Evaluating the Performance of Multivariate Imputation by Chained Equations (MICE) when Predicting Missing Well-Log Data in Sedimentary Basins

This research evaluates the applicability of Multivariate Imputation by Chained Equations (MICE) for estimating missing well-log data across different sedimentary basis. Utilizing various machine learning techniques including XGBoost (XGB), Random Forest (RF), K-Nearest Neighbors (KNR), and Bayesian Ridge (BR), the performance of MICE was tested...