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What is Machine Learning for Safe Mud Window Prediction about?

This research develops a machine learning approach to predict safe mud window (SMW) parameters using geochemical drilling log data from Middle Eastern carbonate reservoirs. The hybrid model combining Least Squares Support Vector Machine (LSSVM) and optimization algorithms achieved superior accuracy in predicting mud pressure below shear and tensile failure, significantly enhancing drilling safety and efficiency. The study highlights the potential of machine learning in addressing complex relationships in dr

Author

soroush1999shj

Language

EN