7 citations · 13 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Fast Diffusion Model For Seismic Data Noise Attenuation
Junheng Peng, Yong Li, Yingtian Liu +1
Noise is one of the primary sources of interference in seismic exploration. Many authors have proposed various methods to remove noise from seismic data; however, in the face of st…
Seismic Data Strong Noise Attenuation Based on Diffusion Model and Principal Component Analysis
Junheng Peng, Yong Li, Zhangquan Liao +2
Seismic data noise processing is an important part of seismic exploration data processing, and the effect of noise elimination is directly related to the follow-up processing of da…