Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning

For efficient permeability modeling and prediction in oil and gas reservoirs, the recorded well-log data and the discrete lithofacies are calibrated with the limited core data available and then used for the prediction in unobserved and unsampled well-bore sections. Like other machine learning model...

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