Determining rock type is one of the most important steps in identifying and zoning a reservoir. In this study, by combining different geological (thin section), petrophysical (well log) and reservoir (core derived porosity and permeability) data, reservoir rock types were determined in one of the fields in southwestern Iran. In this study, in the first step, based on the sedimentological studies, 12 microfacies have been identified and categorized in 7 paleo-environments, then used MRGC algorithm on the well log data which resulted in extraction of 23 petrophysical rock types (PRTs); the merging of electrofacies with similar properties led to identification of 7 electrofacies with individual properties. In the next step, reservoir rock types (RRTs) were determined based on pore throat properties and reservoir quality index; in this way, using the Winland equation, the pore throat radius was estimated and associated with reservoir quality index (based on core porosity and permeability data) and it was fed to the MRGC algorithm for reservoir rock types’ determination. Finally, seven reservoir rock types and their connection with electrofacies and geological facies were determined in the Fahliyan reservoir.

确定岩石类型是识别和划分储层的最重要步骤之一。在这项研究中，通过结合不同的地质（薄片）、岩石物理（测井）和储层（岩心衍生的孔隙度和渗透率）数据，确定了伊朗西南部一个油田的储层岩石类型。在本研究中，第一步，在沉积学研究的基础上，在 7 个古环境中识别和分类了 12 个微相，然后对测井数据使用 MRGC 算法，提取了 23 种岩石物理岩石类型（PRT）；具有相似特性的电相的合并导致识别出具有单独特性的 7 个电相。下一步，根据孔喉性质和储层质量指标确定储层岩石类型（RRTs）；这样，使用 Winland 方程，估计孔喉半径并将其与储层质量指数相关联（基于岩心孔隙度和渗透率数据），并将其输入 MRGC 算法以确定储层岩石类型。最后确定了Fahliyan 油藏7 种储集岩类型及其与电相和地质相的联系。