A Computer Vision Approach to Compute Bubble Flow of Offshore Wells

Rogerio Hart, Aura Conci

2024

Abstract

This work presents two approaches for detecting and quantifying the offshore flow of leaks, using video recorded by a remote-operated vehicle (ROV) through underwater image analysis and considering the premise of no bubble overlap. One is designed using only traditional digital image approaches, such as Mathematical Morphology operators and Canny edge detection, and the second uses segmentation Convolutional Neural Network. Implementation and experimentation details are presented, enabling comparison and reproduction. The results are compared with videos acquired under controlled conditions and in an operational situation, as well as with all previous possible works. Comparison considers the estimation of the average diameter of rising bubbles, velocity of rise, leak flow rate, computational automation, and flexibility in bubble recognition. The results of both techniques are almost the same depending on the video content in the analysis.

Paper Citation

in Harvard Style

Hart R. and Conci A. (2024). A Computer Vision Approach to Compute Bubble Flow of Offshore Wells. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 664-671. DOI: 10.5220/0012433500003660

in Bibtex Style

@conference{visapp24,
author={Rogerio Hart and Aura Conci},
title={A Computer Vision Approach to Compute Bubble Flow of Offshore Wells},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={664-671},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012433500003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - A Computer Vision Approach to Compute Bubble Flow of Offshore Wells
SN - 978-989-758-679-8
AU - Hart R.
AU - Conci A.
PY - 2024
SP - 664
EP - 671
DO - 10.5220/0012433500003660
PB - SciTePress