Reo Ikawa

Random forest-based lithology identification using geophysical well logging data along a borehole in a coastal aquifer in Suruga Bay, Japan

Abstract Machine learning techniques have attracted attention for lithology identification, which is fundamental for understanding geological structures. However, the efficacy of machine learning-based lithology identification, specifically in deep (several hundred meters) coasta...