Implementation for CNN-RWI on TensorFlow 1.0 and PySIT platforms
- MATLAB (https://www.mathworks.com/products/matlab.html) for prior model parcellation to create training models
- PySIT (https://github.com/pysit/pysit) for reverse-time migration
- TensorFlow r1.15 (https://www.tensorflow.org/) for CNN training and prediction
- Modify the parameters in the all_in.sh (shell script)
- Modify the parameters in the RTM.py (provided under pysit1.0/)
- Modify the parameters in the ML7_parse_vp.py (provided under CNN_approximation1.0/)
- Run the shell script (all_in.sh)
- Run the MATLAB script (plot_itermediate_velocity.m) (provided under matlab1.0/Marmousi/) to plot inverted models