eprintid: 16193
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/61/93
datestamp: 2023-12-19 03:22:44
lastmod: 2023-12-19 03:22:44
status_changed: 2023-12-19 03:05:48
type: conference_item
metadata_visibility: show
creators_name: Sauki, A.
creators_name: Khamaruddin, P.N.F.M.
creators_name: Irawan, S.
creators_name: Kinif, I.
creators_name: Ridha, S.
title: Application of Multiple Regression Technique for Predicting Drilling Rate in Loss Zone
ispublished: pub
note: cited By 0; Conference of 10th International Conference on Applied Scienceand Technology, ICAST 2021 ; Conference Date: 25 October 2021 Through 26 October 2021; Conference Code:184130
abstract: Prediction of drilling rate is important to optimize drilling operation, and it is typically performed based on gathering drilling data from the history of nearby wells. Previous researchers have proposed numerous techniques to improve the mathematical model's accuracy and the multiple regression techniques in predicting the drilling rate. However, 100 accuracy of the drilling rate model as compared to field data is yet achievable. This study proposes a modification of multiple regression techniques by gathering data according to the loss zone. Thus, the Bourgoyne and Young model has been used, and the drilling data from the North Kuwait field was selected for the multiple regression analysis. Multiple regression analysis was compared according to loss zone, formation type, BHA interval and single well to achieve the Bourgoyne and Young model's coefficients. The achieved coefficients were used for drilling rate estimation using the model and compared with the real field data. Based on the findings, it was observed that using multiple regression techniques according to loss zone would result in more accurate prediction than other methods with the improvement of R2 value from 0.523 to 0.646 (12.3 improvement). Therefore, it is suggested that categorizing drilling data according to the loss zone for multiple regression analysis needs to be considered for drilling rate prediction for better accuracy. © 2022 American Institute of Physics Inc.. All rights reserved.
date: 2022
publisher: American Institute of Physics Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142479660&doi=10.1063%2f5.0122008&partnerID=40&md5=cdc0344600148c2c353899e29b47b6bd
id_number: 10.1063/5.0122008
full_text_status: none
publication: AIP Conference Proceedings
volume: 2644
refereed: TRUE
isbn: 9780735442412
issn: 0094243X
citation:   Sauki, A. and Khamaruddin, P.N.F.M. and Irawan, S. and Kinif, I. and Ridha, S.  (2022) Application of Multiple Regression Technique for Predicting Drilling Rate in Loss Zone.  In: UNSPECIFIED.