Ted CrossThis video goes into detail on Novi’s subsurface model for the Williston Basin in North Dakota and is incorporated in a Novi blog post on this same subject. Novi algorithms analyzed & extracted log data, conducted a principal component analysis, and used that information for model training. When combined with SHAP values, this workflow becomes a powerful way to generate rock quality maps using machine learning. And, it takes a day, not months.
We’ll have an entire presentation on this at URTeC. Drop us a line using the form below the video or click here if you would like a copy of our accepted abstract.
Latest Resources
[URTeC 2023] Revealing the Production Drivers for Refracs in the Williston Basin (ID 3864951)
Revealing the Production Drivers for Refracs in the Williston Basin Technical Paper Details:: Technical presentation: Exhibition Hall F, Station B | 8:50 a.m. – 10:10 …
[URTeC 2023] Understanding the Drivers of Parent-child Depletion: A Machine Learning Approach (ID 3862321)
Understanding the Drivers of Parent-child Depletion: A Machine Learning Approach Technical Paper Details:: Theme 5: Geomechanics – The Intersection of Geoscience and Engineering Topic: Understanding …
[URTeC 2023] How Much Data is Needed to Create Accurate PDP Forecasts? (ID 3870872)
How Much Data is Needed to Create Accurate PDP Forecasts? Technical Paper Details:: Technical Presentation: Wednesday, June 14th, 2023 Theme 9: Future of Production Forecasting: …
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