Kris DarnellMachine learning models that forecast production for PDP or PUD oil and gas wells may increase accuracy, save engineering time, or replace ...
Ted CrossAhead of the Curve: Introducing Novi PDP Oil & Gas Forecasting
It all started as an accident. We passed early time production to a "pre-drill" Novi model. When we saw the results, we ...
Machine Learning Regional Profiles for Geologic Insights: Mapping Unconventional Production Drivers in the Williston Basin
What drives unconventional oil production? Of course completions, parent-child, and well spacing all play a huge role -- but it all starts ...
The Changing Impact of Oil Well Design Completions Through Time: URTeC 2020 Novi Paper Summary
"Upsizing well completions increase production 37.5%*!!!" Sure, but when? Where that asterisk lands will have a huge impact on the returns of ...
Building Unbiased Benchmarks with Machine Learning Oil and Gas Modeling: URTeC 2020 Novi Paper Summary
90% of American drivers say they're better than average, and 90% of Shale focused Operators have "peer-leading" breakevens, returns and well production ...
the power of analogy : using novi’s contributing oil well data to understand machine learning predictions
Whether exploring for oil offshore Brazil or scaling type curves in Lea County, engineers and geologists rely upon the power of ...
Garth Stottstrust me, I’m an objective engineer: uncovering the inherent bias in oil and gas forecasts
Capital allocation decisions made by Engineers that work at E&P companies are completely rational and unimpacted by their own experiences or personal ...