by Well Data Labs | May 28, 2020 | Completions, Data Analytics, Data Science
Machine learning allows us to automatically place event flags across an entire job, instantly. This post will explain how flags generated automatically by Well Data Labs Power-Ups™ can be used to investigate five different operational efficiency indicators.A quick...
by Well Data Labs | Apr 22, 2020 | Completions, Data Analytics, Data Integration, Data Science, Industry Insights
The topic of fracture-driven interactions has been among some of the industry’s top headlines, perhaps not in the last several weeks but certainly in the previous year, if not longer. Whether you call it frac hits, frac bashing, well interference, or fracture-driven...
by Well Data Labs | Apr 16, 2020 | Completions, Data Analytics, Data Science
Data Science – the term is everywhere and for a good reason. With more and more data being generated every minute, it is imperative that companies adopt technologies like data science to store, process, and analyze that data. Everyone uses the term, but how many...
by Well Data Labs | Nov 13, 2019 | Completions, Data Science, Real-Time Frac
The Intelligent Oilfield. It’s a term we commonly hear discussed in boardrooms, at conferences, in industry journals, on blog posts, and in other media. While the oilfield is becoming increasingly intelligent, that intelligence is hindered by a lack of something...
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...
