Evaluation of Source Rock Potentiality and Prediction of Total Organic Carbon Using Well Log Data and Integrated Methods of Multivariate Analysis, Machine Learning, and Geochemical Analysis - Nyakilla, Edwin E.; Silingi, Selemani N.; Shen, Chuanbo; Jun, Gu; Mulashani, Alvin K.; Chibura, Patrick E. (Natural resources research (New York, N.Y.), 2022)
Keywords: Chemistry and Earth Sciences; Computer Science; Core analysis; Earth and Environmental Science; Earth Sciences; Economic importance; Fossil Fuels (incl. Carbon Capture); Gaussian process; Geochemistry; Geography; Hydrocarbons; Kerogen; Learning algorithms; Machine learning; Mathematical Modeling and Industrial Mathematics; Mineral Resources; Multivariate analysis; Oil exploration; Organic carbon; Original Paper; Physics; Predictions; Pyrolysis; Rocks; Statistical analysis; Statistics; Statistics for Engineering; Support vector machines; Sustainable Development; Total organic carbon; Triassic; Cluster analysis; Factor analysis; Machine learning; Geochemical analysis; ); Pearson's correlation coefficient; Source rock