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Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki

Drilling in carbonate rock is quite challenging due to the presence of a naturally fractured zone and a vug porosity system, both of which can cause lost circulation. These losses could make hole cleaning more problematic. The lack of a hole cleaning parameter in the Bourgoyne and Young (B&Y) mo...

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Main Author: Sauki, Arina
Format: Thesis
Language:English
Published: 2022
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TJ Mechanical engineering and machinery
Online Access:https://ir.uitm.edu.my/id/eprint/59512/1/59512.pdf
https://ir.uitm.edu.my/id/eprint/59512/
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spelling my.uitm.ir.595122023-05-26T03:14:33Z https://ir.uitm.edu.my/id/eprint/59512/ Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki Sauki, Arina TJ Mechanical engineering and machinery Drilling in carbonate rock is quite challenging due to the presence of a naturally fractured zone and a vug porosity system, both of which can cause lost circulation. These losses could make hole cleaning more problematic. The lack of a hole cleaning parameter in the Bourgoyne and Young (B&Y) model for drilling rate prediction, as well as multicollinearity in the regression process, causes the model to be inaccurate, especially when applied to carbonate rock drilling. Therefore, the study aims to improve ROP prediction accuracy in loss zones of carbonate formation by modifying the B&Y model based on loss severity levels by including cutting transport ratio (RT) parameter and eliminating multicollinearity parameters. The RT parameter was proposed from a relationship between equivalent circulating density (ECD) and drilled solid concentrations at different formations through experimental analysis and field data. The experimental analysis was conducted by taking the drilled solid samples from four formations, namely Radhuma, Tayarat, Hartha and Sadi in North Kuwait onshore field. The rheological behaviour of the drilled solids-laden mud was conducted according to API Recommended Practice 13B. As a result of the laboratory tests and actual field data, new empirical equations between drilled solid concentration and equivalent circulating density were proposed. ECD from laboratory works matched with the ECD field at an R2 value of 0.93, proving the data’s reliability. For model development, 80 drilling datasets from the North Kuwait field were used, and another 38 datasets were used for model verification. The modified model can improve the model accuracy about 29-31% and 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. The modified model's application to other field location data resulted in model improvement about 37% using Kinabalu East-1 field data and substantial R2 value of 0.996 using Khangiran Iranian gas field data. Finally, the modified model can be used as a tool for drilling optimization and can reduce drilling costs and time by around 7% and 19%, respectively. 2022 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/59512/1/59512.pdf Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki. (2022) PhD thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/59512.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Sauki, Arina
Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki
description Drilling in carbonate rock is quite challenging due to the presence of a naturally fractured zone and a vug porosity system, both of which can cause lost circulation. These losses could make hole cleaning more problematic. The lack of a hole cleaning parameter in the Bourgoyne and Young (B&Y) model for drilling rate prediction, as well as multicollinearity in the regression process, causes the model to be inaccurate, especially when applied to carbonate rock drilling. Therefore, the study aims to improve ROP prediction accuracy in loss zones of carbonate formation by modifying the B&Y model based on loss severity levels by including cutting transport ratio (RT) parameter and eliminating multicollinearity parameters. The RT parameter was proposed from a relationship between equivalent circulating density (ECD) and drilled solid concentrations at different formations through experimental analysis and field data. The experimental analysis was conducted by taking the drilled solid samples from four formations, namely Radhuma, Tayarat, Hartha and Sadi in North Kuwait onshore field. The rheological behaviour of the drilled solids-laden mud was conducted according to API Recommended Practice 13B. As a result of the laboratory tests and actual field data, new empirical equations between drilled solid concentration and equivalent circulating density were proposed. ECD from laboratory works matched with the ECD field at an R2 value of 0.93, proving the data’s reliability. For model development, 80 drilling datasets from the North Kuwait field were used, and another 38 datasets were used for model verification. The modified model can improve the model accuracy about 29-31% and 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. The modified model's application to other field location data resulted in model improvement about 37% using Kinabalu East-1 field data and substantial R2 value of 0.996 using Khangiran Iranian gas field data. Finally, the modified model can be used as a tool for drilling optimization and can reduce drilling costs and time by around 7% and 19%, respectively.
format Thesis
author Sauki, Arina
author_facet Sauki, Arina
author_sort Sauki, Arina
title Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki
title_short Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki
title_full Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki
title_fullStr Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki
title_full_unstemmed Modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / Arina Sauki
title_sort modified bourgoyne and young model using loss severity multiple regression by inclusion of cuttings transport ratio for drilling rate prediction / arina sauki
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/59512/1/59512.pdf
https://ir.uitm.edu.my/id/eprint/59512/
_version_ 1768011469881868288
score 13.211869

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