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- W2788573522 abstract "Gravity data interpretation is useful in exploring regions that have different geological structures, which contain minerals, ores and oil deposits. There are different numerical methods for the model parameters (depth (z), origin location (xo), shape parameter (q) and amplitude coefficient (A)) evaluation of a covered structure such as gradient method, particle swarm optimization technique and Werner deconvolution method. In this study, application of these methods is utilized to appraise the model parametric quantity of the covered structures. The application of these methods was demonstrated by different engineered data without and with various range of noise (5%, 10%) and applied for a real example from Egypt. The result values of each method were compared together and with those published and drilling information." @default.
- W2788573522 created "2018-03-06" @default.
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- W2788573522 date "2018-02-21" @default.
- W2788573522 modified "2023-10-03" @default.
- W2788573522 title "Gravity Data Interpretation Using Different New Algorithms: A Comparative Study" @default.
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- W2788573522 doi "https://doi.org/10.5772/intechopen.71086" @default.
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