Use of Dimensions and Geometrical Shape of Reservoir Rock Grains for Correction of Petrophysical Values Through Simulation of Interparticle Pore Space

Document Type : Research - Paper

Authors

1 Assistant Professor, Dept. of Mechanical, Civil, and Architectural Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, Iran

2 M.Sc, Dept. of Mechanical, Civil, and Architectural Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, Iran

Abstract

In recent years, the use of micro X-Ray images with very high resolution (as low as 100 nm) in different scientific fields has led to the development of modern methods for performing various calculations and measurements. The use of these images has become quite popular among petroleum engineers. This is because the reservoir rock-related properties like petrophysical properties and the properties that are simultaneously related to reservoir rock and fluid such as drainage and imbibition phenomena can be estimated using micro X-Ray images. To estimate these properties, some geometrical properties of grains
of two different cores are calculated and compared to each other through micro X-Ray images and some
software. Then, with the help of the micro X-Ray images, the necessary information for simulation of the
pore network of the rock is gathered. Afterward, with the use of this information and some other software, the pore network of each of these rocks is simulated and consequently, the porosity and permeability of each of these rocks are estimated. In the simulation process, some assumptions are made to prevent the complexity of the calculations. These assumptions result in a deviation of the calculated values from real (laboratory) values. Therefore, using the calculated geometrical values obtained in the first step, a relationship is achieved by which the calculated values of the simulation are brought closer to those of the laboratory. In this research, based on the aforementioned steps and by using the sphericity, convexity, and aspect ratio of grains obtained from 2D images, a correlation is developed. Ultimately, the estimated rock properties procured by simulation are related to measured laboratory data through this correlation.

Keywords


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