/U-Net-GAN-for-subsurface-facies-modeling

This repository shows the code used in the paper "U-Net Generative Adversarial Network for subsurface facies modeling".

Primary LanguageJupyter Notebook

U-Net-GAN-for-subsurface-facies-modeling

This repository shows the code used in the paper "U-Net Generative Adversarial Network for subsurface facies modeling".

Required libraries

Python 3.8.5
PyTorch 1.6.0
matplotlib 3.3.1
numpy 1.19.1
Jupyter Notebook

Development environment

Training of the GANs was performed on a NVIDIA 1070Ti GPU (Ubuntu, Intel i9-7900x CPU and 128GB RAM).
All experiments apart from GAN training are performed on a laptop with NVIDIA 1050Ti GPU (Windows 10, Intel i5-7300HQ CPU and 16GB RAM).
The code is verified on a machine without NVIDIA graphics processor (Windows 10, Intel i7-8700 CPU and 8GB RAM).

Support

If you have any questions please feel free to contact me via cupzck@gmail.com