Earth Physics Laboratory

Algiers, Algeria

Earth Physics Laboratory

Algiers, Algeria
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Ouadfeul S.-A.,University of Science and Technology Houari Boumediene | Eladj S.,Earth Physics Laboratory | Aliouane L.,University of Science and Technology Houari Boumediene | Aliouane L.,Earth Physics Laboratory
Arabian Journal of Geosciences | Year: 2012

The main goal of the proposed work is to delineate structural boundaries in a very complex geology environment using the spatial and statistical properties of the potential field data. The analysis is performed using magnetic anomaly of the total field data over In Ouzzal, an Archaean north–south elongated block belonging to the Hoggar (Algeria). This region is geologically and geophysically very poorly known except some localized areas. The intrinsic properties of high-frequency signals and the related causative sources are explored, thanks to twodimensional continuous wavelet transform. The obtained results, represented by spatial distribution of the maxima of the modulus of the wavelet transform at each scale, clearly show that the major magnetic singularities of the field may be related to geological features. Comparison with the Euler’s deconvolution solutions exhibits a very good correlation. Even though where geological structures are known, our method shows better resolution and accuracy. The proposed multiscale method proves to be more powerful, easy to use, and versatile where classical methods of potential field interpretation fail or are very constraining. However, work is still ongoing to try to better and fully characterize the causative sources of the potential fields. © 2010 Saudi Society for Geosciences.


Ouadfeul S.-A.,UFR Geosciences and Mines | Ouadfeul S.-A.,University of Science and Technology Houari Boumediene | Aliouane L.,University of Science and Technology Houari Boumediene | Aliouane L.,Earth Physics Laboratory
Arabian Journal of Geosciences | Year: 2013

The main goal of this paper is to design and develop a new technique and software tool that help automatic lithofacies segmentation from well logs data. Lithofacies is a crucial problem in reservoir characterization and our study intends to prove that techniques like wavelet transform modulus maxima lines (WTMM) and detrended fluctuation analysis (DFA) approaches allow geological lithology segmentation from well logs data. On the one hand, WTMM prove to be useful for delimitation of each layer. We based on its sensitivity on the presence of more than one texture. On the other hand, DFA is used to enhance the estimation of the roughness coefficient of each facies. We have used them jointly to segment the lithofacies of boreholes located in the Algerian Sahara. Obtained results are encouraging to publish this method because the principal benefit is economic. © 2011 Saudi Society for Geosciences.

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