Several mathematical ROP models were developed in the last five decades in the petroleum industry, departing from rather simple\nbut less reliable R-W-N (drilling rate, weight on bit, and rotary speed) formulations until the arrival to more comprehensive and\ncomplete approaches such as the Bourgoyne and Young ROP model (BYM) widely used in the petroleum industry. The paper\nemphasizes the BYM formulation, how it is applied in terms of ROP modeling, identifies the main drilling parameters driving\neach subfunction, and introduces how they were developed; the paper is also addressing the normalization factors and modeling\ncoefficients which have significant influence on the model. The present work details three simulations aiming to understand the\napproach by applying the formulation in a presalt layer and how some modification of the main method may impact the modeling\nof the fitting process. The simulation runs show that the relative error measures can be seen as the most reliable fitting verification\non top of R-squared. Applying normalization factors and by allowing a more wide range of applicable drillability coefficients, the\nregression could allow better fitting of the simulation to real data from 54% to 73%, which is an improvement of about 20%.
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