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Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India
Coil tubing (CT) is widely regarded as one of the most effective servicing tools for dealing with a variety of oil and gas production issues, and it is also commonly used for oil well workover operations in India's upper Assam basin. The current work considers QT 800 to be the CT material used...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889335/ https://www.ncbi.nlm.nih.gov/pubmed/36720948 http://dx.doi.org/10.1038/s41598-022-26670-5 |
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author | Neog, Dhrubajyoti Sarmah, Ankur Baruah, Mohammad Irfan Sunny |
author_facet | Neog, Dhrubajyoti Sarmah, Ankur Baruah, Mohammad Irfan Sunny |
author_sort | Neog, Dhrubajyoti |
collection | PubMed |
description | Coil tubing (CT) is widely regarded as one of the most effective servicing tools for dealing with a variety of oil and gas production issues, and it is also commonly used for oil well workover operations in India's upper Assam basin. The current work considers QT 800 to be the CT material used for actual oil well operations. With reference to actual operations carried out in some of the oil wells in the upper Assam basin, the current research analyses the limitations of CTs (QT 800, QT 900, and QT 1000) based on developing limit curves that can depict the operating limit and infer CT failure probability. This study also includes fatigue analysis to determine the likelihood of damage from hot oil circulation, water injection, and nitrogen shot operations while performing them using the CTs (QT 700, QT 800, QT 900, and QT 1000). The current work adopts the methodology of CT assessment based on a computational model built in MATLAB with respect to different oil well parameters in the upper Assam basin. This study takes an innovative approach by taking downhole temperature into account when determining the CT limit for QT 800, which signifies novelty in the current work. According to the computational analysis used in the study on CT limits, mechanical strain, thermal strain, and the combined strain of the CT material all affect CT elongation. This observation was often found to be a research gap in different research works as this aspect in previous studies was not considered while analysing CT operations. The findings of the present study highlight and draw the conclusion that temperature variations in the well and the CTU’s circulating fluid contribute linearly to CT strain. CT’s working limit diminishes with increasing internal and external pressure and diametrical growth, which eventually causes fatigue damage. |
format | Online Article Text |
id | pubmed-9889335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98893352023-02-02 Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India Neog, Dhrubajyoti Sarmah, Ankur Baruah, Mohammad Irfan Sunny Sci Rep Article Coil tubing (CT) is widely regarded as one of the most effective servicing tools for dealing with a variety of oil and gas production issues, and it is also commonly used for oil well workover operations in India's upper Assam basin. The current work considers QT 800 to be the CT material used for actual oil well operations. With reference to actual operations carried out in some of the oil wells in the upper Assam basin, the current research analyses the limitations of CTs (QT 800, QT 900, and QT 1000) based on developing limit curves that can depict the operating limit and infer CT failure probability. This study also includes fatigue analysis to determine the likelihood of damage from hot oil circulation, water injection, and nitrogen shot operations while performing them using the CTs (QT 700, QT 800, QT 900, and QT 1000). The current work adopts the methodology of CT assessment based on a computational model built in MATLAB with respect to different oil well parameters in the upper Assam basin. This study takes an innovative approach by taking downhole temperature into account when determining the CT limit for QT 800, which signifies novelty in the current work. According to the computational analysis used in the study on CT limits, mechanical strain, thermal strain, and the combined strain of the CT material all affect CT elongation. This observation was often found to be a research gap in different research works as this aspect in previous studies was not considered while analysing CT operations. The findings of the present study highlight and draw the conclusion that temperature variations in the well and the CTU’s circulating fluid contribute linearly to CT strain. CT’s working limit diminishes with increasing internal and external pressure and diametrical growth, which eventually causes fatigue damage. Nature Publishing Group UK 2023-01-31 /pmc/articles/PMC9889335/ /pubmed/36720948 http://dx.doi.org/10.1038/s41598-022-26670-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Neog, Dhrubajyoti Sarmah, Ankur Baruah, Mohammad Irfan Sunny Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India |
title | Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India |
title_full | Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India |
title_fullStr | Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India |
title_full_unstemmed | Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India |
title_short | Computational analysis of coiled tubing concerns during oil well intervention in the upper Assam basin, India |
title_sort | computational analysis of coiled tubing concerns during oil well intervention in the upper assam basin, india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889335/ https://www.ncbi.nlm.nih.gov/pubmed/36720948 http://dx.doi.org/10.1038/s41598-022-26670-5 |
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