by Well Data Labs | Oct 1, 2019 | Completions, Data Science
Garbage in, garbage out. The quality of information coming out of a system can never be better than the quality of information that was put in. It may sound sort of like one of Newton’s laws of physics, it’s not. But at the very least, it’s an always relevant guiding...
by Well Data Labs | Apr 8, 2019 | Data Science, Industry Insights
Much has been written about the digital oilfield, just Google it and you’ll get pages of results. The term has been around for nearly 20 years, and we thought it would be fun to provide a high-level overview of what it means and assess where we are in terms of...
by Well Data Labs | Mar 1, 2018 | Data Integration, Data Science
Data Resolution – Why is it important? New software is allowing companies to capture and store more granular data than ever. In O&G, specially in completions operations, some of the most detailed data is acquired off field equipment at a one-second level....
by Well Data Labs | Nov 29, 2017 | Data Science, Industry Insights
For many operators, it seems like the well is a baton handed off from the drilling team to the completions team to the production team. Each group has their own tools, their own questions, and their own ideas about what makes for a quality well. But at the end of the...
by Well Data Labs | Sep 7, 2017 | Completions, Data Science
Guest Post by Ky Kiefer We often design hydraulic fracturing treatments around historical success. We look to the successes (and failures) of “wildcatters” of the past and attempt to replicate treatment designs. Once we have a baseline treatment that tends...
by Well Data Labs | Apr 19, 2016 | Completions, Data Science
Published over a month ago, I just had the opportunity to read a fantastic article by Anya Litvak of the Pittsburgh Post-Gazette, and thought it was worth sharing. Titled “Shale companies turn to machines to crunch their drilling data,” Anya does a wonderful job of...
