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Research on the characteristics of total-field data converted from aeromagnetic vertical gradient data based on a continuation conversion filtering algorithm

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Abstract

Compared with aeromagnetic total-field data, aeromagnetic vertical gradient field data contain less low-frequency information. In this paper, a continuation conversion filtering algorithm is proposed to filter out part of the low-frequency information of the aeromagnetic total-field data so that these data can be better compared with the total-field data obtained from aeromagnetic gradient data conversion. We discuss the feasibility of single aeromagnetic vertical gradient measurement in areas where it is inconvenient to erect base stations. We design a simple model and a complex model with a background field and random noise to analyze the conversion effect. The model analysis shows that the effect of applying the algorithm depends heavily on the selection of upward continuation height. The magnetization intensity of the background field also affects the selection of continuation height. When the magnetization intensity of the background field is weak, the continuation height chosen is the same as the buried depth of the background field. If the magnetization intensity of the background field is strong, then the higher the continuation height, the better the effect will be. The conclusion of the model analysis is applied to the analysis of the measured aeromagnetic data. In addition, we can conclude that the effect on total-field data of conversion by the continuation conversion filtering algorithm is better than that of conversion from the aeromagnetic vertical gradient data.

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References

  • Bournas N, Galdeano A, Hamoudi M, et al. 2003. Interpretation of the aeromagnetic map of Eastern Hoggar (Algeria) using the Euler deconvolution, analytic signal and local wavenumber methods. Journal of African Earth Sciences, 37(3):191–205.

    Article  Google Scholar 

  • Cowan D R, Baigent M, Cowan S, et al. 1995. Aeromagnetic gradiometers — a perspective. Exploration Geophysics, 1995, 26(3):241–246.

    Article  Google Scholar 

  • Durrheim R J, Cooper G R J. 1998. EULDEP: a program for the Euler deconvolution of magnetic and gravity data. Computer and Geosciences, 24(6):545–550.

    Article  CAS  Google Scholar 

  • Gun P J. 1975. Linear transformation of gravity and magnetic fields. Geophysical Prospecting, 23:300–312.

    Article  Google Scholar 

  • Hanson R O, Miyazaki Y. 1984. Continuation of potential fields between arbitrary surfaces. Geophysics, 49(6):787–795.

    Article  Google Scholar 

  • Li L, Guo H, Wang P, et al. 2016. Research on RTP aeromagnetic gradient data and its applicability in different latitudes. Applied Geophysics, 2016 13 (1): 48–58.

    Article  Google Scholar 

  • Mushayandebvu M F, Davies J. 2006. Magnetic gradients in sedimentary basins: Examples from the Western Canada Sedimentary Basin. The Leading Edge, 1:69–73.

    Article  Google Scholar 

  • Nabighian M N. 1984. Toward a three-dimensional automatic interpretation of potential data via generalized Hilbert transforms: fundamental relations. Geophysics, 49(6):780–786.

    Article  Google Scholar 

  • Nelson J B. 1988. Calculation of the magnetic gradient tensor from total field gradient measurements and its application to geophysical interpretation. Geophysics, 53(7):957–966.

    Article  Google Scholar 

  • Paine J W. 1986. A comparison of methods for approximating the vertical gradient of one-dimensional magnetic field data. Geophysics, 51(9):1725–1735.

    Article  Google Scholar 

  • Pašteka R, Richter F P, Karcol R, et al. 2008. Regularized derivatives of potential fields and their role in semi-automated interpretation methods. Geophysical Prospecting, 57(4):507–516.

    Article  Google Scholar 

  • Paterson N R, Reevesj C V. 1985. Applications of gravity and magnetic surveys: The state-of-the-art in 1985. Geophysics, 50(12):2558–2594.

    Article  Google Scholar 

  • Salem A, Ravat A. 2003. A combined analyticsignal and Euler method (AN-EUL) for automatic interpretation of magnetic data. Geophysics, 68(6): 1952–1961.

    Article  Google Scholar 

  • Skeels D C, Watson R J. 1949. Derivation of magnetic and gravitational quantities by surface integration. Geophysics, 14:133–150.

    Article  Google Scholar 

  • Wang B Z, Krebes E S, Ravat D. 2008. High-precision potential-field and gradient-component transformations and derivative computations using cubic B-splines. Geophysics, 73(5):135–142.

    Article  Google Scholar 

Download references

Acknowledge

We thank the China Aero Geophysical survey and Remote Sensing Center for Natural Resources (AGRS) for providing the aeromagnetic data and infrastructure for this research. Data processing is supported by the Oasis Montaj software (Geosoft). Two anonymous reviewers are also thanked for providing critical and thoughtful comments that have been fully considered in the revision. This research is funded by National Key Research and Development Program (2017YFC0602000) and China Postdoctoral Science Foundation (Grant NO. 2019M652062).

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Correspondence to Xi Xu or Song Han.

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This work was supported by National Key Research and Development Program (2017YFC0602000) and China Postdoctoral Science Foundation (2019M652062).

Guo Hua graduated from College of GeoExploration Science and technology of Jilin University in 2007 and obtained master’s degree. Graduated from China University of Geosciences Beijing in 2016 and received his Ph.D. degree. He is a professorate senior engineer in AGRS of China Geological Survey. His research interests are aeromagnetic exploration and potential field data procession and interpretation.

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Guo, H., Xu, X., Han, S. et al. Research on the characteristics of total-field data converted from aeromagnetic vertical gradient data based on a continuation conversion filtering algorithm. Appl. Geophys. 21, 157–168 (2024). https://doi.org/10.1007/s11770-021-0889-z

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  • DOI: https://doi.org/10.1007/s11770-021-0889-z

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