Deep learning techniques for estimating petrophysical properties

Comprehensive knowledge about the petrophysical properties of the subsurface is crucial for both oil E&P and CO₂ sequestration. I have developed a package to estimate petrophysical properties using a physics-informed neural network (PINN). This study is based on PINN full-waveform inversion whose code can be found in this GitHub repository.
I will update this post in the future.