Predicting Initial Formation Temperature for Deep Well Engineering with a New Method

Fuzong Zhou; Yucheng Xiong; Ming Tian

doi:10.1007/s12583-015-0512-4

Volume 26 Issue 1

Feb 2015

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Journal of Earth Science > 2015 > 26(1): 108-115.

Fuzong Zhou, Yucheng Xiong, Ming Tian. Predicting Initial Formation Temperature for Deep Well Engineering with a New Method. Journal of Earth Science, 2015, 26(1): 108-115. doi: 10.1007/s12583-015-0512-4

Citation:

Fuzong Zhou, Yucheng Xiong, Ming Tian. Predicting Initial Formation Temperature for Deep Well Engineering with a New Method. Journal of Earth Science, 2015, 26(1): 108-115. doi: 10.1007/s12583-015-0512-4

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Predicting Initial Formation Temperature for Deep Well Engineering with a New Method

doi: 10.1007/s12583-015-0512-4

1.
Department of Economics and Management, Tongren University, Tongren 554300, China
2.
Geotechnical Survey Department, China Petroleum Engineering Co. LTD. Beijing Company, Beijing 100083, China
3.
Technology Department, Zhongdi North China (Beijing) Technological Engineering Co. LTD., Beijing 100192, China

More Information

Corresponding author: Fuzong Zhou, zhoufuzong@googlemail.com
Received Date: 21 Mar 2014
Accepted Date: 17 Oct 2014
Publish Date: 01 Jan 2015

Abstract

Abstract

With the progress of science and technology, human beings explore the energy underground with thousands of meters. As a thermophysical parameter, initial formation temperature (IFT) plays an essential role in deep well engineering. However, it is not easy to predict the IFT accurately before drilling. This work uses a new method to analyze the effect factors of the underground temperature field, and assumes an artificial surface to eliminate the disturbance of the human errors and equipment errors on the surface temperature and thermal conductivity. Considering different distributions of the formation thermal conductivity and the rock radiogenic heat production, an optimized model was established. With this model, the paper predicted the bottom temperature of the main hole of the Chinese Continental Scientific Drilling (CCSD) as 132.80 ℃ at 4 725 m depth with 0.5% error. When the thermal conduction is dominant in the formation, this simple method can predict the IFT distribution effectively for deep well in the exploration stage. However, it is almost impossible to avoid aquifers in the formation of drilling deep well, an existing drillhole including groundwater is needed to predict for testing the model's accuracy.
- initial formation temperature,
- deep well,
- thermal conductivity,
- radiogenic heat production

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References(31)

References

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