... efficiency. Among the models of machine learning tested, random forest regressor emerged as the most suitable, with higher R 2 values, indicating better predictive capability. Table 1 Engine specifications used for modeling Parameter Characteristics Make Kirloskar, India Mode AV1...

... parameters. Utilizing a comprehensive dataset from 12 diverse wells, it employs advanced machine learning techniques including an adaptive moment estimation-based artificial neural network for developing the algorithm. By integrating various controllable and uncontrollable drilling parameters, the random...