MAGCPD: a MATLAB-based GUI to calculate the Curie point-depth involving the spectral analysis of aeromagnetic data
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SOFTWARE ARTICLE
MAGCPD: a MATLAB-based GUI to calculate the Curie point-depth involving the spectral analysis of aeromagnetic data Juan Luis Carrillo-de la Cruz 1,2
&
Rosa María Prol-Ledesma 2 & Pablo Velázquez-Sánchez 3 & Darío Gómez-Rodríguez 3
Received: 20 June 2020 / Accepted: 4 September 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract 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. Keywords Magnetic data . Curie point depth . Heat flow . GUI-interface
Introduction The study of the crustal thermal structure has essential implications in geology and tectonics due to their applications in renewable energies exploration and hydrocarbon maturity history. Some indirect estimators of the geothermal gradient and heat flow are necessary because of the lack of direct temperature measurements. One of the most commonly used estimators of temperature at depth is the Curie point-depth (CPD) that frequently marks the depth where rocks lose their
Communicated by: H. Babaie * Juan Luis Carrillo-de la Cruz [email protected] 1
Posgrado en Ciencias de la Tierra, Instituto de Geofísica, Universidad Nacional Autónoma de México, Circuito interior s/n, Coyoacán, 04510 Ciudad de México, Mexico
2
Instituto de Geofísica, Universidad Nacional Autónoma de México, Circuito interior s/n, Coyoacán, 04510 Ciudad de México, Mexico
3
División Académica de Ciencias Básicas, Universidad Juárez Autónoma de Tabasco, Carretera Cunduacán-Jalpa km. 1, 86690 Villahermosa, Tabasco, Mexico
magnetic properties as a result of temperature increase; this depth is associated with the depth to the bottom of the magnetic source (DBMS), that is is computed by the spectral analysis of magnetic data obtained from airborne or satellite surveys. Different methodologies to calculate the DBMS by the analysis of the radially averaged amplitude spect
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