Latest Research on Aeromagnetic Data: March – 2020

STATISTICAL MODELS FOR INTERPRETING AEROMAGNETIC DATA

A mathematical basis for the application of power spectrum analysis to aeromagnetic map interpretation is developed. An ensemble of blocks of varying depth, width, thickness, and magnetization is considered as a statistical model.  [1]

Simple Micro-Levelling for Aeromagnetic Data

A simple technique is described for removing residual levelling errors from aeromagnetic data. These residual errors have a distinct spectral signature and are easily removed from a grid of the data using existing directional grid-filtering methods. The filtered grid is then used to correct the located data. The method can not distinguish between levelling errors and real elongate anomalies parallel to the flight-line direction. It should therefore be used selectively. [2]

Curie temperature isotherm analysis and tectonic implications of aeromagnetic data from Nevada

Estimates of the depth to the Curie temperature isotherm in Nevada are in accordance with other regional geologic and geophysical information and together can be explained in the context of present‐day tectonism. A method to estimate the depth extent of magnetic sources from the statistical properties of magnetic anomalies was applied to a statewide compilation of aeromagnetic data from Nevada. [3]

Investigations into the Tectonic Faults on Magadi Geothermal Field Using Ground and Aeromagnetic Data

Lake Magadi area of the Kenya Rift is characterized by faulting, tectonic activities and geothermal resources. The geothermal potential of the graben in the southern part of the lake was investigated using magnetic methods (ground and airborne). [4]

Analytic Signal Method (Hilbert Solution) for the Investigation of Iron-Ore Deposit Using Aeromagnetic Data of Akunnu-Akoko Area, Southwest, Nigeria

Investigation of iron ore deposit cannot be overlooked because of its economic importance and demand by steel industries. Hence, this paper aimed at providing clear information about the existence of iron ore deposit in Akunnu-Akoko area. [5]

Reference

[1] Spector, A. and Grant, F.S., 1970. Statistical models for interpreting aeromagnetic data. Geophysics35(2), pp.293-302.

[2] Minty, B.R.S., 1991. Simple micro-levelling for aeromagnetic data. Exploration Geophysics22(4), pp.591-592.

[3] Blakely, R.J., 1988. Curie temperature isotherm analysis and tectonic implications of aeromagnetic data from Nevada. Journal of Geophysical Research: Solid Earth93(B10), pp.11817-11832.

[4] A. Komolafe, A., N. Kuria, Z., Woldai, T., Noomen, M. and Y. B. Anifowose, A. (2013) “Investigations into the Tectonic Faults on Magadi Geothermal Field Using Ground and Aeromagnetic Data”, Physical Science International Journal, 3(4), pp. 385-406. Available at: http://www.journalpsij.com/index.php/PSIJ/article/view/23080 (Accessed: 7March2020).

[5] Joshua, E. O., Layade, G. O. and Adewuyi, S. O. (2018) “Analytic Signal Method (Hilbert Solution) for the Investigation of Iron-Ore Deposit Using Aeromagnetic Data of Akunnu-Akoko Area, Southwest, Nigeria”, Physical Science International Journal, 17(2), pp. 1-9. doi: 10.9734/PSIJ/2018/39004.

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