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yalaudah / facies_classification_benchmark

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).
MIT License
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¿Is there possibility of generating horizons and fault detection with Deep Learning in Python? #13

Closed YosmelyBermudez closed 3 years ago

YosmelyBermudez commented 3 years ago

Hello! I have loved his work with facies and machine learning. I am currently doing my undergraduate work to obtain a Geophysical Engineering degree, and my project is based on the use of supervised and unsupervised neural networks to recognize facies and petrophysical attributes. At the moment I am working with the Opendtect and H&R programs but right now I am looking for a Python library that can automate the generation of Horizons and fault detection in seismic (which I am working on in time). I would really appreciate if you have any suggestions in this regard. @yalaudah

yalaudah commented 3 years ago

Hi @YosmelyBermudez.. I'm not aware of any open source Python library that can do this at the moment, but I know Xinming Wu has done some work in generating synthetic seismic data for training deep learning models (https://www.jsg.utexas.edu/wu/latest-publication/). He might be able to help. 🙂

YosmelyBermudez commented 3 years ago

Thanks so much! it is helpfull!