Cheaper Deep Learning by Transfer Learning Cats to Seismic [SEG Conference 2018]

This years SEG I got the opportunity to present some of my work on transfer learning. In automatic seismic interpretation, progress is preceived as incremental already, although the field has only been established fairly recently. It was shown with new deep neural networks, usually convolutional neural networks, that reproducing human seismic interpretation is possible. This […]

https://doi.org/10.1190/1.3457445

Did Quantum Physics solve Seismic Inverse theory? – A SEG Honorary Lecture

Short answer: kind of yes. Keep reading anyways. I passed by the poster of announcements and read “Full-wavefield …” and figured that talk might be outside of the realm of what I understand. Anyone working in FWI has always been clear that it is very complicated. So I never tried. But this was the Honorary […]

Getting started with the SEG Machine Learning contest

The Society for Exploration Geophysicists (SEG) started a contest to predict facies from wireline logs via machine learning. Get your Buzzword Bingo cards ready, we’re about to dive deep. The October 2016 issue of The Leading Edge had a geophysics tutorial of a special kind. Brendon Hall explains how we can use machine learning to […]

Fractures and Statistics – Friday Faves

Finally another week in 4D! Sorry for the radio silence, but nothing noteworthy has come to my attention for the last two round-ups of the week. Amsterdam gets another dimension This week we have two 4D announcements that are not directly related to publications. The EAGE announced a workshop on Practical Reservoir Monitoring, explicitly asking […]