[Free Guide] – Novi Labs
The 11 Most Common Mistakes Oil & gas Operators Make While Building Machine Learning Capabilities

At Novi, we have worked with operators in every major shale play in the western hemisphere. We have seen a lot of mistakes made by operators–not to mention making a few ourselves–on their analytics journey.
Machine learning tools can be incredibly powerful, but there are many pitfalls that you may not know about before starting your project.
Download this free quick guide to learn why avoiding these common mistakes can help save your Machine learning projects from failure.
Latest Resources
[URTeC 2023] Revealing the Production Drivers for Refracs in the Williston Basin (ID 3864951)
May 2, 2023
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
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[URTeC 2023] Understanding the Drivers of Parent-child Depletion: A Machine Learning Approach (ID 3862321)
May 2, 2023
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
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[URTeC 2023] How Much Data is Needed to Create Accurate PDP Forecasts? (ID 3870872)
May 2, 2023
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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