This model combines exponential regression with K-nearest neighbors to predict the quantity of oil production from wells drilled in an area of northern Colorado. Without access to proprietary geological data, it uses exclusively public data downloaded or scraped from Colorado's official ECMC website.
In the example below, the orange curve is an exponential regression that was trained on this well's own data (included for reference). The green curve is a composite of 8 other exponential regressions trained on nearby wells.
Check out this demo notebook to see how it works, including hyperparameter tuning.