Published February 2012 | Version v1
Journal article

Estimation of geological formation thermal conductivity by using stochastic approximation method based on well-log temperature data

  • 1. Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, Anhui 230027 (China)

Description

Thermal conductivity is a key parameter for evaluating wellbore heat losses which plays an important role in determining the efficiency of steam injection processes. In this study, an unsteady formation heat-transfer model was established and a cost-effective in situ method by using stochastic approximation method based on well-log temperature data was presented. The proposed method was able to estimate the thermal conductivity and the volumetric heat capacity of geological formation simultaneously under the in situ conditions. The feasibility of the present method was assessed by a sample test, the results of which shown that the thermal conductivity and the volumetric heat capacity could be obtained with the relative errors of −0.21% and −0.32%, respectively. In addition, three field tests were conducted based on the easily obtainable well-log temperature data from the steam injection wells. It was found that the relative errors of thermal conductivity for the three field tests were within ±0.6%, demonstrating the excellent performance of the proposed method for calculating thermal conductivity. The relative errors of volumetric heat capacity ranged from −6.1% to −14.2% for the three field tests. Sensitivity analysis indicated that this was due to the low correlation between the volumetric heat capacity and the wellbore temperature, which was used to generate the judgment criterion. -- Highlights: ► A cost-effective in situ method for estimating thermal properties of formation was presented. ► Thermal conductivity and volumetric heat capacity can be estimated simultaneously by the proposed method. ► The relative error of thermal conductivity estimated was within ±0.6%. ► Sensitivity analysis was conducted to study the estimated results of thermal properties.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2011.12.047

Additional details

Identifiers

DOI
10.1016/j.energy.2011.12.047;
PII
S0360-5442(12)00002-3;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
38
Journal Issue
1
Journal Page Range
p. 21-30
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.