Amplitude inversion of the 2D analytic signal of magnetic anomalies through the differential evolution algorithm

In this work, analytic signal amplitude (ASA) inversion of total field magnetic anomalies has been achieved by differential evolution (DE) which is a population-based evolutionary metaheuristic algorithm. Using an elitist strategy, the applicability and effectiveness of the proposed inversion algori...

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Veröffentlicht in:Journal of geophysics and engineering Jg. 14; H. 6; S. 1492 - 1508
Hauptverfasser: Ekinci, Yunus Levent, Özyalın, Şenol, Sındırgı, Petek, Balkaya, Çağlayan, Göktürkler, Gökhan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Oxford University Press 01.12.2017
Schlagworte:
Algorithms
Geological structures
Geophysics
Turkey
differential evolution
Euler deconvolution
optimization
2D analytic signal amplitude
parameter tuning
normalized full gradient
magnetic anomalies
ISSN:1742-2132, 1742-2140
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Zusammenfassung:In this work, analytic signal amplitude (ASA) inversion of total field magnetic anomalies has been achieved by differential evolution (DE) which is a population-based evolutionary metaheuristic algorithm. Using an elitist strategy, the applicability and effectiveness of the proposed inversion algorithm have been evaluated through the anomalies due to both hypothetical model bodies and real isolated geological structures. Some parameter tuning studies relying mainly on choosing the optimum control parameters of the algorithm have also been performed to enhance the performance of the proposed metaheuristic. Since ASAs of magnetic anomalies are independent of both ambient field direction and the direction of magnetization of the causative sources in a two-dimensional (2D) case, inversions of synthetic noise-free and noisy single model anomalies have produced satisfactory solutions showing the practical applicability of the algorithm. Moreover, hypothetical studies using multiple model bodies have clearly showed that the DE algorithm is able to cope with complicated anomalies and some interferences from neighbouring sources. The proposed algorithm has then been used to invert small- (120 m) and large-scale (40 km) magnetic profile anomalies of an iron deposit (Kesikköprü-Bala, Turkey) and a deep-seated magnetized structure (Sea of Marmara, Turkey), respectively to determine depths, geometries and exact origins of the source bodies. Inversion studies have yielded geologically reasonable solutions which are also in good accordance with the results of normalized full gradient and Euler deconvolution techniques. Thus, we propose the use of DE not only for the amplitude inversion of 2D analytical signals of magnetic profile anomalies having induced or remanent magnetization effects but also the low-dimensional data inversions in geophysics.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:1742-2132
1742-2140
DOI:10.1088/1742-2140/aa7ffc