Zong, Nan, Al-Nuaimy, Waleed 
ORCID: 0000-0001-8927-2368, Lakany, Heba ORCID: 0000-0003-3079-0392 and Worthington, Paul
(2023)
Borehole Inner Surface Visualization System with Vibration Cancellation and Trajectory Smoothing Based on Optical Monocular Video Camera.
In: 9th International Conference on Geographical Information Systems Theory, Applications and Management, 2023-4-25 - 2023-4-27.
Abstract
The rapid digitization and modelling of the planet brings with it increased demand for the tools necessary to process and visualize disparate streams of multivariate and often highly complex geophysical data streams. The rationalization of detection hardware and the integration of sensors offers the potential to economically visually explore and map geophysical environments such as the interior of subterranean boreholes. This paper addresses the challenge of visual reconstruction of the geometry of the inner surface of a borehole from video data collected via a monocular optical camera. We introduce a novel system of algorithms to unwrap the cylindrical borehole inner surface data and to compensate for the offsets and errors arising during data acquisition. Three modules are designed for this task: Unwrapping module consisting o algorithms to generate visualization results of borehole inner surfaces; Vibration cancellation module that compensates for rotation and drift errors caused by the movement of detectors, balancing computational cost and performance; Trajectory smoothing based on image convolution signal processing methods to filter out anomalies and interruptions that arise as a result of the other processing stages. The proposed system integrates these modules to generate planar side-view images with a high level of spatial accuracy. This system also contributes to establish a novel and easy-to-access visualization tool of boreholes with simplified detectors that only consists of a monocular camera and a fixed circular LED band. Results has demonstrated the system is capable of resisting high frequency drift and the effects of rotation and vibrations in harsh subterranean environments. This novel combination of video and image processing marks a significant improvement over currently available or published borehole video exploration techniques, and can be further extended and enhanced to deliver more accurate multi-sensor 3D modeling and reconstruction of the complex inner structure of geophysical boreholes.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 26 Sep 2023 15:34 |
| Last Modified: | 27 Nov 2023 06:21 |
| DOI: | 10.5220/0011840300003473 |
| Open Access URL: | https://www.scitepress.org/Link.aspx?doi=10.5220/0... |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3173090 |
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