3 papers
physics.geo-ph2025
The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion
Yingtian Liu, Yong Li, Huating Li +3
Deep learning (DL) techniques have been widely used in prestack three-parameter inversion to address its ill-posed problems. Among these DL techniques, Multi-task learning (MTL) me…
physics.geo-ph2024
Adaptive Graded Denoising of Seismic Data Based on Noise Estimation and Local Similarity
Xueting Yang, Yong Li, Zhangquan Liao +2
Seismic data denoising is an important part of seismic data processing, which directly relate to the follow-up processing of seismic data. In terms of this issue, many authors prop…
physics.geo-ph2024
An anti-noise seismic inversion method based on diffusion model
Yingtian Liu, Yong Li, Xingan Hao +3
Seismic impedance inversion is one of the most important part of geophysical exploration. However, due to random noise, the traditional semi-supervised learning (SSL) methods lack…