Area of research
Geophysics · Ocean Engineering
Research interest
Research interests include Seismic Imaging and Inversion Techniques, Drilling and Well Engineering, Seismic Waves and Analysis, and Hydraulic Fracturing and Reservoir Analysis.
Self-adaptive denoising net: Self-supervised learning for seismic migration artifacts and random noise attenuation
NS2NS: Self-Learning for Seismic Image Denoising
Seismic Volumetric Dip Estimation via Multichannel Deep Learning Model
Exploring factors affecting the performance of deep learning in seismic fault attribute computation
Training data versus deep learning architectures in the seismic fault attribute computation
Improved seismic well tie by integrating variable-size window resampling with well-tie net
Seismic Traffic Noise Attenuation Using $l_{p}$ -Norm Robust PCA
Correction to “Seismic Time-Frequency Analysis via Adaptive Mode Separation-Based Wavelet Transform”
Self-Adaptive Generalized S-Transform and Its Application in Seismic Time–Frequency Analysis
Semiautomatic first-arrival picking of microseismic events by using the pixel-wise convolutional image segmentation method
White noise attenuation of seismic trace by integrating variational mode decomposition with convolutional neural network
Seismic Time–Frequency Analysis via Adaptive Mode Separation-Based Wavelet Transform
Seismic anelastic attenuation estimation using prestack seismic gathers
Seismic attenuation estimation using the modified log spectral ratio method
Channel detection using the self-adaptive generalized S-transform
Time–Frequency Analysis of Seismic Data Using a Three Parameters S Transform
Q estimation from time-migrated gathers based on S transform
Seismic wavelet phase estimation by semiautomatic seismic-well tying