Ted CrossHow do tree based machine learning models come up with forecasts for oil & gas wells? In this video, we look at an example use case in the Williston Basin, using Novi’s Production Modeler to see which wells the model thought were Analogs.
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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