In the present study, different formation evaluation techniques, applied to appraisal well data, are shown to effectively improve reservoir heterogeneity/anisotropy study in a carbonate reservoir. Initially, the conventional logs are evaluated to determine primarily reservoir lithology, fluid types, saturation, and reservoir quality (porosity values). Matrix components are then investigated by processing the formation micro image log. Accurate porosity type variation is studied by the evaluation of porosity distribution received from the nuclear magnetic resonance log. Vp/Vs and Poisson’s ratio are calculated from slowness data of dipole sonic log to represent rock physics changes in different intervals. Waveform anisotropy analysis is also used to distinguish the anisotropy changes by azimuths. Applying and comparing these techniques to a case study demonstrates how heterogeneity and anisotropy could be related to providing reservoir characterization analysis for carbonate reservoirs.