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This study utilizes machine learning and well log data to predict total organic carbon (TOC) in Jurassic source rocks from the Khatatba and Ras Qattara formations in Northwestern Desert, Egypt. The research indicates that well log models can effectively quantify TOC, achieving high R2 values, while machine learning methods showed lower accuracy. The findings suggest that well log data is a reliable alternative for evaluating organic source quantity in the absence of geochemical data.

Author

fikrascribdacademy23156

Language

EN