Joint modeling of potential-field data and geodynamic interpretation for northeast Algeria
نویسندگان
چکیده
منابع مشابه
An Algorithm for Modeling and Interpretation of Seismoelectric Data
Generally speaking, seismoelectric modeling is a prospecting method based on seismic and electromagnetic waves, in which waves generated by a seismic source at the boundary of the two environments generate a relative fluid-solid motion formed as a result of antagonism between the elastic properties of the environment with the saturated fluid. This research has as its objective, a study of the e...
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We have applied an automatic interpretation method of potential data called AN-EUL in unexploded ordnance (UXO) prospective which is indeed a combination of the analytic signal and the Euler deconvolution approaches. The method can be applied for both magnetic and gravity data as well for gradient surveys based upon the concept of the structural index (SI) of a potential anomaly which is relate...
متن کاملterracing in interpretation of the potential field data
terracing is an operator that is applied to potential field data to produce regions of constant field amplitude that are separated by sharp boundaries. magnetic data are usually transformed into pseudo-gravity data (baranov, 1957) prior to the application of terracing. the objective of terracing is ‘to recast potential field maps into a geologic map like format’ (cordell and mccafferty 1989). t...
متن کاملan-eul method for automatic interpretation of potential field data in unexploded ordnances (uxo) detection
we have applied an automatic interpretation method of potential data called an-eul in unexploded ordnance (uxo) prospective which is indeed a combination of the analytic signal and the euler deconvolution approaches. the method can be applied for both magnetic and gravity data as well for gradient surveys based upon the concept of the structural index (si) of a potential anomaly which is relate...
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ژورنال
عنوان ژورنال: Journal of African Earth Sciences
سال: 2019
ISSN: 1464-343X
DOI: 10.1016/j.jafrearsci.2019.103566