Precise knowledge of the subsurface thermal field plays a key role in the assessment of geothermal targets. Unfortunately, deep underground temperature data is generally scarce and a matter of research. To achieve first estimates for subsurface temperatures, steady-state conductive thermal modeling is commonly applied. Thereby the rock thermal conductivity is an essential parameter, which is usually determined under ambient laboratory conditions. To arrive with in situ thermal conductivity, the ambient values need to be corrected for in situ temperature and pressure. In this paper, we apply different conversion functions for the correction of thermal conductivity and study the impact on the resultant temperature and heat flow prognoses for a synthetic, upper crustal sedimentary and a magmatic scenario along 2-D geological cross sections. Application of the correction functions results in maximum temperature prognosis uncertainties of about 8 °C and 55 °C at 2 km depth and at 8 km depth, respectively. The effect positively correlates with the magnitude of the basal heat flow used in modeling. In contrast to the heat flow determined at depth, the resulting surface heat flow is only minor affected by the different correction functions applied. In addition, the modeled temperature at depth is strongly dependent on the type and sequence of application of the pressure and temperature correction equations.

中文翻译：

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应用于岩石导热系数的温度和压力校正：对地热勘探中地下温度预测和热流确定的影响

地下热场的精确知识在评估地热目标中起着关键作用。不幸的是，地下的深层温度数据通常是稀缺且需要研究。为了获得地下温度的初步估计，通常采用稳态传导热模型。因此，岩石的热导率是必不可少的参数，通常在环境实验室条件下确定。为了获得原位导热系数，需要针对原位温度和压力校正环境值。在本文中，我们将不同的转换函数应用于热导率校正，并研究沿二维地质剖面的合成，上地壳沉积和岩浆情景对合成温度和热流预测的影响。校正函数的应用导致在2 km深度和8 km深度分别有大约8°C和55°C的最大温度预测不确定性。该效果与建模中使用的基础热流的大小呈正相关。与在深处确定的热流相反，所得的表面热流仅受所应用的不同校正函数的影响很小。另外，在深处建模的温度在很大程度上取决于压力和温度校正方程的类型和应用顺序。与在深处确定的热流相反，所得的表面热流仅受所应用的不同校正函数的影响很小。另外，在深处建模的温度在很大程度上取决于压力和温度校正方程的类型和应用顺序。与在深处确定的热流相反，所得的表面热流仅受所应用的不同校正函数的影响很小。另外，在深处建模的温度在很大程度上取决于压力和温度校正方程的类型和应用顺序。