Abstarct: One of the main part of reservoir studies is rocks measuring. Regard to the scale of studying this step divides to many sub steps from formation to mineralogy. There are varieties of approaches to measure or estimate sub steps. For formation scale petrophysists apply some methods such as seismic studies, pattern recognition and geology baxsed supervising. In addition, to extend it to larger scales as a indirect perspective cross plots, matrices, pattern recognition algorithms are applied, and as a direct perspective XRD, ED-XRF, WD-XRF, FTIR, SEM, QEM Scan are applied. In this thesis continuous wavelet transforms are applied to discrete formations and to extend it to larger scales in a known formation electrofacies are separated by Gustafson-Kessel algorithm, as a result, to estimate mineralogy LOLIMOT estimator algorithm is utilized to estimate main minerals percent of the formation. Thesis data were driven from three wells of Cliffhead oil field in Australia; the mineralogy data which evaluate thesis were driven from QEM Scan cores of Cliffhead number 1, 2 and 4. At last but not least, the results shows more than 95% agreement in formation scale, and got average success of 80% in main mineralogies estimation.