Read through our posts covering real world applications of machine learning in oil & gas using AI-driven software and data tools. Learn from seasoned, experienced industry veterans as they go into technical topics related to machine learning, artificial intelligence, risk, and digital oilfield.
We welcome guest writers working in the oil and gas industry. They work with oil and gas machine learning models using AI software to solve complex problems and optimize capital. If you would like to contribute a post or have an idea for us, send us a note.
Can unconventional well productivity predict peak oil and gas production?
Have we reached peak oil? Predict the performance and productivity of the major basins like the Permian and Eagle Ford with Novi Insight.
Is it worth It? Quantifying the value of collecting and interpreting subsurface data. [URTeC 2022 Novi Paper Summary]
Rejoice geologists, geophysicists and petrophysicists! We provide a novel approach to answer the question: Is it worth it for the industry to spend hundreds of millions of dollars each year to collect and interpret subsurface data? In short, you bet!
Overcoming barriers to data-driven workflows: introducing Novi Model Engine
Although shiny machine learning algorithms get most of the attention, data preparation takes the most work. Erroneous completions data must be fixed or removed. Messy formation names need to be cleaned up.
Public Data Models: Better Than Anyone Expected
We have all heard the saying “garbage in = garbage out” when it comes to creating any sort of statistical model. You may have even …
Founder Point of View :: Novi Acquisition of ShaleProfile
Jon Ludwig, Novi’s Founder and President, explains the thesis behind the acquisition of ShaleProfile, a leading provider of data and analytics to energy investors.
Oil and Gas Cube Development: How Dense is Too Dense??
Of all the levers available to an operator, perhaps none has a greater impact on unit economics than wells per section. Over the past few …