Automated Structure Detection and Analysis in Televiewer Images

Daniel Wedge; Eun-Jung Holden; Mike Dentith; Nick Spadaccini

doi:10.1071/ASEG2015ab152

24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery

ISSN: 2202-0586
E-ISSN:

oa Automated Structure Detection and Analysis in Televiewer Images
Authors Daniel Wedge^a, Eun-Jung Holden^a, Mike Dentith^a and Nick Spadaccini^b
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^a Centre for Exploration TargetingThe University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, , Australia, [email protected] ^b School of Computer Science and Software EngineeringThe University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, , Australia
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2015, Issue 24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery, Dec 2015, p. 1 - 4
DOI: https://doi.org/10.1071/ASEG2015ab152
- Published online: 01 Dec 2015

Abstract

Borehole televiewer data is an important source of data on structural and stratigraphic discontinuities in both the mining and petroleum industries. Manually picking features in downhole image logs is a labour-intensive and hence expensive task and as such is a significant bottleneck in data processing. It is also a subjective process.

We present a new algorithm and workflow for automatically detecting and analysing planar structures in downhole acoustic and optical televiewer images. First, an image complexity measure highlights areas most suitable for automated structure detection. Changes in the image complexity can be used to locate geological boundaries. Second, structures are automatically detected, with each structure having an associated confidence level; users can apply a threshold to the confidence values to adjust the quality and quantity of the detected structures based on the image quality and geological complexity. Third, structures that have been detected but that do not meet the structure confidence threshold can be interactively assessed and if necessary selected. We also provide tools for rapidly picking sets of equivalent structures and reducing structures to a set of representative picks.

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2026-01-17

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References

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Article Type: Research Article

Keyword(s): auto picking; downhole imaging; planar structure detection; televiewer

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