Thermal conductivity from core and well log data
Thermal conductivity from core and well log data
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DOI：
10.1016/j.ijrmms.2005.05.015
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发表时间：
2005-10
影响因子：
7.2
通讯作者：
A. Hartmann;V. Rath;C. Clauser
中科院分区：
文献类型：
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作者：
A. Hartmann;V. Rath;C. Clauser
以第三系复理石层序为例，分析了热导率与其他岩石物性之间的关系。我们建立了方程，使我们能够根据测井数据预测岩石导热系数。对导热系数、体积密度和声速进行回归分析，得到导热系数的平均精度优于0.2W(mK)-1。第二步，测井数据用于计算岩性深度剖面，然后用于计算导热系数剖面。通过对电导率-深度剖面和实验室数据的比较，可以得出结论，利用常规电缆数据计算导热系数的精度小于0.3W(mK)-1。两种不同模型的对比表明，即使使用的是旧的、不完整的测井数据，该方法也是可行的。该结果可用于推断在类似地质环境中钻探的没有适当岩心数据的井的导热系数。
The relationships between thermal conductivity and other petrophysical properties have been analysed for a borehole drilled in a Tertiary Flysch sequence. We establish equations that permit us to predict rock thermal conductivity from logging data. A regression analysis of thermal conductivity, bulk density, and sonic velocity yields thermal conductivity with an average accuracy of better than 0.2W(mK)-1. As a second step, logging data are used to compute a lithological depth profile, which in turn is used to calculate a thermal conductivity profile. From a comparison of the conductivity–depth profile and the laboratory data, it can be concluded that thermal conductivity can be computed with an accuracy of less than 0.3W(mK)-1from conventional wireline data. The comparison of two different models shows that this approach can be practical even if old and incomplete logging data are used. The results can be used to infer thermal conductivity for boreholes without appropriate core data that are drilled in a similar geological setting.