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Full-waveform inversion techniques
Research Group in Seismic Imaging
 
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Stochastic full waveform inversion with deep generative prior for uncertainty qu ...
Posted by Mark Field in Seismic Imaging and Full-waveform inversion techniques

Geophysics

Machine Learning

Computation

To obtain high-resolution images of subsurface structures from seismic data, seismic imaging techniques such as Full Waveform Inversion (FWI) serve as crucial tools. However, FWI involves so....
Estimation of Physical Parameters of Waveforms With Neural Networks
Posted by Mark Field in Seismic Imaging and Full-waveform inversion techniques
Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances and create d....
A Physics-guided Generative AI Toolkit for Geophysical Monitoring
Posted by Mark Field in Seismic Imaging and Full-waveform inversion techniques

Machine Learning

Artificial Intelligence

Computer Vision and Pattern Recognition

Signal Processing

Geophysics

Full-waveform inversion (FWI) plays a vital role in geoscience to explore the subsurface. It utilizes the seismic wave to image the subsurface velocity map. As the machine learning (ML) tech....
A self-supervised learning framework for seismic low-frequency extrapolation
Posted by Mark Field in Seismic Imaging and Full-waveform inversion techniques

Geophysics

Full waveform inversion (FWI) is capable of generating high-resolution subsurface parameter models, but it is susceptible to cycle-skipping when the data lack low-frequency. Unfortunately, t....