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Journal of Geosciences and Geomatics. 2019, 7(1), 42-53
DOI: 10.12691/JGG-7-1-5
Original Research

Using EGM2008 Gravity Data for Mapping and Detecting Structural Subsurface Anomalies in the Mayo-Kani Division (Cameroon)

Jean Jacques Nguimbous-Kouoh1, , Simon Ngos III1 and Eliezer Manguelle-Dicoum2

1Department of Mines, Petroleum, Gas and Water Resources Exploration, Faculty of Mines and Petroleum Industries, University of Maroua, P.O. Box 08 Kaele, Cameroon

2Department of Physics, Faculty of Science, University of Yaoundé I, PO Box 6052 Yaoundé, Cameroon

Pub. Date: February 10, 2019
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Jean Jacques Nguimbous-Kouoh, Simon Ngos III and Eliezer Manguelle-Dicoum. Using EGM2008 Gravity Data for Mapping and Detecting Structural Subsurface Anomalies in the Mayo-Kani Division (Cameroon). Journal of Geosciences and Geomatics. 2019; 7(1):42-53. doi: 10.12691/JGG-7-1-5

Abstract

To resolve the problem of gravity mapping in the Mayo-Kani Division, we extracted a sample of data from the high-resolution Bouguer anomaly database EGM2008. The objective of this process was to map and detect subsurface anomalies in the region. Regional-residual separation was applied to the data using a third-order polynomial fit. This separation enables to obtain regional and residual maps. Other filtering actions, such as horizontal and vertical derivatives, have been applied to the data to enhance sources of anomalies in the study area. The residual map of the study area was superimposed on the geological map to delineate and interpret the correlation with the shallow geological structures. The main sources of residual gravity anomalies have been recognized. The interpretation of the derived maps revealed the N-S, E-W, NE-SW and NW-SE structural patterns. These trends have been associated with the major structural directions observed in the Far North Cameroon region. The Euler Deconvolution allowed the detection of sources of anomalies and to determine their depths. The fracture map obtained from this method has improved knowledge on the search for buried ores and the geological structures associated with oil and gas deposits. Overall, the generated gravity maps provided a better understanding of the Mayo-Kani geological setting.

Keywords

EGM2008, polynomial fitting, Euler Deconvolution, gravity mapping, Mayo-Kani

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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