利用岩心和测井资料计算热导系数
Thermal Conductivity from Core and Well log Data
摘要：
本文分析了在第三系复理石层序中钻孔的热导系数与其它岩石物理性质之间的关系。我们建立的方程，使我们能够预测岩石的热导系数从测井数据。对热导系数、体积密度和声速进行回归分析，得到平均精度优于0.2 W/（m K）的热导系数。第二步，测井数据用于计算岩性深度剖面，岩性深度剖面又用于计算热导系数剖面。从电导率-深度剖面和实验室数据的比较可以得出结论，热导系数可以计算的精度小于0.3 W/（m K）从传统的电缆数据。两种模型的比较表明，即使在使用旧的、不完整的测井资料的情况下，该方法也是可行的。结果可用于推断热导系数钻孔没有适当的核心数据，钻在类似的地质环境。
英文摘要：
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 0.2 W/(m K). As a second step, logging data is 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 0.3 W/(m K)from conventional wireline data. The comparison of two different models shows that this approach can be practical even if old and incomplete logging data is used. The results can be used to infer thermal conductivity for boreholes without appropriate core data that are drilled in a similar geological setting.
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