Numerical 3D parametric models of temperature and thermal gradient distribution within the Polish Carpathians and the Carpathian Foredeep are constructed for the interval between ground level and the 160°C isotherm. The model construction was preceded by detailed analysis of over 500 thermal logs from the area investigated and its closest vicinity. This analysis showed that the vertical changes in temperature and thermal gradient have a non-linear character with no regular pattern in the distribution of the parameters modelled, so a 3D modeling approach was chosen as the most appropriate method for their quantitative description. Furthermore, standardization of the thermal logs was recognized as mandatory so the influence of drilling process would be eliminated. Among a broad array of methods and their preconditions discussed, the Kukkonen-Szewczyk method was selected for the data collected in the study area. Modeling results show a close relationship between thermal gradient, lithology and petrophysical rock properties as well as a correlation between the distribution of positive thermal anomalies and yield of hydrocarbon accumulations within the Carpathian Foredeep. The accuracy of the model has been assessed as ~10%. The model was then used for discussion of hydrocarbon generation and prediction of formation temperature.

波兰喀尔巴阡山脉和喀尔巴阡山脉前渊内温度和热梯度分布的数值 3D 参数模型是针对地平面和 160°C 等温线之间的间隔构建的。在模型构建之前，对来自调查区域及其最近附近的 500 多条热记录进行了详细分析。该分析表明，温度和热梯度的垂直变化具有非线性特征，建模参数的分布没有规律性，因此选择 3D 建模方法作为对其进行定量描述的最合适方法。此外，热记录的标准化被认为是强制性的，因此可以消除钻井过程的影响。在讨论的各种方法及其先决条件中，研究区收集的数据选择了 Kukkonen-Szewczyk 方法。建模结果表明，热梯度、岩性和岩石物理性质之间存在密切关系，以及正热异常分布与喀尔巴阡前渊内油气聚集产量之间的相关性。该模型的准确度被评估为~10%。然后将该模型用于讨论油气生成和地层温度预测。该模型的准确度被评估为~10%。然后将该模型用于讨论油气生成和地层温度预测。该模型的准确度被评估为~10%。然后将该模型用于讨论油气生成和地层温度预测。