Automatic Fracture Identification from Logging Images Using the Tscode-Simam-Yolov5 Algorithm

Author:

Guo Yuhang,Yu Hongda,Pan Baozhi,Li Yan,Wang Xinru,Han Ruiyi

Publisher

Elsevier BV

Reference29 articles.

1. Saliency guided faster-rcnn (sgfr-rcnn) model for object detection and recognition;Journal of King Saud University -Computer and Information Sciences,2022

2. A survey of modern deep learning based object detection models;Digital Signal Processing,2022

3. Fractured zones detection using conventional petrophysical logs by differentiation method and its correlation with image logs;G Aghli;Journal of Petroleum Science and Engineering,2016

4. Automatic fracture detection and characterization from unwrapped drill-core images using mask r-cnn;F Alzubaidi;Journal of Petroleum Science and Engineering,2022

5. Improving accuracy of automatic fracture detection in borehole images with deep learning and gpus;Anatoli Quintanilla;30th SIBGRAPI Conference on Graphics, Patterns and Images,2017

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