S. Dwumah

Multi-Output Machine Learning for Simultaneous Prediction of Oil, Gas, and Water Rates: Effect of Well Data Partitioning on Model Performance

Machine learning models for petroleum production forecasting are routinely benchmarked using random data splitting, yet production records are temporally ordered and well-clustered, making this practice susceptible to data leakage. A multi-output machine learning workflow for simultaneous prediction of oil, gas, and...