The characterization of carbonate rocks is a challenging process compared to siliciclastics because of their more intricate pore-space structure. In this study, we applied rock physics methods to a heterogeneous carbonate reservoir located in south-west Iran to identify zones of various pore types, including inter-particle pores, stiff (vuggy and moldic) pores, and cracks, from geophysical measurements. We first constructed two rock physics templates (RPTs) using well logs and used them to quantitatively analyze the effect of various pore types on elastic properties. Using these RPTs, we then implemented an inversion algorithm to estimate the volume fractions of various pores using total porosity and P-wave velocity (V_p) derived from well logs. Next, we have compared the pore-type inversion results and the image log interpretation/core images at the corresponding depth intervals to validate inversion results. This comparison showed that the inversion results are consistent with the measurements. Also, we applied the introduced pore-type inversion algorithm on seismic data to achieve insight into pore-type distribution in the 3D framework of the reservoir under study. The results of these rock physics-based analyses indicate that the inter-particle pores are dominant in the pore-space, while there are stiff pores and dispersal cracks in some subzones of the studied depth interval. Additionally, employing the Xu and Payne rock physics modeling procedure, P- and S-wave velocities were estimated using pore-type inversion results at the location of several wells from the studied field. The calculated mean absolute error and the correlation coefficient indicate a high consistency between the measured and modeled velocities. This research may contribute to permeability prediction and analysis of the diagenetic processes’ impact on reservoir properties.

与硅质碎屑岩相比，碳酸盐岩的表征是一个具有挑战性的过程，因为它们的孔隙空间结构更为复杂。在这项研究中，我们将岩石物理学方法应用于位于伊朗西南部的非均质碳酸盐岩储层，以从地球物理测量结果中识别出各种孔隙类型的区域，包括颗粒间孔隙，坚硬（疏松和模制）孔隙和裂缝。我们首先使用测井曲线构造了两个岩石物理模板（RPT），并使用它们来定量分析各种孔隙类型对弹性特性的影响。然后，使用这些RPT，我们实施了反演算法，使用总孔隙率和P波速（V _p）源自测井。接下来，我们比较了孔隙类型反演结果和相应深度间隔的图像测井解释/岩心图像，以验证反演结果。该比较表明，反演结果与测量结果一致。此外，我们将引入的孔隙类型反演算法应用于地震数据，以深入了解正在研究的储层3D框架中的孔隙类型分布。这些基于岩石物理学的分析结果表明，颗粒间孔隙在孔隙空间中占主导地位，而在研究深度区间的某些分区中存在刚性孔隙和分散裂缝。此外，采用Xu和Payne岩石物理学建模程序，利用研究型油田中几口井位置的孔隙型反演结果估算了P波和S波速度。计算出的平均绝对误差和相关系数表明测得的速度和建模的速度之间具有很高的一致性。这项研究可能有助于渗透率预测和成岩过程对储层物性的影响分析。