seismic high-resolution imaging;

(4) Advanced deep learning architectures and their applications in seismic exploration;

(5) Foundation model for seismic exploration;

(6) Intelligent seismic interpretation;

(7) Scientific machine learning in geophysics;

(8) Seismic forward modeling.

Dr. Xintong Dong
Dr. Shaoyong Liu
Professor Hanming Gu
Dr. Naihao Liu
Dr. Jiachun You
Guest Editors

Keywords
seismic exploration
artificial intelligence
signal processing
neural network
inversion and imaging
generative model
self-supervision
reservoir characterization
vertical seismic profile
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing