Physics-guided data-driven seismic inversion: Recent progress and future opportunities in full-waveform inversion
The goal of seismic inversion is to obtain subsurface properties from surface measurements.
Seismic images have proven valuable, even crucial, for a variety of applications, including …
Seismic images have proven valuable, even crucial, for a variety of applications, including …
Review of physics-informed machine-learning inversion of geophysical data
GT Schuster, Y Chen, S Feng - Geophysics, 2024 - library.seg.org
We review five types of physics-informed machine-learning (PIML) algorithms for inversion
and modeling of geophysical data. Such algorithms use the combination of a data-driven …
and modeling of geophysical data. Such algorithms use the combination of a data-driven …
[PDF][PDF] Machine learning methods in geoscience
G Schuster - 2024 - library.seg.org
This book presents the theory of machine learning (ML) algorithms and their applications to
geoscience problems. Geoscience problems include traveltime picking of seismograms by a …
geoscience problems. Geoscience problems include traveltime picking of seismograms by a …
Physics-Informed Data-Driven Seismic Inversion: Recent Progress and Future Opportunities
The goal of seismic inversion is to obtain subsurface properties from surface measurements.
Seismic images have proven valuable, even crucial, for a variety of applications, including …
Seismic images have proven valuable, even crucial, for a variety of applications, including …