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 […]

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 […]

Mid Oceanic Ridge

Geophysical Assumptions

If you assume you make an ASS of yoU and ME. That may be true in personal connections, but assumptions are necessary in physics. Particularly, geophysics needs all the assumptions it can get. The subsurface isn’t exactly nice, giving us data. We can only look from one side (mostly). The Earth itself filters our signal, […]

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. Fast.ai […]

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 […]

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 […]

ASEG and Satellites – A Week in 4D

This week in 4D seismic we have contributions from ASEG extended abstracts and Geophysical prospecting. We also have two special appearances on a statoil publication and bei Marieke van Hout – de Groot of OpenDTect marketing a premium tool on linkedin. Let’s start with Statoil. They published a multi-scale, multi-phase flow upscaling workflow. I don’t […]

Ideas

Rethinking the Common Reflection Surface Processing Tool

I worked with the seismic processing algorithm Common Reflection Surface for the past years. During this time I have come to the following conclusion: CRS has a marketing problem. I have worked with CRS in university, at Fugro Seismic Imaging and Wester Geco, respectively Schlumberger. Its development is closely tied to advanced concepts like the […]