An abstract-only claim that LSTM with productivity-index features and conformal prediction improves out-of-sample oil production forecasting; the attached body text is a different paper, so the claim is unverified.
API design for machine learning software: experiences from the scikit-learn project
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Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction
An abstract-only claim that LSTM with productivity-index features and conformal prediction improves out-of-sample oil production forecasting; the attached body text is a different paper, so the claim is unverified.