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 […]
Tag Archives: seismic
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 […]
SEG-Y sucks! Or does it?
Many a times I have been cursing, when I got a new seismic file. Be it a 2D line, 3D cubes or pre-stack data, the standard is seldomly adhered to by most companies. The Standard SEGY as defined by the standard is now in revision 2. Most standards will likely be rev1 in these days. […]
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, […]
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 […]
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 […]
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 – Friday Faves
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 […]
5 Tips for Seismic Interpretation
Sometimes seismic interpretation seems like the Holy Grail. There are many decisions to make and many traps that may result in a dry well, costing millions. Getting some practice with pickthis.io seems like time well spent. Here are some personal tips how to become a better interpreter. 1. Don’t get fooled by the Next Big […]
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 […]
