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What is Neural Network Model for Drilling ROP about?

This document presents a novel neural network framework for predicting drilling rate of penetration (ROP). It begins by discussing the conventional Bourgoyne and Young model for ROP prediction, which uses multiple regression analysis to estimate coefficients. However, multiple regression analysis sometimes results in physically meaningless values. The document then proposes using an artificial neural network as an alternative model for ROP prediction. It describes developing an optimal artificial neural net

Author

денис

Language

EN