On May 10-11, we held our first ever Hackathon. We had no idea what to expect, but we were blown away by what the teams attempted and were able to accomplish.
25 participants arrived on Friday afternoon with varying degrees of preparedness and expectations. We provided a general theme, Automation, and the participants got to work. By the end of the night they had shared their ideas, formed their teams, and were ready to get to work.
On Saturday, after a long day of data exploration, planning, and coding, the teams presented to our three guest judges.
Elaine Honsberger, Husky Energy; Ron Larson, RPS Energy; and Steve Beatty, Lime Consulting, listened, asked questions, and gave feedback to each of the teams. After some deliberation from the judges, three teams were awarded prizes.
Daniel Orduz, Sonia Ponguta, Patrick Lagasca, Paulina Wozniakowska, Elwyn Galloway, Jieyu Zhang
Using open machine learning tools in Python, the team ran clustering algorithms to group wells to predict groundwater flow. Once the wells had their groupings created, the points were also plotted in 3D visualizations.
Alex Wright, Pedro Martinez, Chris Chalcraft, Geoff Eikerman, Syeda Areeba Ayaz, Mariana Candra, Todd Hustrulid
This team looked at raw gathers on a trace by trace basis to automatically deal with bad traces. By looking at different attributes of traces they had a prototype that was able to mute traces that had obvious issues. To automate the different notebooks built by them team, Chris wrote a tool to run the notebooks automatically and sequentially in their own environments.
Barry Wilmot, Ben Wilmot, Chris Barton, Shang Huang, Ziguang Su
Building the same Powerpoint over and over is a tedious task that can be a huge time sink for a geoscientist. This team was able to automatically pull photos from folders based on a naming scheme and build a Powerpoint presentation based on a given template.
Alexander Duxbury, Sean Pasek, Gia Mattu, Neil Gavinchuk, Noel Gore
In the spirit of the team name, it’s hard to pay attention to something for longer than five minutes, so this team built a dashboard for directional drilling data that you can display on your phone. Using plot.ly, they built a dashboard for seeing your data anywhere, anytime.
Eric Utas, Bruce Moore, Alireza Mardani, Kai Zhuang
While this team ran into some technical challenges dealing with their data, they had plans to automatically pick horizon tops based on available well log data.
We’d like to thank everyone that helped us have a successful event. We had no idea what we were doing, so we reached out to a few experts. Matt Hall from Agile Scientific was incredibly generous in sharing his expertise on how to run a hackathon, as was Stephanie Pitts-Noggle, Business Specialist with Champaign.org. We’re so grateful for the time and resources you shared with us.
We officially released the first version of our Well Pad Planning tool on August 30, and on September 11, we invited our customers to come down and see what this new product was all about. […]