Application of various methods for 2D inverse modeling of residual gravity anomalies

• Autorzy: Abedi M. , Afshar A. , Ardestani V.E. , Narouzi G. , Lucas C.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a neural network approach to determine 2D inverse modeling of a buried structure from gravity anomaly profile. The results of the applied neural network method are compared with the results of two other methods, least-squares minimization and the simple method. Sphere, horizontal cylinder and vertical cylinder and their gravity effects are considered as the synthetic models and the synthetic data, respectively. The synthetic data are also corrupted with noise to evaluate the capability of the methods. Then the Dehloran bitumen map in Iran is chosen as a real data application. Anomaly value of the cross-section, which is taken from the gravity anomaly map of Dehloran bitumen, is very close to those obtained from these methods.

Słowa kluczowe

EN

residual gravity anomaly; synthetic models; neural network method

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2010
• Tom: Vol. 58, no. 2
• Strony: 317--336
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Abedi M.

autor

Afshar A.

autor

Ardestani V.E.

autor

Narouzi G.

autor

Lucas C.

• Faculty of Mining Engineering, University of Tehran, Iran,

Bibliografia

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