Abstarct: Inconformity in resolution must be solved in order to incorporate available data from different sources. It is not possible to integrate seismic data –with meter length scale- and well log data –with centimeter length scale- without matching their resolutions. Various algorithms were proposed for multiscale data integration in 2D and 3D. Hampson–Russell is a software (HRs) in which certain petrophysical properties are estimated by simultaneous integration of seismic and well log data. In this thesis, wavelet analysis is used in order to integrate 1D data and to uniform different resolutions of seismic and well log data. The purpose is enhancing HRs performance. Hence, optimum mother wavelets were chosen for porosity logs –available in the software’s databaxse- using “Energy matching” algorithm. Then, this log was decomposed by its individual optimum mother wavelet. The software’s procedure in coordinating different resolutions is not clear; therefore, to approximate its upscaling algorithm, seven known upscaling methods were applied to porosity logs. By referring to the resolution of seismic data (in millisecond), a standard resolution was computed (in meter) and calculations by upscaling methods carried on till this resolution. To preserve depth match between seismic and upscaled log data, a novel wavelet baxse method was developed for porosity log decomposition. Results of upscaling methods and upscaled output of HRs were compared using cross correlation. By this criteria, “Power averaging”, “Renormalization”, and “Ghoraishi wavelet transform” have the highest ranking. Comparing with Ghoraishi wavelet transform, the two first methods have better function (about 3% & 2% in turn). Depth match numbers of 98/96%, 87/20%, and 97/28% are achieved respectively. The similarity between “outputs” (Ghoraishi upscaled signal and HRs output) and “original signal” were calculated by cross correlation. Results has shown better function of “thesis wavelet transform”. This result was repeated when Ghoraishi wavelet transform applied on Iranian field data