This week was a special week, as the SEG Annual Meeting 2019 in San Antonio was in full progress and the FORCE hackathon in Stavanger with an accompanying Symposium is in full progress. Here are my highlights of the week, that I’d like to share with you. Geoscience I talked to some contacts that visited […]
Tag Archives: machine learning
How do we thrive in the AI industrial revolution?
Our world is changing and skilled workers are being replaced by intelligent systems. Where do the strengths of humans lie? Working in ML and taking the stage, whenever anyone lets me, I am no stranger to the question: What is AI good at? What are humans good at? So I was invited to give a […]
Meet me at the EAGE Annual 2019
It’s the time of the year. The large applied geoscientists conference is coming up, the EAGE Annual Meeting. This year the EAGE is coming to London. I’ll be there as well and I’ll have a couple of speaking engagements, I’d like to invite you along to. Hackathon and Sprint I love the newly created ritual […]
Kaggle Days One – Googling in San Francisco [2/3]
Does anyone else know that feeling? You listen to too many people doing awesome things, you eventually get a small existential crisis. Well. I do. In Day one we explored Google Next ’19 and my highlights. While Google Next was still on, I was up to other shenanigans. My real reason to come to San […]
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 […]
Preprints – What’s the worst that could happen?
Early career scientists are laying the building blocks of their career. Giving away your best ideas for free and everyone to read can seem risky. Pre-prints, on the surface, may look just like that, but are they? Pre-print servers like EarthArXiv are sprouting in many scientific disciplines. They proclaim the benefits of research being cited […]
Data Is Not Neutral
I like data driven processes. You’ve seen me drum on about CRS and Full-Waveform Inversion. Sometimes we like to pretend that data is pure. Well , it’s noisy and full of kinks but if we process it just right, we extract the truth. Turns out that is a little bit wrong. The data collection […]
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, […]
Dipping your Toes – Machine Learning for Geoscientists
My fellow students know this and I hope recruiters will never read this: I was never good at math in university. It was only later when it came to the application in actual geophysical problems that tensors, linear algebra, and differential equations clicked. Personally, I don’t recommend this, as it makes life unnecessarily hard. Machine […]
