Permeability is one of the essential petrophysical properties of rocks, reflecting the rock's ability to pass fluids. It is considered the basis for building any model to predict well deliverability. Yamama formation carbonate rocks are distinguished by sedimentary cycles that separate formation into reservoir units and insulating layers, a very complex porous system caused by secondary porosity due to substitute and dissolution processes. Those factors create permeability variables and vary significantly. Three ways used for permeability calculation, the firstly was the classical method, which only related the permeability to the porosity, resulting in a weak relationship. Secondly, the flow zone indicator (FZI) was divided reservoir into two regions according to the bore throat and find correlation between them. Due to the lack of the core samples obtained in reservoir units, the correlations result were poor also. Thirdly, multilinear regression (MLR) was used to connect the logs and the variables that had the most significant influence on the calculated transmittance. It found the better match from other methods. Conclude that permeability was altering from very low in the insulator areas to medium in the reservoir units, which was characterized by cracks and fissures, which played an essential role in the permeability magintude. The importance of research is obtain permeability of wells in un-cored locations by used core data and well logs, which considered input for any geological and dynamic model.