3 papers
physics.geo-ph2026
Meta-learning-enhanced implicit full waveform inversion
Zefeng Wang, Shijun Cheng, Weijian Mao +2
Implicit full waveform inversion (IFWI) introduces implicit neural representations to parameterize the subsurface velocity model as a continuous function of spatial coordinates, wh…
physics.geo-ph2026
Adaptive Self-Supervised Surface-Related Multiple Suppression
Huan Song, Shijun Cheng, Huanhuan Tang +2
Effective suppression of surface-related multiples is essential to prevent imaging artifacts and erroneous structural interpretations. While conventional approaches rely on accurat…
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…