Presentation/Workshop Production and Subsurface Machine Learning Model for Predicting Hydrocarbon Recovery Novi’s Kiran Sathaye used a machine learning model to quantitatively unify geology, completions, and spacing. He presented his results to the AAPG ACE annual convention and exhibition. How do I quantitatively incorporate subsurface, completions, and production data to make pre-drill predictions for unconventional wells […]| Novi Labs
Discover how Novi Labs empowers top teams to rapidly analyze acquisition opportunities, make investment allocation decisions and optimize drilling programs with proprietary upstream data and predictive analytics.| Novi Labs
Machine learning is helping the oil and gas industry increase ROI, cut costs and improve efficiency. Application of machine learning| Novi Labs
We explore the inherent bias in any oil & gas forecast and how we can minimize these well forecasting mistakes using machine learning models.| Novi Labs
We will explore estimating rock quality with SHAP values in a machine learning based model for forecasting.| Novi Labs