Predicted (blue) vs. true depth (red) of the top McMurray pick.

Using Machine-learning to Extend Stratigraphic Surfaces

[BLOG POST COMING SOON]This weekend I finally got to do a hackathon project I’ve been wanting to try for more than two years. It leverages machine-learning to mimic human-created stratigraphic picks. It uses a dataset of 2000 wells with picks from the Alberta Energy Regulator, which is one of the only public datasets I’m aware[…]


What do I get out of conferences?

Four conferences, two hackathons, and a lot of meet-ups: Analyzing what I’ve gotten from technical gatherings outside of work this year  Part 1 –  The PremiseOver the last year, I’ve been lucky to attend more than my usual number of conferences, meetups, and hackathons. Some of the events were paid by work, some were paid[…]

screenshot of data viz tools talk

Presenting at Johnson Space Center Data Science Day

This week I presented on the last 40 years of digital data visualization tools at Johnson Space Center Data Science Day. The event was held just off site this year, so it could be opened up to the public. The talk was a condensed, and I think improved, version of a talk I had previous gave[…]

Raspberry Shake – Personal Seismometer

Sometimes I get to combine geology nerdiness with technology nerdiness. This post definitely falls into that category. Earlier this year, I contributed to a kickstarter campaign by Ángel Rodríguez that raised $99,258 to bring into existence an inexpensive short period seismometer produced by OSAP. It consists of programs running on the Raspberry Pi, a small board that sits on top of[…]

Meet Up Talk Data Viz Tools

“THE CHANGING LANDSCAPE OF DATA VISUALIZATION TOOLS IN LARGE ORGANIZATIONS”I recently gave a talk at the Houston Data Visualization meet-up. In addition to being a good excuse for putting time on my calendar to research the evolution of data visualization tools over the past 40 years, the talk allowed me to try out a few presentation[…]

Game of Thrones Parallel Sets Data Visualization

User interface add-ons to make a better parallel sets visualizations: (skip to the data visualization here.)Parallel sets is a data visualization type that shows how attributes of different types are distributed across a large number of instances. Common examples include datasets of the characteristics of passengers on the Titanic disaster and nutrition information of many different types of[…]


Flow Chart for Picking the Right Mapping Tool

I did some research on different tools for creating flow charts today.Originally, I started down this path trying to figure out what open-source project I might be able to hack on and produce a project that would generate XKCD style flow charts, similar to how bokeh (python library) has XCKD style plots as built-in option. I[…]