Skip to main content

Advertisement

Log in

MAGCPD: a MATLAB-based GUI to calculate the Curie point-depth involving the spectral analysis of aeromagnetic data

  • Software Article
  • Published:
Earth Science Informatics Aims and scope Submit manuscript

A Correction to this article was published on 31 October 2020

This article has been updated

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Change history

  • 31 October 2020

    The authors of the above published paper were notified by one of the authors referenced in their paper

References

Download references

Acknowledgments

This work was supported by Fondo de Sustentabilidad Energética SENER-CONACyT CeMIE-Geo under Grant-Project P-01: Mapas de Gradiente Geotérmico y Flujo de Calor para la República Mexicana” and to CONACyT for the PhD scholarship to the main author. QGIS software was used in the map creation. We wish to thank to Diana Nuñez and two anonymous reviewers for providing positive comments to improve the manuscript.

Code access

The programs can be downloaded from https://github.com/juanxo90/MAGCPD.

Author information

Authors and Affiliations

Authors

Contributions

Juan Luis Carrillo-de la Cruz contributed to stablish the basis of the codes and the application of the methodology. Also, he conceived parts of the code, developed the GIS analysis with the temperature data and wrote the manuscript.

Rosa María Prol-Ledesma contributed to manuscript writing and project scientific development.

Pablo Velázquez-Sánchez contributed to the algorithm development and the GUI interface.

Darío Gómez-Rodríguez contributed to the development of algorithm.

Corresponding author

Correspondence to Juan Luis Carrillo-de la Cruz.

Additional information

Communicated by: H. Babaie

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original online version of this article was revised: The authors of the above published paper were notified by one of the authors referenced in their paper (Martos et al. 2019), that due to the use of an old version of the paper (now the equation is corrected by the journal), there was an inaccuracies in equation and suggested changing it to a corrected form. The equation number 8 has been corrected.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Carrillo-de la Cruz, J.L., Prol-Ledesma, R.M., Velázquez-Sánchez, P. et al. MAGCPD: a MATLAB-based GUI to calculate the Curie point-depth involving the spectral analysis of aeromagnetic data. Earth Sci Inform 13, 1539–1550 (2020). https://doi.org/10.1007/s12145-020-00525-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12145-020-00525-x

Keywords

Navigation