Results of both porosity and permeability can be used by geologists, petrophysicists, and petroleum engineers to evaluate reservoir rock, heterogeneity, and pore space history through the time of deposition and lithifaction. On the other hand, reservoir quality as well as reservoir classification could be performed based on these data correlation. The Szolnok Formation is composed mainly of turbidity elastic deposits while siltstones are intercalated by sandstone beds and streaks of marls. In the present study, 213 core samples are obtained from the Szolnok Formation of the Great Hungarian plain, Hungary. Both horizontal and vertical permeability are measured. The Szolnok Formation has two main lithologic groups: 1. clean sandstone (141 samples) and 2. siltstone – marl (72 samples), it can easily differentiate between good, intermediate or even bad reservoirs. Acoustic laboratory measurements have been carried out for only 30 sandstone rock samples parallel to the bedding plane (horizontal). This paper aims to evaluate some petrophysical relationships. On the other hand, both Wyllie and Raymer models were applied for porosity estimation from seismic velocity. It is worthy to mention that reservoir diagnosis of the Szolnok Formation was our target as well. Both the porosity and permeability variation range characterizing the detected lithologic facies of the Szolnok Formation are useful for reservoir zonation. The relationship between helium and mercury porosity for whole studied samples and sandstone samples as well, are supported by a high correlation coefficient and allow its application for prediction of porosity while it reduces costs and time of laboratory measurements. The evaluation of different calculated equations for porosity from compressional wave velocity data of the Szolnok Formation are studied and the relationship between velocity and porosity displays a clear inverse trend. The comparison between laboratory porosity and sonic derived porosity shows that the values determined by Wyllie and Raymer equations are not applicable to predict it from velocity data.