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Porosity prediction using bagging ensemble machine learning in CCUS reservoirs. A case study: Darling Basin, Australia
Estimating CO 2 storage capacity plays an important role in carbon capture, utilization and
storage (CCUS) assessment since the feasibility of the identified reservoir largely depends …
storage (CCUS) assessment since the feasibility of the identified reservoir largely depends …
Effects of tuning decision trees in random forest regression on predicting porosity of a hydrocarbon reservoir. A case study: volve oil field, north sea
Machine learning (ML) has emerged as a powerful tool in petroleum engineering for
automatically interpreting well logs and characterizing reservoir properties such as porosity …
automatically interpreting well logs and characterizing reservoir properties such as porosity …
Prediction of values of Borsa Istanbul Forest, Paper, and Printing Index using machine learning methods
It is difficult to predict index values or stock prices with a single financial formula. They are
affected by many factors, such as political conditions, global economy, unexpected events …
affected by many factors, such as political conditions, global economy, unexpected events …