4 citations · 4 across the 2 of their papers we have counts for
3 papers
physics.geo-ph2025
Generating Reliable Initial Velocity Models for Full-waveform Inversion with Well and Structural Constraints
Qingchen Zhang, Shijun Cheng, Wei Chen +1
Full waveform inversion (FWI) plays an important role in velocity modeling due to its high-resolution advantages. However, its highly non-linear characteristic leads to numerous lo…
physics.geo-ph2024
A self-supervised learning framework for seismic low-frequency extrapolation
Shijun Cheng, Yi Wang, Qingchen Zhang +2
Full waveform inversion (FWI) is capable of generating high-resolution subsurface parameter models, but it is susceptible to cycle-skipping when the data lack low-frequency. Unfort…
physics.geo-ph2023★ 4 cited
An effective self-supervised learning method for various seismic noise attenuation
Shijun Cheng, Zhiyao Cheng, Chao Jiang +2
Faced with the scarcity of clean label data in real scenarios, seismic denoising methods based on supervised learning (SL) often encounter performance limitations. Specifically, wh…