... a random search optimization algorithm is used. Also, different intervals along the boreholes are used to extract the lithology to find the sensitivity of the model to different interval length. The results show that the proposed model can predict the lithology with 86 percent accuracy. The model...

... and acquiring the sonic data from the lab experimental work, logging, and correlations are not effective way due to the time and cost besides the low accuracy for the correlation approach. Consequently, this paper targets to proposed an intelligent approach for determining the sonic logs from the drilling data...

...) and Random Forest respectively. Results show that the accuracy of the models firstly increases to the peak value and then decreases with the increase of input logging parameters. The prediction result of Random Forest is more accurate and stable compared to other models. However, the performance of DNN model...