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. Identification of spatial distribution of lithology as a function ofposition and scale is a very critical job for lithology modelling in industry.Wavelet transform (WT) is an efficacious and powerful mathematical tool fortime (position) and frequency (scale) localization. It has numerousadvantages over Fourier transform (FT) to obtain frequency and timeinformation of a signal. Initially continuous wavelet transform (CWT) was applied ongamma ray logs for identification of lithofacies distribution, and laterdiscrete wavelet transform (DWT) was applied on density logs to identify thefracture zones. In this study the data were taken from two different wellsites (well 1039 and well 1043) of the Costa Rica convergent margin, CentralAmerica. The CWT analysis provides four major sedimentary layers terminatedwith a concordant igneous intrusion passing through both the wells. Inaddition, the wavelet-based fractal analysis (WBFA) technique was applied onidentified sedimentary successions, and fractal-dimension (FD) values werecalculated for every succession to know the presence and distribution offractures. We found that the second and third successions have a high FD value,whereas the first and fourth successions have a low FD value. These high values may be dueto the presence of abundant shale content and low-energy environments in thesedimentary successions.

Geological stratigraphy and spatial distribution of microfractures over the Costa Rica convergent margin, Central America – a wavelet-fractal analysis