Random-Forest Prediction of Shear-Wave Slowness from Conventional Well Logs for Geomechanical Applications: A Two-Well Case Study
The aim of this study is to evaluate whether a random-forest model trained on conventional well logs can reconstruct missing shear-wave slowness (DTS) with sufficient transparency for downstream geomechanical calculations. Field-acquired DTS and 12 conventional curves from Well A were used for model development and pro...