Using Machine Learning for Lithology Classification from Wireline Logs
Facies classification is a common practice in the Oil and Gas industry, where rock types are interpreted as correlations between the wireline logs and core analysis logs. However, it is can be a long process and each interpreter has a different approach for the classification. The goal of an automated machine learning facies classification is to help the interpreters in their conclusions (not a replacement). We will go through the whole data science process for the facies classification: data cleaning, data analysis, data imputation, feature engineering, modeling, and interpretation. All in R.