Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization

A very fast simulated annealing (VFSA) global optimization is used to interpret residual gravity anomaly. Since, VFSA optimization yields a large number of best-fitted models in a vast model space; the nature of uncertainty in the interpretation is also examined simultaneously in the present study....

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Main Author: Arkoprovo Biswas
Format: Article
Language:English
Published: Elsevier 2015-11-01
Series:Geoscience Frontiers
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987115000389
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spelling doaj-30c6395c02054b12b3fed873cf6c06e12020-11-25T00:39:13ZengElsevierGeoscience Frontiers1674-98712015-11-016687589310.1016/j.gsf.2015.03.001Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimizationArkoprovo BiswasA very fast simulated annealing (VFSA) global optimization is used to interpret residual gravity anomaly. Since, VFSA optimization yields a large number of best-fitted models in a vast model space; the nature of uncertainty in the interpretation is also examined simultaneously in the present study. The results of VFSA optimization reveal that various parameters show a number of equivalent solutions when shape of the target body is not known and shape factor ‘q’ is also optimized together with other model parameters. The study reveals that amplitude coefficient k is strongly dependent on shape factor. This shows that there is a multi-model type uncertainty between these two model parameters derived from the analysis of cross-plots. However, the appraised values of shape factor from various VFSA runs clearly indicate whether the subsurface structure is sphere, horizontal or vertical cylinder type structure. Accordingly, the exact shape factor (1.5 for sphere, 1.0 for horizontal cylinder and 0.5 for vertical cylinder) is fixed and optimization process is repeated. After fixing the shape factor, analysis of uncertainty and cross-plots shows a well-defined uni-model characteristic. The mean model computed after fixing the shape factor gives the utmost consistent results. Inversion of noise-free and noisy synthetic data as well as field data demonstrates the efficacy of the approach.http://www.sciencedirect.com/science/article/pii/S1674987115000389Gravity anomalyIdealized bodyUncertaintyVFSASubsurface structureOre exploration
collection DOAJ
language English
format Article
sources DOAJ
author Arkoprovo Biswas
spellingShingle Arkoprovo Biswas
Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization
Geoscience Frontiers
Gravity anomaly
Idealized body
Uncertainty
VFSA
Subsurface structure
Ore exploration
author_facet Arkoprovo Biswas
author_sort Arkoprovo Biswas
title Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization
title_short Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization
title_full Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization
title_fullStr Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization
title_full_unstemmed Interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization
title_sort interpretation of residual gravity anomaly caused by simple shaped bodies using very fast simulated annealing global optimization
publisher Elsevier
series Geoscience Frontiers
issn 1674-9871
publishDate 2015-11-01
description A very fast simulated annealing (VFSA) global optimization is used to interpret residual gravity anomaly. Since, VFSA optimization yields a large number of best-fitted models in a vast model space; the nature of uncertainty in the interpretation is also examined simultaneously in the present study. The results of VFSA optimization reveal that various parameters show a number of equivalent solutions when shape of the target body is not known and shape factor ‘q’ is also optimized together with other model parameters. The study reveals that amplitude coefficient k is strongly dependent on shape factor. This shows that there is a multi-model type uncertainty between these two model parameters derived from the analysis of cross-plots. However, the appraised values of shape factor from various VFSA runs clearly indicate whether the subsurface structure is sphere, horizontal or vertical cylinder type structure. Accordingly, the exact shape factor (1.5 for sphere, 1.0 for horizontal cylinder and 0.5 for vertical cylinder) is fixed and optimization process is repeated. After fixing the shape factor, analysis of uncertainty and cross-plots shows a well-defined uni-model characteristic. The mean model computed after fixing the shape factor gives the utmost consistent results. Inversion of noise-free and noisy synthetic data as well as field data demonstrates the efficacy of the approach.
topic Gravity anomaly
Idealized body
Uncertainty
VFSA
Subsurface structure
Ore exploration
url http://www.sciencedirect.com/science/article/pii/S1674987115000389
work_keys_str_mv AT arkoprovobiswas interpretationofresidualgravityanomalycausedbysimpleshapedbodiesusingveryfastsimulatedannealingglobaloptimization
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