Characterization and estimation of reservoir properties in a carbonate reservoir in Southern Iran by fractal methods

Journal of Petroleum Exploration and Production Technology

Mohsen Masihi¹  Rezvan Rahimi²  Mahmoud Bagheri² 

[1] Department of Chemical and Petroleum Engineering, Sharif University of Technology;Department of Petroleum Engineering, Science and Research Branch, Islamic Azad University;

关键词: Porosity;    Permeability;    Fractal geometry;    fGn;    fBm;   

DOI  :  10.1007/s13202-017-0358-7

来源: DOAJ

【 摘 要 】

Abstract Reservoir heterogeneity has a major effect on the characterization of reservoir properties and consequently reservoir forecast. In reality, heterogeneity is observed in a wide range of scales from microns to kilometers. A reasonable approach to study this multi-scale variations is through fractals. Fractal statistics provide a simple way of relating variations on larger scales to those on smaller scales and vice versa. Simple statistical fractal models (fBm and fGn) can be useful to understand the model construction and help the reservoir structure characterization. In this paper, the fractal methods (fGn and fBm) have been applied to characterize and to estimate of reservoir properties. Three methods, namely box-counting, variogram, and R/S analysis, were carried out on log and core data for porosity and permeability data to estimate fractal dimension; a high fractal dimension estimated in this study reveals a high heterogeneity in the reservoir. Moreover, sampling from simulated fractal data at non-existing data depths enables us to generate appropriate realizations of reservoir permeability with suitable accuracy at a proper computational time.

【 授权许可】

Unknown