This is a synthetic training dataset that can be used to train a U-net CNN model for mapping litho-facies from seismic data. This dataset contains 5000 patches of geological images and 5000 patches of seismic images, each has 256*256 pixels.
Please unzip masks.zip for 5000 patches of 2D geological models of interbedded chalk and flint layers. 5000 seismic patches can be downloaded here: https://drive.google.com/drive/folders/1ZVwpLZgx2aB40wXahN0uvQr6vJ3OSSiS?usp=sharing
Please refer to the following publication for more information of the dataset and its application.
Qu, D., K. Mosegaard, R. Feng, and L. Nielsen, 2023, Using a synthetic data trained convolutional neural network for predicting sub-resolution thin layers from seismic, Interpretation, Vol.11, No 2, 341-349.
Allows for personal and research use only. For commercial use please contact the author. You can view the license summary here: http://creativecommons.org/licenses/by-nc/4.0/
Email: [email protected]