Application of various methods for 2D inverse modeling of residual gravity anomalies |
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| Authors: | Maysam Abedi Ahmad Afshar Vahid E Ardestani Gholam H Norouzi Caro Lucas |
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| Institution: | (1) Atomic Energy Commission, P. O. Box 6091, Damascus, Syria |
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| Abstract: | 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. |
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