The purpose of this repository is to reconstruct paper from Y. Kim and N. Nakata (The Leading Edge, Volume 37, Issue 12, Dec 2018) about Geophysical inversion versus machine learning in inverse ...

Ground-penetrating radar, shown being used above, is one source of observations for which geophysical inversion is used. Credit: Comprehensive Nuclear-Test-Ban Treaty/Flickr, CC BY 2.0 A common ...

Abstract: Parallel simulated annealing with VMware virtual machine technology is applied in the time-lapse seismic inversion in this paper. The seismic-derived estimates of reservoir properties ...

Satellite remote sensing has revolutionized Earth observing capabilities and plays a major role in the studies of atmosphere, ocean and land systems. Radiative transfer simulations are foundational ...

Abstract: Machine learning (ML) is emerging as a new approach for developing algorithms in geophysical research. In this study, a six-layer neural network is designed to estimate seafloor properties ...