3 papers
physics.geo-ph2025
A Deep-Learning-Driven Optimization-Based Inverse Solver for Accelerating the Marchenko Method
Ning Wang, Tariq Alkhalifah
The Marchenko method is a powerful tool for reconstructing full-wavefield Green's functions using surface-recorded seismic data. These Green's functions can then be utilized to pro…
physics.geo-ph2025
Efficient Upside-Down Rayleigh-Marchenko Imaging through Self-Supervised Focusing Function Estimation
Ning Wang, Matteo Ravasi, Tariq Alkhalifah
The Upside-Down Rayleigh-Marchenko (UD-RM) method has recently emerged as a powerful tool for retrieving subsurface wavefields and images free from artifacts caused by both interna…
physics.geo-ph2025
Self-supervised surface-related multiple suppression with multidimensional convolution
Shijun Cheng, Ning Wang, Tariq Alkhalifah
Surface-related multiples pose significant challenges in seismic data processing, often obscuring primary reflections and reducing imaging quality. Traditional methods rely on comp…