The Curie point-depth, frequently related to the depth to the bottom of the magnetic source, is widely employed as an estimator of temperature at depth when borehole temperature data are not available. The Curie point-depth is calculated using the spectral analysis of the magnetic data derived from aeromagnetic or satellite surveys. In this paper, MATLAB user-friendly GUI are constructed to calculate the Curie Point Depth using the inversion of aeromagnetic data assuming 2D fractal magnetization and modeling the temperature at depth assuming a 1D steady-state conductive heat transfer model. The program, tested in synthetic and aeromagnetic data, is running under MATLAB 2020a or standalone application with these input parameters: Aeromagnetic data, fractal parameter, Curie temperature, surface temperature, thermal conductivity, surface radiogenic heat production and scaling length of surface radiogenic heat production. The radially averaged amplitude spectrum, scaled spectrum, modeled spectrum, Curie point-depth, and temperature profile at depth are the output parameters of the program. Finally, the program is tested with Texas aeromagnetic data, and the results of the Curie point-depth were compared with borehole data.

当没有井眼温度数据时，居里点深度通常与到磁源底部的深度有关，被广泛用作深度处的温度估算器。居里点深度是使用对从航空磁测或卫星测绘得出的磁数据进行的频谱分析计算得出的。在本文中，构造了MATLAB用户友好的GUI，以使用航空磁数据的反演（假设2D分形磁化）并使用1D稳态传导热传递模型对深度温度建模来计算居里点深度。该程序已在合成和航空数据中进行了测试，可在MATLAB 2020a或独立应用程序下运行，并具有以下输入参数：航空数据，分形参数，居里温度，表面温度，导热系数，地表放射性产生的热量和地表放射性产生的结垢长度。程序的输出参数是径向平均幅度谱，比例谱，建模谱，居里点深度和深度温度曲线。最后，使用德克萨斯州的航空数据对程序进行了测试，并将居里点深度的结果与井眼数据进行了比较。