Name: Stanford Rock Physics
Type: Organization
Bio: Our work is focused on discovering and understanding the relations between geophysical measurements and the underlying rock and fluid properties.
Location: Stanford, California
Blog: srb.stanford.edu
Stanford Rock Physics's Projects
AVO classification using Convolutional Neural Network
Convolutional neural network for seismic impedance inversion
Neural network based petrophysical property inversion
Compressibility predictions using digital rock simulations
Multiscale electrofacies analysis on borhole data
Code and data to reproduce the figures included in the manuscript
Elements to Minerals Inversion
Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks
Simulate the formation of three-dimensional packings of spherical and non-spherical (regular and irregular) particles with prescribed size distributions.
Codes and final thesis PDF
Unit Conversion in Matlab
Stanford Rock Physics & Borehole Geophysics (SRB) Digital Rock Physics (DRP) Toolbox. The codes include image creation, alteration, and computation of physical and geometrical properties.
Stanford SRB Toolbox
Markov chain simulator in a sequence stratigraphic framework
Website for Rock Physics Handbook 3rd edition
Codes for scale effects of velocity dispersion and attenuation in layered viscoelastic medium