by Jessica Iriarte | Oct 1, 2020 | Completions, Data Analytics, Data Science, Machine Learning
At the most basic level, hydraulic fracturing’s main objective is to fracture the rock to stimulate the flow of hydrocarbons. When completion engineers design a frac job, their priorities are to optimize that flow while adhering to operational, budgetary, and...
by Ryan Guest | Sep 15, 2020 | Completions, Data Analytics, Data Science, Machine Learning, Real-Time Frac
Fracture-driven interactions, or FDIs, can be tough to detect in real-time even with the trained eye, but real-time machine learning now makes this possible. FDIs are not a new menace in the oilfield. They have been a challenge since the beginning of time, and are...
by Ryan Guest | Jun 4, 2020 | Completions, Data Analytics, Data Integration, Data Science
The newest fracture diagnostic on the market: how it works and what it can do for your completion operations The Upstream Oil & Gas Industry has seen its share of innovation and revolution over the past several decades. From the shale revolution allowing operators...
by Carly Wolfbrandt | 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 Jessica Iriarte | 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 Carly Wolfbrandt | 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...
