Petrophysical reservoir quality assessment is achieved through several methods based on the pore volume, connectivity, and conductivity. Reservoir quality index (RQI), and reservoir flow indicator (FZI) are among the most important parameters that are used for this assessment. In addition, the effective pore radius of Winland (r₃₅) is additional technique that is applied based on mercury injection capillary pressure plots (MICP). For the present study, a total of 185 sandstone and 64 carbonate plug samples were collected from different oil and gas fields, in addition to some surface analogs in the Gulf of Suez and Nile Delta of Egypt. The effective porosity, matrix gas permeability and the reservoir quality parameters, including the RQI and FZI were measured. Based on their mineral composition and petrophysical behavior, the studied samples are summed up into six petrophysical static rock types (PSRTs) of different ranks, Including tight, poor, fair, good, very good, and excellent rock types.

In addition, MICP data is available for 40 sandstone and 19 carbonate samples from the same gas and oil fields. The MICP results indicate that, the pore sizes can be classified into mega, macro, meso, micro, and nano pores. Integration between the capillary curves and the pore sizes enables accurate assessment of the reservoir quality.

The present study aims to correlate between the reservoir ranks that is obtained from the MICP tests and that obtained from Winland equation, RQI, and FZI values. It is indicated that, applying the MICP is better for sandstones rather than carbonate reservoir, while the other reservoir quality parameters are applicable for both sandstone and carbonate reservoirs. The variation of the reservoir quality rank based on the applied technique regardless of its interstitial filling fluids indicates the needs to a new ranking classification. The present study introduces a new ranking classification which is based on the cutoff values for each reservoir. So, it takes type of the saturating fluids into consideration, and it is applicable for all reservoirs including the conventional, unconventional tight reservoirs, and fractured reservoirs.

岩石物理储层质量评估是通过基于孔隙体​​积，连通性和电导率的几种方法实现的。储层质量指数（RQI）和储层流量指示器（FZI）是用于评估的最重要参数。此外，Winland的有效孔隙半径（r ₃₅）是基于汞注入毛细管压力图（MICP）应用的附加技术。对于本研究，除了苏伊士湾和埃及尼罗河三角洲的一些地表类似物外，还从不同的油气田收集了总共185个砂岩和64个碳酸盐岩塞样品。测量了有效孔隙度，基质气体渗透率和储层质量参数，包括RQI和FZI。根据其矿物成分和岩石物理特性，将所研究的样品归纳为六种不同等级的岩石物理静态岩石类型（PSRT），包括致密，差，中等，良好，非常好和优异的岩石类型。

此外，可从同一气田和油田获得40个砂岩和19个碳酸盐样品的MICP数据。MICP结果表明，孔径可分为大，大，中，微和纳米孔。毛细管曲线和孔径之间的积分可以准确评估储层质量。

本研究旨在通过MICP测试获得的储层等级与从Winland方程，RQI和FZI值获得的储层等级之间建立关联。结果表明，与砂岩碳酸盐岩储层相比，采用MICP比砂岩储层更好，而砂岩和碳酸盐岩储层均适用其他储层质量参数。不管其间质填充液如何，基于所应用技术的储层质量等级变化都表明需要进行新的等级分类。本研究介绍了一种新的等级分类方法，该方法基于每个储层的临界值。因此，它考虑了饱和流体的类型，并且适用于所有储层，包括常规，非常规致密储层和裂缝性储层。