Novi Labs[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
[Data Engine] Merging multiple source files and building a dataset
Looking for a faster and more efficient way to build analytics-ready datasets? Join Charles Kosa, Novi’s Head of Customer Success, as he takes you on …
[URTeC 2022] The Diminishing Returns of Lateral Length Across Different Basins (ID 3723784)
The Diminishing Returns of Lateral Length Across Different Basins Talk Details:: – Tuesday, June 21st at 2:15 PM | Room 371 – Theme 7: Applications …
[URTeC 2022] Accelerating field optimization for Shell in the Neuquén Basin using Novi Labs machine learning
Accelerating field optimization for Shell in the Neuquén Basin using Novi Labs machine learning AUTHORS DP. Zannitto2, C. Kosa1 (1. Novi Labs 2. Shell Compania …
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