Stats of Kaggle Days

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 […]

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 […]

I placed 1300th on Kaggle and it’s amazing!

I placed 1360 in a deep learning competition and here’s why that is a win in my book. I spend too much time on social media, but this time I was lucky. I checked my feed on LinkedIn quickly and saw an announcement from TGS a seismic contractor. They had teamed up with Kaggle, a […]

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 […]

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 […]

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 […]

subsurface hackathon the anouncement

The European Subsurface Hackathon – Hacking (before) the EAGE

We did it! We hi-jacked the weekend before the EAGE conference, called it the “subsurface hackathon” and the theme was games. It was the first time Matt Hall from Agile Geoscience tried it in Europe. He has some experience with these events already at the SEG, where gems like pickthis.io were created. But having a […]

CC-BY-SA Torkild Retvedt

Big Data in Oil and Gas – Fuzzy Classification

Data in oil and gas has always been large, but is it also big? Big data is more than Petabytes of seismic data or well logs. Big data is a buzzword in modern technology that isn’t clearly defined, yet used to sell expensive hard and software. What is big data all about? Big data is […]