Gravity data interpretation using different new algorithms: A comparative study

KS Essa, M Elhussein - Gravity-geoscience applications …, 2018 - books.google.com
Gravity-geoscience applications, industrial technology and quantum …, 2018books.google.com
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 and amplitude the model coefficient parameters (depth (z), origin location (A))
evaluation of a covered structure (x such o), shape as gradient parameter method,(q)
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 …
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 and amplitude the model coefficient parameters (depth (z), origin location (A)) evaluation of a covered structure (x such o), shape as gradient parameter method,(q) 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.
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