The 11 Most Common Mistakes Operators Make While Building Machine Learning Capabilities

[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.

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INTRODUCING CAUSAL MODELS

Accurate forecast on parent-child developments

In this live webinar, you will learn how Novi’s new algorithm improves model sensitivity for spacing and parent-child scenarios, providing powerful results for previously difficult-to-analyze problems.

Ted Cross, our VP of Product Management, will show you how this update improves spacing and infill scenario analysis without sacrificing model accuracy.