Esben PedersenEditor's note: we are excited to present this work, the winner of Novi's inaugural Student Blog Contest. Many thanks to Esben and ...
Ted CrossNovi geoSHAP – estimating rock quality using SHAP values in machine learning models: URTeC 2020 Novi Paper Summary
"What do you mean the model doesn't use **INSERT PET GEOLOGIC VARIABLE HERE**?!" Anyone who's built and reviewed enough machine learning models ...
Water, water everywhere: oil well water analysis with machine learning models to improve produced water forecasts in the Williston Basin: URTeC 2020 Novi Paper Summary
How often does an engineer dash off a simple oil well water analysis, doing something like applying a flat WOR to their ...
Garth Stottshow does a 3 billion barrel discovery turn into a $3 billion impairment in oil and gas plays?
Involvement in exploring a substantial discovery and bringing it to development is an exciting opportunity. There is nothing more valuable to a ...
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 analogy ...
Playing enough short game to get to the long game :: revisiting the Parsley-Jagged deal at $30 strip
Golf, like drilling oil wells, is a strategy game. When do I go for the green versus laying up and saving par? ...
John ChaplinThe confidence game: optimizing completions for XEC DUC wells in the Delaware using model confidence as a proxy for risk
IN THIS POST: Introduction: Problem we are trying to solve; methodology we are applying to solve it Where is XEC's DUC inventory? Maximizing 2 year ...
DUC, DUC, GOOSE: In a sub-$30 oil environment how can NBL maximize returns with less CAPEX spend in their Delaware asset?
Given the extreme capital constraints imposed by a lower commodity price environment, many operators have announced CAPEX reductions and significant rig layoffs. ...