Rate of Penetration Estimation with Parameter Correction

Accurate estimation of the Rate of Penetration (ROP) is essential for optimizing drilling operations, particularly in deep wells where traditional methods based on nominal depth measurements often fall short. These conventional approaches typically overlook dynamic influences such as drill string elongation caused by tension, hydraulic pressure, and thermal effects, leading to significant errors in ROP estimation. This study introduces a comprehensive method that integrates well depth correction and dynamic modeling of drill string elongation to enhance ROP accuracy. Furthermore, model-based filtering techniques are incorporated into a dynamic ROP estimation framework to improve real-time performance. Simulation results indicate that the combination of elongation corrections and filtering significantly reduces estimation errors and enhances reliability under varying drilling conditions. The proposed method provides a more accurate and robust ROP estimation framework, contributing to improved real-time monitoring and operational decision-making in drilling processes.