Masanari Minamitani, Atsuto Katano, Tsukasa Sasaki, Satoshi Yamaguchi, Keiichi Nakagawa
Comparing health literacy and behavioral changes in adulthood: A pilot study on alumni of a single school cancer education program
PloS one
characterization development hydrocarbon reservoirs depends classification lithological patterns well log data thin reservoir units limited vertical data impedes efficient classification lithologies present test case petrofacies classification using machine learning models thin interval finely laminated limestones using pseudowell data created outcrops radiometric unconfined compressive strength logs tested gaussian nave bayes gnb support vector machine svm techniques classify eight petrofacies types divided two groups objective observe capacity wellknown models classify petrofacies highfrequency vertical variation diagenetic heterogeneities extreme scenario within thin sedimentary interval gnb less effective f 1 score 029 svm achieved best results classifying main facies patterns f 1 047 however gnb performed better analysis focused distinguishing two main groups petrofacies results demonstrate highfrequency facies variations present challenge automatic identification lithofacies mainly due local variations horizontal heterogeneities mm cmscale created depositional diagenetic processes impact flow porous media