Regular Article
Identification of the fractures of carbonate reservoirs and determination of their dips from FMI image logs using Hough transform algorithm
1
Department of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood 3619995161, Iran
2
Department of Petroleum and Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
* Corresponding author: kamkarr@yahoo.com
Received:
15
October
2020
Accepted:
29
March
2021
Carbonate reservoirs are of great importance due to having many fractures and the effectiveness of these fractures in oil production. The most effective tools for studying fractures are image logs that capture high resolution images from the well. An example of these images is the FMI tool, which provide important information on the orientation, depth, and type of fracture. Today, the detection of fractures on these logs is done manually, which in the absence of sufficient experience, will encounter errors. The purpose of this study is to identify the reservoir fractures and the dips of the fractures using Canny edge detection algorithm and Hough transform algorithm and image processing operators, so that in the first stage, fractures are identified in Geolog Software and in the second stage, using MATLAB Software, fractures and their dip are interpreted.
© M. Shafiabadi et al., published by IFP Energies nouvelles, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.