The goal is to develop data-driven models by processing “easy-to-acquire” conventional logs from Well 1 and using the data-driven models to generate synthetic compressional and shear travel-time logs (DTC and DTS, respectively) in Well 2.
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The goal is to develop data-driven models by processing “easy-to-acquire” conventional logs from Well 1 and using the data-driven models to generate synthetic compressional and shear travel-time logs (DTC and DTS, respectively) in Well 2.
arushi2509/Pseudo-Log-Generation-using-Machine-Learning
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The goal is to develop data-driven models by processing “easy-to-acquire” conventional logs from Well 1 and using the data-driven models to generate synthetic compressional and shear travel-time logs (DTC and DTS, respectively) in Well 2.
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