Klasifikasi Dan Monitoring Performa Sumur Menggunakan Algoritma Random Forest…

Manual monitoring of oil well performance has limitations in efficiency and accuracy when dealing with field condition changes. This study applies the Random Forest algorithm to build a well performance classification model based on historical data. The dataset consists of 259,923 records from well compliance tests in the X Field of WK Rokan, containing technical parameters such as total oil, f…