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Le-Jun Wu

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Open access Sep 2026

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...

Yu-Jue Wang, Le-Jun Wu, Zi-Chao Yue et al. · 0 citations

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