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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
Interests:

seismic exploration; signal processing; full waveform inversion; noise suppression

Shaoyong Liu
School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
Interests:

seismic data migration; full wave inversion; machine Learning

Hanming Gu
School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
Interests:

seismic wave modeling; reservoir description; artificial intelligence

Naihao Liu
School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests:

seismic exploration; signal processing; deep learning; reservoir characterization

Jiachun You
College of Geophysics, Chengdu University of Technology, Chengdu 610059,  China
Interests:

seismic depth migration; full waveform migration and inversion; deep learning

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;

(2) Seismic high-resolution imaging;

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

(4) Foundation model for seismic exploration;

(5) Intelligent seismic interpretation;

(6) Scientific machine learning in geophysics

(7) 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
Published Paper (8 Papers)
ARTICLE

Microseismic event locations using grid-searching method and Newton–Raphson-based optimizer

Shaohui Zhou, Tianqi Jiang, Junhao Qu, Peng Lin, ... Yajun Li
Journal of Seismic Exploration 2025, 34(2), 60–71; https://doi.org/10.36922/JSE025320052
ARTICLE

A physics-constrained sparse basis learning method for mixed noise suppression

Yongsheng Wang, Deying Wang, Kai Zhang, Wenqing Liu, ... Huailiang Li
Journal of Seismic Exploration 2025, 34(4), 42–59; https://doi.org/10.36922/JSE025280034
ARTICLE

GMLAN: Grouped-residual and multi-scale large-kernel attention network for seismic image super-resolution

Anxin Zhang, Zhenbo Guo, Shiqi Dong, Zhiqi Wei
Journal of Seismic Exploration 2025, 34(5), 36–52; https://doi.org/10.36922/JSE025350063
ARTICLE

Fully automatic differentiation with coupling deep neural networks for full-waveform inversion

Pengyuan Sun, Jun Zheng, Jingyi Zhao, Ying Yang, Yufeng Wang
Journal of Seismic Exploration 2025, 34(6), 16–28; https://doi.org/10.36922/JSE025410085
ARTICLE

Dual-branch dense network for seismic background noise elimination

Wei Wang, Haoliang Chen, Dekuan Chang, Xinyang Wang, ... Dong Li
Journal of Seismic Exploration 2025, 34(5), 53–65; https://doi.org/10.36922/JSE025290038
ARTICLE

Microseismic event picking and classification for hot dry rock hydraulic fracturing monitoring using SeisFormer

Mingjun Ouyang, Zenan Leng, Haotian Hu, Zubin Chen, ... Feng Sun
Journal of Seismic Exploration 2025, 34(6), 60–77; https://doi.org/10.36922/JSE025290036
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing