Culture Neutral - CC-BY Karl-Ludwig Poggemann

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 […]

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, […]

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 […]

Challenges in Machine Learning

Geoscience and Machine Learning – EAGE 2017 Workshop

Is it data science? Machine learning? Big Data? Deep learning? Fancy math? Or just chalked up statistics with enough data? This Monday marked the start of the EAGE 2017 in Paris for me. If you have read this blog or the EAGE Student Newsletter before, you may have seen that I am some sort of […]

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 […]