Machine Learning for Oil and gas

SEG-Y format, vital for seismic data processing. It covers the format’s structure, Python tools for managing data, and typical challenges

Find the best model for geo-tasks

The whys and the hows

As an old adage goes, “If there is something wrong with your stack, check the first breaks”.

A good seismic processing is like a four-leaf clover, hard to find and lucky to have. Everybody involved in oil and gas knows that the…

Jupyter Notebook is a very handy and ubiquitous ML prototyping tool. However, at some point you have to perform reproducible multiple…

A new library for working with the most popular seismic storage

It takes courage and decent level of madness to embark on a journey towards details of "who wore it better". Buckle up, it's a nasty trip!

Tips on "how not to do"! In our opinion, sharing about the “failed” project is none less important than shouting about the successful ones.

Fully automated approach using Deep Learning

In previous articles, we have covered several tasks of seismic interpretation: horizon detection and facies segmentation. Another important…

Nowadays, Python is one of the most widespread programming languages. Our team uses it to crunch terabytes of seismic data with neural…