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Rate of penetration optimization using burgoyne and young model (a case study of Niger delta formation)


International Journal of Petrochemical Science & Engineering
Idris Danasabe Tanko, Abubakar Tanko, Abubakar Bello

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Abstract

Drilling optimization models provide a technique for predicting and controlling drilling processes. Rate of penetration (ROP) prediction before drilling provides a means of improving overall drilling efficiency, minimization of drilling time and by extension reduction of drilling cost. Several ROP models are available in the oil and gas industry today, however most of these models are inadequate leading to inaccurate predictions. This work employs a different technique for ROP prediction by modifying original Burgoyne and Young’s (B&Y) model using data from Niger Delta. The ROP prediction and percentage error were determined at each of the selected well depth intervals The results obtained showed that the Burgoyne &Young model performed well by error of about 0.03%. The model was further optimized to minimize the error and the overall result shows that the error was minimized from 0.03% to 0.003%. Results obtained from the optimized Burgoyne and Young model imply that the model is suitable for ROP prediction in the Niger Delta

Keywords

drilling operation, optimization, rate of penetration, burgoyne, young model

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