While private operators enjoyed the advantage of flexibility in response to the oil price runup in early 2022, public operators seem to hold the dual advantages of access to capital and inventory depth in 2023
A simple post of gratitude to our customers and to the industry.
While some productivity drivers in a tight reservoir are observable and easily measured, others require multi-variate regressions and physics-driven feature engineering.
The shale inventory wall is a real challenge for our industry and has made the news circuit this past week.
Machine Learning (ML) models are critical tools in understanding productivity drivers and predicting DSU performance, but including too many features in your ML models reduces their impact on explain-ability and generalize-ability.
Kyle LaMotta, VP of Analytics explains, “The partial dependency plots (PDP) are one of the model diagnostics that we’ll use in every DSU Design Service analysis. The PDPs are a way to visualize how a feature is contributing to a prediction.