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A joint project of the University of Western Australia (UWA) and Geosoft, supported by Barrick Gold, has created new CET grid analysis software which can help explorers improve their interpretations
The CET Grid Analysis software provides tools for grid texture analysis, lineament detection, edge detection, and thresholding to coax out trends from geophysics datasets and facilitates the following:
The Algorithms will be useful in exploring for most kinds of mineral deposits, in particular gold and base metal mineralization.
By Graham Chandler
With 26 operating mines and projects across five continents, Barrick Gold Corporation is a minerals industry leader. But like most resource companies, it won’t hold the lead for long if it doesn’t constantly explore for new reserves to replace production.
Finding those new deposits is an ongoing challenge. Precious few new gold discoveries have been reported over the last decade.
Nowhere is this truer than in Africa, where Barrick operates four gold mines. There, the company reports proven and probable gold reserves of 18.4 million ounces. With annual production figures like the 545,000 ounces in 2008, it’s clear why it needs to stay ahead of the game to preserve production levels.
Most of Barrick’s African gold mines sit within a 100-kilometre radius around Lake Victoria in Tanzania, East Africa. It’s a prolific gold region where Barrick continues to search its landholdings for new reserves.
And that’s where the new CET grid analysis software has worked so well and become an indispensable tool for Barrick. “The most relevant application to date has been on airborne gravity data in the Lake Victoria Goldfields,” says Matthew Hope, Barrick’s Project Geophysicist for Africa/Eurasia, “to assist in mapping dislocations and gradient changes commonly associated with greenstone gold deposits.”
It is the identification and mapping of these features that makes the new CET grid analysis tool so useful to explorers. The modules are essentially automatic interpretation tools that provide a first pass lineament detection on gridded/image data.
They provide a huge time savings benefit. “Exploration teams today have a lot of data to sift through and don’t have a long time to do it,” says Louis Racic, Geosoft’s Product Management Director. “At one time people would spend weeks or months completing interpretations—we don’t have that luxury anymore.”
The clever and sophisticated algorithms behind these tools were created by the Geophysics and Image Analysis Group of The University of Western Australia (UWA)’s Centre for Exploration Targeting (CET), part of the University’s School of Earth and Environment. The group is supported through a partnership between UWA, Curtin University of Technology and the mineral exploration industry. Since 2006, the team has been focusing on developing new techniques to enhance and automatically detect features of interest from geoscientific datasets.
While the UWA team are clearly the mathematical theorists behind the initiative, creation of the new modules was a joint effort with partners Barrick and Geosoft. It was a three-way win situation. “We saw an opportunity to support an educational initiative and it was a good fit with our mission of empowering explorers,” says Racic. “The University of Western Australia is well regarded in the exploration community, especially in Australia. And we can benefit from them as they can benefit from us.”
The other partner, Barrick Gold, agrees—they were in fact instrumental in getting the project underway. “The significance of the grid analysis tools was first recognized through our association with the External Advisory Group for CET,” says Barry Bourne, Chief Geophysicist-Global Exploration, at Barrick Gold. The company provided already-analyzed datasets for testing of the algorithms. “Initial processing of potential field data with the CET grid analysis tools showed a good correlation with known structure and geology,” he says. With those successes, Barrick saw the need to have it commercialized and recommended that CET discuss possible solutions with Geosoft.
Bourne says it wasn’t just one single interpretative situation that identified the need for the new grid analysis tool. “It was more a case of having access to new layers of information to assist with the interpretation of potential field data,” he says. “We offered critical feedback on the outputs, [which] varied from comments on the association of outputs with known geology/structure to the provision of GIS-compatible output for integration with other exploration data.”
In the CET group at UWA, Associate Professor Eun-Jung Holden teamed up with Professor Mike Dentith and Dr Peter Kovesi to develop the methodology used for the software. In 2009 when the project hit its stride, Holden coordinated and led the team, assisted by research associate Shih Ching Fu, to develop the software.
Holden explains the outcome and the three basics of what the mathematical processes do. “The algorithms provide methods to enhance local discontinuities within data by analyzing local textures; to locate laterally continuous regions of discontinuity by finding texturally complex line features or finding data edges; and to vectorize the axes of resulting discontinuity regions,” she says. These are all useful identifiers for explorers looking for features.
She says the base algorithms are well-established methods in the computer vision community, some of which had been developed by team member Kovesi. “These algorithms are combined and adapted for geophysical processing in CET grid analysis,” she says.
The software provides generic tools that are broadly applicable. Barrick’s Bourne reckons the new software will have some use in most exploration situations with potential field or other image analysis requirements. “It is not a standalone tool but a supplement to traditional image outputs,” he says. And it’s fast, too. “The efficiency of the CET grid analysis tools is one of its major strengths. From a user perspective the code is relatively easy to understand and quick to run. Several iterations can be achieved in short periods of time on most potential field datasets.”
UWA’s Holden says the new processes have only become possible more recently. “A main challenge in developing geophysical image processing tools is in dealing with the size and scale of the data while preserving a reasonable execution time,” she says. “Often geophysical datasets are larger than datasets used in other fields, and clients do not have access to high powered hardware.”
Holden is pleased with the coordinated team approach with industry in developing the software and figures it’s a major factor in its success—these projects can’t just be academic exercises. “Applied science researchers aim to identify real world problems, devise scientific solutions and evaluate the effectiveness and impact of their approaches,” she says. “Through CET’s industry networks and sponsors, our team has had access to exploration industry companies, specifically Barrick Gold, for this project.” Several other large exploration companies have shared their research outcomes with UWA and tested the effectiveness and marketability of CET’s algorithms within the past year as well. They were keen to embrace the technology and encourage its market availability.
Barrick geophysicists expect to use it on both magnetic and gravity data; and possibly radar data in specialized applications. They see the tool as an ‘extra filter’ technique—to be included with the range of filters they use to generate potential field images at a project’s initial workup stage. During interpretation its output has the most impact on mapping structure, so will be used heavily in structural geology and for identifying zones of structural complexity for targeting. Barrick’s Matthew Hope sees the value of its conversion of a grid product into a vectorized product ready for integration into GIS packages.
Clearly the specific algorithms contained in this new tool all provide significant gains for the interpretation process. But the research doesn’t stop there. “Image processing research is a rapidly moving field, and CET intends to transfer and extend these advances into the field of geophysical image processing,” says UWA’s Holden.