A Novel Rate of Penetration Prediction Model for Large Diameter Drilling: An Approach Based on TBM and RBM Applications
J. De Moura, J. Yang, S. De Butt
Memorial University of Newfoundland, NL A1B 3X9, Canada
Keywords: Penetration rate, tunnel boring machine, raise boring machine, drilling performance
Abstract
In this paper, De Moura and Butt model is extended to the large diameter drilling applications. The model proved to be effective and highly accuracy in predicting drilling performance in 19 distinct RBM and TBM operations even in the presence of datasets with high dispersion.
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