4 papers · 1 filter
OpenEM: Large-scale multi-structural 3D datasets for electromagnetic methods
Shuang Wang, Xuben Wang, Fei Deng +3
Electromagnetic (EM) methods, owing to their efficiency and non-invasive nature, have become one of the most widely used techniques in geological exploration. Nevertheless, data pr…
DREMnet: An Interpretable Denoising Framework for Semi-Airborne Transient Electromagnetic Signal
Shuang Wang, Ming Guo, Xuben Wang +4
The semi-airborne transient electromagnetic method (SATEM) is capable of conducting rapid surveys over large-scale and hard-to-reach areas. However, the acquired signals are often…
Interpretable Deep Learning Paradigm for Airborne Transient Electromagnetic Inversion
Shuang Wang, Xuben Wang, Fei Deng +3
The extraction of geoelectric structural information from airborne transient electromagnetic (ATEM) data primarily involves data processing and inversion. Conventional methods rely…
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
Shuang Wang, Fei Deng, Peifan Jiang +3
Geographical, physical, or economic constraints often result in missing traces within seismic data, making the reconstruction of complete seismic data a crucial step in seismic dat…