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Fracture detection technique based on microimager data using machine learning methods
Moscow Institute of Physics and Technology
Journal: Seismic instruments
Tome: 60
Number: 2
Year: 2024
Pages: 53-66
UDK: 550.8.053
DOI: 10.21455/si2024.2-4
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Arkhipov N.D. Fracture detection technique based on microimager data using machine learning methods // . 2024. Т. 60. № 2. С. 53-66. DOI: 10.21455/si2024.2-4
@article{ArkhipovFracture2024,
author = "Arkhipov, N. D.",
title = "Fracture detection technique based on microimager data using machine learning methods",
journal = "Seismic instruments",
year = 2024,
volume = "60",
number = "2",
pages = "53-66",
doi = "10.21455/si2024.2-4",
language = "English"
}
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Keywords: microimager, edge detection, DL, fullbore microimager, FMI, machine learning, deep learning
Аnnotation: The development of a technique for automatically detecting natural layering and fracturing using machine learning methods is considered. The proposed methodology includes procedures for preprocessing, boundary de-tection, and postprocessing. The efficiency of the algorithm was quantitatively shown on test data, and the pro-posed algorithm was evaluated at a qualitative level on real world data.
