Identification of the fractures of carbonate reservoirs and determination of their dips from FMI image logs using Hough transform algorithm

9Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Shafiabadi, M., Kamkar-Rouhani, A., & Sajadi, S. M. (2021). Identification of the fractures of carbonate reservoirs and determination of their dips from FMI image logs using Hough transform algorithm. Oil and Gas Science and Technology, 76. https://doi.org/10.2516/ogst/2021019

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free