Effects of tuning decision trees in random forest regression on predicting porosity of a hydrocarbon reservoir. A case study: volve oil field, north sea Academic Article uri icon

abstract

  • This study investigates the effects of tuning n_estimators along with max_features and min_samples_leaf in random forest regression when predicting the porosity of the Volve oil field.

publication date

  • 2024

number of pages

  • 12

start page

  • 2335

end page

  • 2347

volume

  • 3

issue

  • 9