Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature
Accurate cement slurry temperature prediction is a prerequisite for improving cementing quality and ensuring wellbore integrity and sealing of oil and gas wells. It plays a crucial role in preventing “gas migration” and “sustained casing pressure” problems and reducing environmental pollution. The c...
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MDPI AG
2023-06-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/13/4852 |
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author | Bo Feng Jin Li Zaoyuan Li Xuning Wu Jian Liu Sheng Huang Jinfei Sun |
author_facet | Bo Feng Jin Li Zaoyuan Li Xuning Wu Jian Liu Sheng Huang Jinfei Sun |
author_sort | Bo Feng |
collection | DOAJ |
description | Accurate cement slurry temperature prediction is a prerequisite for improving cementing quality and ensuring wellbore integrity and sealing of oil and gas wells. It plays a crucial role in preventing “gas migration” and “sustained casing pressure” problems and reducing environmental pollution. The construction links before the start of cementing are neglected by the existing prediction methods, and thus, it is not reasonable to assume initial temperature conditions. In this paper, a two-dimensional transient temperature field model for cementing is developed and its reasonableness is verified. The distribution of wellbore and formation temperature fields at cementing beginning is calculated. In addition, the influence rules of several factors on the cement slurry circulation temperature are calculated and discussed. The results show that the initial temperature varies significantly and that each factor affects the fluid circulation temperature in different ways and to different degrees. If the circulating wash operation before cementing is considered, the temperature field decreases in the downhole section and increases in the uphole section compared to the assumption that the initial condition is the original formation temperature. By correcting the initial conditions, the accuracy of cement slurry circulation temperature prediction can be improved. |
first_indexed | 2024-03-11T01:43:26Z |
format | Article |
id | doaj.art-d7e6fda9e3204adfaf0784268167a5b0 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T01:43:26Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-d7e6fda9e3204adfaf0784268167a5b02023-11-18T16:26:48ZengMDPI AGEnergies1996-10732023-06-011613485210.3390/en16134852Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry TemperatureBo Feng0Jin Li1Zaoyuan Li2Xuning Wu3Jian Liu4Sheng Huang5Jinfei Sun6Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, ChinaPetroleum Engineering School, Southwest Petroleum University, Chengdu 610500, ChinaPetroleum Engineering School, Southwest Petroleum University, Chengdu 610500, ChinaPetroleum Engineering School, Southwest Petroleum University, Chengdu 610500, ChinaPetroleum Engineering School, Southwest Petroleum University, Chengdu 610500, ChinaPetroleum Engineering School, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Sciences, Southwest Petroleum University, Chengdu 610500, ChinaAccurate cement slurry temperature prediction is a prerequisite for improving cementing quality and ensuring wellbore integrity and sealing of oil and gas wells. It plays a crucial role in preventing “gas migration” and “sustained casing pressure” problems and reducing environmental pollution. The construction links before the start of cementing are neglected by the existing prediction methods, and thus, it is not reasonable to assume initial temperature conditions. In this paper, a two-dimensional transient temperature field model for cementing is developed and its reasonableness is verified. The distribution of wellbore and formation temperature fields at cementing beginning is calculated. In addition, the influence rules of several factors on the cement slurry circulation temperature are calculated and discussed. The results show that the initial temperature varies significantly and that each factor affects the fluid circulation temperature in different ways and to different degrees. If the circulating wash operation before cementing is considered, the temperature field decreases in the downhole section and increases in the uphole section compared to the assumption that the initial condition is the original formation temperature. By correcting the initial conditions, the accuracy of cement slurry circulation temperature prediction can be improved.https://www.mdpi.com/1996-1073/16/13/4852cement slurry temperatureinitial conditiontransient temperature field modelscirculation temperature distributioninfluence factors |
spellingShingle | Bo Feng Jin Li Zaoyuan Li Xuning Wu Jian Liu Sheng Huang Jinfei Sun Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature Energies cement slurry temperature initial condition transient temperature field models circulation temperature distribution influence factors |
title | Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature |
title_full | Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature |
title_fullStr | Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature |
title_full_unstemmed | Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature |
title_short | Enhancing Environmental Protection in Oil and Gas Wells through Improved Prediction Method of Cement Slurry Temperature |
title_sort | enhancing environmental protection in oil and gas wells through improved prediction method of cement slurry temperature |
topic | cement slurry temperature initial condition transient temperature field models circulation temperature distribution influence factors |
url | https://www.mdpi.com/1996-1073/16/13/4852 |
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