eprintid: 14435
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/44/35
datestamp: 2023-11-10 03:29:01
lastmod: 2023-11-10 03:29:01
status_changed: 2023-11-10 01:56:54
type: article
metadata_visibility: show
creators_name: Sauki, A.
creators_name: Faizura Megat Khamaruddin, P.N.
creators_name: Irawan, S.
creators_name: Kinif, I.
creators_name: Ridha, S.
creators_name: Ali, S.A.
creators_name: Ali, M.A.
title: Development of a modified Bourgoyne and Young model for predicting drilling rate
ispublished: pub
keywords: Carbonation; Forecasting; Infill drilling, Bourgoyne and young; Carbonate; Carbonate formations; Cuttings transport ratios; Drilling rates; Loss severity level; Modified model; Multicollinearity; Multiple regressions; Rate of penetration, Regression analysis, carbonate rock; drilling; permeability; porous medium; prediction; regression analysis
note: cited By 6
abstract: Drilling in carbonate rock is quite challenging as the formation is permeable and porous, hence, leads to the possibility of having mud losses. Since drilling into loss formation requires controlling some of the operational drilling parameters, the rate of penetration (ROP) prediction in this area, especially in carbonate formation could be challenging. As a result, the study aims to improve the accuracy of ROP prediction in carbonate loss zones by adjusting the Bourgoyne and Young (B&Y) model, which is the most comprehensive model to date and has been used until now but is missing this feature. Modification of the drilling rate model is performed based on loss severity levels by including cutting transport ratio (RT) parameter and eliminating multicollinearity parameters. The considered elements in the modified model are loss severity level, weight-on-Bit (WOB), rotary speed (rpm), bit wear and modified hydraulics with cutting transport ratio. The North Kuwait field's drilling data was used for multiple regression analysis (MRA) with categorical coding (1,0) and generated the model. A total of 80 drilling datasets were used for model development and another 38 datasets for model verification. The modified model could predict the ROP for different loss severity levels in carbonate formation based on the results. The original model yielded an R2 value of 0.52, while the modified model yielded an R2 value of 0.81 for the first set of data, resulting in an ROP accuracy improvement of about 29. Meanwhile, the original and modified models yielded R2 values of 0.57 and 0.88, respectively, which improved the model accuracy by 31 for the second set of data. The modified model accurately predicted the ROP with a mean absolute error (MAE) of 3.21, 4.08 and 3.50 for seepage loss, partial loss and severe loss, respectively and outperformed all the existing four ROP models. Also, this modification reduced the number of constants used for the regression analysis. Consequently, a reduction in the number of required data points and elimination of the regression process's multicollinearity effect was attained. © 2021 Elsevier B.V.
date: 2021
publisher: Elsevier B.V.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106859246&doi=10.1016%2fj.petrol.2021.108994&partnerID=40&md5=63b1b03de10c5e07c7aec8efbab9c8a5
id_number: 10.1016/j.petrol.2021.108994
full_text_status: none
publication: Journal of Petroleum Science and Engineering
volume: 205
refereed: TRUE
issn: 09204105
citation:   Sauki, A. and Faizura Megat Khamaruddin, P.N. and Irawan, S. and Kinif, I. and Ridha, S. and Ali, S.A. and Ali, M.A.  (2021) Development of a modified Bourgoyne and Young model for predicting drilling rate.  Journal of Petroleum Science and Engineering, 205.   ISSN 09204105