StoDIG submission #5

[da-wad]

Our new Facies Probability plots have helped us in understanding what's happening, so the 5th (and final) submission from StoDIG has two models we'd like to enter, and we'd be fascinated to see how they score... please find two notebooks:

• Firstly an increment to our CNN which includes distance to next Formation as a feature
• Secondly a new innovation, using an LSTM network along with the CNN

The work in the last weeks has been a really great opportunity to have a hands-on experience with Neural Networks, so thanks to the organisers from StoDIG!

[kwinkunks]

Hello! ...5_CLDNN scores 0.549, while ...5_CNN scores 0.541.

Thank you for the appreciation... I'm glad you had fun, and even better that you were learning. That's a big win!

The combined LSTM / CNN is really interesting. I'm a big fan of LSTMs, but have yet to get them to actually help on a stratigraphic problem. I have a hard time believing that this sort of model wouldn't beat the 'shallow' methods on a very large dataset. It might be hard to find an open dataset that size, but I'm sure you have something at work to test it on!

Cheers, Matt