An Improved Model for Predicting Fluid Temperature in Deep Wells

Boyun Guo; Jinze Song

doi:doi:10.11648/j.mma.20160101.14

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An Improved Model for Predicting Fluid Temperature in Deep Wells

Boyun Guo, Jinze Song

Published in Mathematical Modelling and Applications (Volume 1, Issue 1)

Received: 17 July 2016 Accepted: 14 October 2016 Published: 21 October 2016

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Abstract

The objective of this study was to develop an improved method to predict fluid temperature profiles in high-temperature wells for designing production string in deep-water development. The method was developed on the basis of heat transfer involves heat convection and conduction inside the production string and in the annular space. The governing equations were solved using the method of characteristics, resulting in two simple closed-form equations. The method was coded in a spreadsheet for easy applications. Data from three wells were employed to check the accuracy of the new method. Comparisons of results from Hasan's method, Gilbertson et al.'s method, and the new method with temperature data measured in two gas-lift wells show that the new method best predicts well temperatures in trend. A comparison of results given by Mao's method and the new method with temperatures observed in a deep-water gas well testing indicates that the new method better predicts well temperatures with errors less than 4%. This work provides petroleum engineers a simple and accurate method for predicting temperature profiles in oil and gas production operations, especially deep-water operations. It eliminates the need for sophisticated analytical and numerical models in fluid temperature analysis.

Published in	Mathematical Modelling and Applications (Volume 1, Issue 1)
DOI	10.11648/j.mma.20160101.14
Page(s)	20-25
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Fluid Temperature, Deep Wells, Gas-Lift Wells, Heat Transfer

References

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APA Style

Boyun Guo, Jinze Song. (2016). An Improved Model for Predicting Fluid Temperature in Deep Wells. Mathematical Modelling and Applications, 1(1), 20-25. https://doi.org/10.11648/j.mma.20160101.14

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ACS Style

Boyun Guo; Jinze Song. An Improved Model for Predicting Fluid Temperature in Deep Wells. Math. Model. Appl. 2016, 1(1), 20-25. doi: 10.11648/j.mma.20160101.14

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AMA Style

Boyun Guo, Jinze Song. An Improved Model for Predicting Fluid Temperature in Deep Wells. Math Model Appl. 2016;1(1):20-25. doi: 10.11648/j.mma.20160101.14

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@article{10.11648/j.mma.20160101.14,
  author = {Boyun Guo and Jinze Song},
  title = {An Improved Model for Predicting Fluid Temperature in Deep Wells},
  journal = {Mathematical Modelling and Applications},
  volume = {1},
  number = {1},
  pages = {20-25},
  doi = {10.11648/j.mma.20160101.14},
  url = {https://doi.org/10.11648/j.mma.20160101.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20160101.14},
  abstract = {The objective of this study was to develop an improved method to predict fluid temperature profiles in high-temperature wells for designing production string in deep-water development. The method was developed on the basis of heat transfer involves heat convection and conduction inside the production string and in the annular space. The governing equations were solved using the method of characteristics, resulting in two simple closed-form equations. The method was coded in a spreadsheet for easy applications. Data from three wells were employed to check the accuracy of the new method. Comparisons of results from Hasan's method, Gilbertson et al.'s method, and the new method with temperature data measured in two gas-lift wells show that the new method best predicts well temperatures in trend. A comparison of results given by Mao's method and the new method with temperatures observed in a deep-water gas well testing indicates that the new method better predicts well temperatures with errors less than 4%. This work provides petroleum engineers a simple and accurate method for predicting temperature profiles in oil and gas production operations, especially deep-water operations. It eliminates the need for sophisticated analytical and numerical models in fluid temperature analysis.},
 year = {2016}
}

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TY  - JOUR
T1  - An Improved Model for Predicting Fluid Temperature in Deep Wells
AU  - Boyun Guo
AU  - Jinze Song
Y1  - 2016/10/21
PY  - 2016
N1  - https://doi.org/10.11648/j.mma.20160101.14
DO  - 10.11648/j.mma.20160101.14
T2  - Mathematical Modelling and Applications
JF  - Mathematical Modelling and Applications
JO  - Mathematical Modelling and Applications
SP  - 20
EP  - 25
PB  - Science Publishing Group
SN  - 2575-1794
UR  - https://doi.org/10.11648/j.mma.20160101.14
AB  - The objective of this study was to develop an improved method to predict fluid temperature profiles in high-temperature wells for designing production string in deep-water development. The method was developed on the basis of heat transfer involves heat convection and conduction inside the production string and in the annular space. The governing equations were solved using the method of characteristics, resulting in two simple closed-form equations. The method was coded in a spreadsheet for easy applications. Data from three wells were employed to check the accuracy of the new method. Comparisons of results from Hasan's method, Gilbertson et al.'s method, and the new method with temperature data measured in two gas-lift wells show that the new method best predicts well temperatures in trend. A comparison of results given by Mao's method and the new method with temperatures observed in a deep-water gas well testing indicates that the new method better predicts well temperatures with errors less than 4%. This work provides petroleum engineers a simple and accurate method for predicting temperature profiles in oil and gas production operations, especially deep-water operations. It eliminates the need for sophisticated analytical and numerical models in fluid temperature analysis.
VL  - 1
IS  - 1
ER  -

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Author Information

Boyun Guo

Petroleum Engineering Department, University of Louisiana at Lafayette, Louisiana, USA
Jinze Song

Petroleum Engineering Department, University of Louisiana at Lafayette, Louisiana, USA

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APA Style

Boyun Guo, Jinze Song. (2016). An Improved Model for Predicting Fluid Temperature in Deep Wells. Mathematical Modelling and Applications, 1(1), 20-25. https://doi.org/10.11648/j.mma.20160101.14

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ACS Style

Boyun Guo; Jinze Song. An Improved Model for Predicting Fluid Temperature in Deep Wells. Math. Model. Appl. 2016, 1(1), 20-25. doi: 10.11648/j.mma.20160101.14

Copy | Download

AMA Style

Boyun Guo, Jinze Song. An Improved Model for Predicting Fluid Temperature in Deep Wells. Math Model Appl. 2016;1(1):20-25. doi: 10.11648/j.mma.20160101.14

Copy | Download

@article{10.11648/j.mma.20160101.14,
  author = {Boyun Guo and Jinze Song},
  title = {An Improved Model for Predicting Fluid Temperature in Deep Wells},
  journal = {Mathematical Modelling and Applications},
  volume = {1},
  number = {1},
  pages = {20-25},
  doi = {10.11648/j.mma.20160101.14},
  url = {https://doi.org/10.11648/j.mma.20160101.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20160101.14},
  abstract = {The objective of this study was to develop an improved method to predict fluid temperature profiles in high-temperature wells for designing production string in deep-water development. The method was developed on the basis of heat transfer involves heat convection and conduction inside the production string and in the annular space. The governing equations were solved using the method of characteristics, resulting in two simple closed-form equations. The method was coded in a spreadsheet for easy applications. Data from three wells were employed to check the accuracy of the new method. Comparisons of results from Hasan's method, Gilbertson et al.'s method, and the new method with temperature data measured in two gas-lift wells show that the new method best predicts well temperatures in trend. A comparison of results given by Mao's method and the new method with temperatures observed in a deep-water gas well testing indicates that the new method better predicts well temperatures with errors less than 4%. This work provides petroleum engineers a simple and accurate method for predicting temperature profiles in oil and gas production operations, especially deep-water operations. It eliminates the need for sophisticated analytical and numerical models in fluid temperature analysis.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - An Improved Model for Predicting Fluid Temperature in Deep Wells
AU  - Boyun Guo
AU  - Jinze Song
Y1  - 2016/10/21
PY  - 2016
N1  - https://doi.org/10.11648/j.mma.20160101.14
DO  - 10.11648/j.mma.20160101.14
T2  - Mathematical Modelling and Applications
JF  - Mathematical Modelling and Applications
JO  - Mathematical Modelling and Applications
SP  - 20
EP  - 25
PB  - Science Publishing Group
SN  - 2575-1794
UR  - https://doi.org/10.11648/j.mma.20160101.14
AB  - The objective of this study was to develop an improved method to predict fluid temperature profiles in high-temperature wells for designing production string in deep-water development. The method was developed on the basis of heat transfer involves heat convection and conduction inside the production string and in the annular space. The governing equations were solved using the method of characteristics, resulting in two simple closed-form equations. The method was coded in a spreadsheet for easy applications. Data from three wells were employed to check the accuracy of the new method. Comparisons of results from Hasan's method, Gilbertson et al.'s method, and the new method with temperature data measured in two gas-lift wells show that the new method best predicts well temperatures in trend. A comparison of results given by Mao's method and the new method with temperatures observed in a deep-water gas well testing indicates that the new method better predicts well temperatures with errors less than 4%. This work provides petroleum engineers a simple and accurate method for predicting temperature profiles in oil and gas production operations, especially deep-water operations. It eliminates the need for sophisticated analytical and numerical models in fluid temperature analysis.
VL  - 1
IS  - 1
ER  -

Copy | Download