Novi’s URTeC 2020 paper, Predicting Water Production in the Williston Basin Using a Machine-Learning Model has been featured in the September issue of JPT.
The article highlights the many ways that the potent combination of machine learning models plus “explainability” datasets like SHAP values (from Game Theory!) can add value for operators, midstream companies, and local stakeholders. Digital oilfield software developed for oil forecasting can be easily adapted for water forecasting!
You can read the article in the September issue, or view online here.