Abstract—The main goal of this paper is to use the wavelet transform modulus maxima lines (WTMM) and the detrended fluctuations analysis (DFA) methods to establish a new technique of lithofacies segmentation from well logs data. The WTMM is used to delimitate lithoafacies boundaries and the DFA is used to provide an exact estimation of the roughness coefficient of lithofacies. Application of the proposed idea at the synthetic and real data of a borehole located in Berkine basin shows that the proposed technique can enhance reservoirs characterization.

Index Terms—WTMM, DFA, lithofacies, segmentation, reservoir.

Sid-Ali Ouadfeul is with the Algeian Peroleum Institute, IAP Algeria and The Faculty of earth sciences, University of Sciences and technology, USTHB, Algeria(e-mail: Souadfeul@ymail.com).
Leila Aliouane is with University of M’hamed Bouguerra, Boumerdes, Algeria and The Faculty of earth sciences, University of Sciences and technology, USTHB, Algeria(email:lil_aldz@yahoo.fr).

Cite: Sid-Ali Ouadfeul and Leila Aliouane, "Multifractal Analysis Revisited by the Continuous Wavelet Transform Applied in Lithofacies Segmentation from Well-Logs Data," International Journal of Applied Physics and Mathematics  vol. 1, no. 1, pp. 10-18, 2011.