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 […]

Fractures and Statistics – Friday Faves

Finally another week in 4D! Sorry for the radio silence, but nothing noteworthy has come to my attention for the last two round-ups of the week. Amsterdam gets another dimension This week we have two 4D announcements that are not directly related to publications. The EAGE announced a workshop on Practical Reservoir Monitoring, explicitly asking […]

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 […]

Binary 4D Seismic History Matching, a Metric Study

Historymatching at ECMOR XV — Friday Faves

This week the proceedings for ECMOR XV – 15th European Conference on the Mathematics of Oil Recovery were published. It will take place in Amsterdam from 2016-08-29 to 2016-09-01. Naturally, there are a bunch of publication on improving history matching of models. An Ensemble 4D Seismic History Matching Framework with Wavelet Multiresolution Analysis – A […]

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 […]

What is 4D seismics?

4D seismics is hype. It’s the new stuff. But 4D is also somewhat obscure, so when I started telling people telling that I had landed a job in 4D seismics, the most common question was: So, Jesper, what’s the fourth dimension. The answer always causes some disappointment. “It’s time.” They were hoping for some obscure […]

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 […]

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 […]