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Exploration Technology and Commercialisation

The CET works to address the techonological demands of the modern data-intensive exploration business, pioneeering new approaches to increase the impact and efficiency of geoscientific data analysis in the minerals industry. Under the lead of Professor Eun-Jung Holden, our technology team can work to identify and meet the analytical needs of our research partners.



In partnership with major software houses, the CET also commercialises exploration technology and software solutions developed across our portfolio of pure and applied research, bringing innovative improvements to the applied face of industry.

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Related News

The CET and Advanced Logic Technology (ALT) are proud to announce the Image and Structure Interpretation (ISI) workspace for WellCAD 5.1

by User Not Found | Feb 27, 2015
The Centre for Exploration Targeting and Advanced Logic Technology (ALT) are proud to announce the Image and Structure Interpretation (ISI) workspace for WellCAD 5.1, a leading software product for downhole data processing and management. The ISI workspace provides auto-picking functionality and an accompanying workflow to rapidly and objectively process downhole acoustic and optical televiewer images, and formation micro-imager images. This is the culmination of a project initiated in 2008 at CET, supported from 2010 by Rio Tinto, and more recently supported by a UWA Pathfinder grant leading to its commercialisation with ALT.
The Centre for Exploration Targeting and Advanced Logic Technology (ALT) are proud to announce the Image and Structure Interpretation (ISI) workspace for WellCAD 5.1, a leading software product for downhole data processing and management. The ISI workspace provides auto-picking functionality and an accompanying workflow to rapidly and objectively process downhole acoustic and optical televiewer images, and formation micro-imager images. This is the culmination of a project initiated in 2008 at CET, supported from 2010 by Rio Tinto, and more recently supported by a UWA Pathfinder grant leading to its commercialisation with ALT.

In the minerals and petroleum industries, downhole image logs are routinely analysed to detect planar structures, which is of importance for understanding subsurface geology including mapping mineralisation and fluid flow pathways, and for stability calculations. Manually picking structures in these images, imaged as sinusoids as shown in the example image, is time-consuming - there are numerous structures contained in this short 2m section of the image log, yet major companies routinely collect and manually process hundreds of kilometres of televiewer logs annually. Structure picking is also subjective, leading to inconsistencies in geological interpretation.

The ISI workspace tools include: an image complexity measure which summarises the geological complexity and the image quality (which may vary due to the drilling method used or the presence of mud or sediment) throughout a borehole, for use in partitioning a hole into geological zones; an algorithm for automatically detecting structures (including detection of half- and full-sinusoids, open and closed aperture, faint and well-defined structures) and providing a confidence value for each structure; tools for rapidly interactively selecting structures according to their structure confidence; further user-assisted rapid detection of structures such as sets of structures with the same orientation; and reduction of structures to "representative picks" which sparsely represent the structure orientations of a section of a borehole. These tools provide rapid, objective and repeatable results. In addition, integration of the workspace into WellCAD (which is widely used by many explorers, producers and contractors) provides familiarity with the user interface and visualisation tools, and compatibility with existing file formats and workflows.

The ISI workspace will be released in March.For more details please download the flyer heror visit



Workspace Overview.png: The workspace displays the raw televiewer image, and the automatically-picked structures are displayed on the image and with a virtual core in 3D. The Confidence column displays the structure confidence, which provides feedback to the user on the quality of each detected structure.



Photo: Eun-Jung Holden, Annick Henriette (ALT), Timo Korth (ALT) and Daniel Wedge promoting the software at the ASEG conference held in Perth in February.