Seismic I/O, Open Source, and Deep Double Descent – Friday Faves

This week in our Friday Faves, we have a new Python package for seismic compression and input/output, a conversation on the merits and caveats of open source and the confirmation that more data sometimes hurts machine learning models. Seismic Compression and I/O Equinor anounced the Python version of a compression algorithm for seismic data that […]

Research Talk — Deep Learning for 4D Pressure Saturation Inversion [Youtube]

I presented in Amsterdam during the Practical Reservoir Monitoring Workshop in Amsterdam. This is the accompanying video. Abstract In this work, we present a deep neural network inversion on map-based 4D seismic data for pressure and saturation. We present a novel neural network architecture that trains on synthetic data and provides insights into observed field […]

Keynote Bonanza and No Coffee – The EAGE / PESGB ML Workshop

Last month EAGE and PESGB organized the first machine learning workshop in geoscience in Europe. Clearly, I had every intention of going. And obviously, I met many of my favourite co-conspirators there, when I did. The workshop was divided between a day of keynotes and a day of technical talks. The keynotes accompanied the PETEX […]

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 […]

CC-BY-SA Pablormier DE

Making Full-Waveform Inversion Uncool again

You know what’s hype? Full-waveform inversion. If you’re in geophysics specifically involved in some sort of inversion, you want to be doing FWI. It’s what the cool kids do. You know what’s the problem? Cool kids really like to be an exclusive club. The same thing is happening in Machine Learning and Deep Learning. […]

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 […]

Noise CC-BY Kevin Dooley

What’s with the noise?

We often only look at reflection data in a stack. But, along the way a lot of “noise” has been processed out of the seismic data to chisel out the “signal”. It’s all about signal against noise. However, one person’s noise may just be another person’s signal. Let me elaborate. If you’ve been around during […]

What is 4D seismics?

4D seismics is hype. It’s the new stuff. But 4D is also somewhat obscure, so when I started telling people telling that I had landed a job in 4D seismics, the most common question was: So, Jesper, what’s the fourth dimension. The answer always causes some disappointment. “It’s time.” They were hoping for some obscure […]