1 citations · 1 across the 5 of their papers we have counts for
5 papers
Diffusion priors enhanced velocity model building from time-lag images using a neural operator
Xiao Ma, Mohammad Hasyim Taufik, Tariq Alkhalifah
Velocity model building serves as a crucial component for achieving high precision subsurface imaging. However, conventional velocity model building methods are often computational…
High-resolution velocity model estimation with neural operator and the time-shift imaging condition
Xiao Ma, Shaowen Wang, Tariq Alkhalifah
Extracting subsurface velocity information from seismic data is mainly an undetermined problem that requires injecting a priori information to constrain the inversion process. Mach…
Velocity model building from seismic images using a Convolutional Neural Operator
Xiao Ma, Tariq Alkhalifah
The success of building a high-resolution velocity model using machine learning is hampered by generalization limitations that often limit the success of the approach on field data…
An effective physics-informed neural operator framework for predicting wavefields
Xiao Ma, Tariq Alkhalifah
Solving the wave equation is fundamental for geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges.…
Seismic Coherent Noise Removal with Residual Network and Synthetic Seismic Simples
Xiao Ma, Gang Yao, Sanyi Yuan +2
Seismic coherent noise is often found in post-stack seismic data, which contaminates the resolution and integrity of seismic images. It is difficult to remove the coherent noise si…