Sponsored

Viking Mines (ASX:VKA) Advances Linka Tungsten Project with Positive Ore Sorting Results

3 min read | June 18, 2026 12:44 PM AEST | By Sonal Goyal

Highlights

  • XRT ore sorting, conducted by TOMRA, successfully separated mineralised material into product and waste streams at the Linka Tungsten Project.
  • Approximately 8% of the Conquest Pit feed and 56.1% of Linka Stockpile feed reported to product streams during sorting trials.
  • Visible scheelite was confirmed in the high-grade product fraction from the Conquest Pit sample.
  • The testwork deployed TOMRA’s new CONTAIN™ deep-learning software within a three-stage cascade sorting process.
  • Product fraction assays are expected in July 2026.
  • Ore sorting could support higher plant feed grades and stockpile upgrading as part of Viking's proposed 300,000-tonne-per-annum Linka processing strategy.

Viking Mines Limited (ASX:VKA) (OTCID:VKALF) has reported positive initial results from X-ray Transmission (XRT) ore sorting testwork conducted by TOMRA on mineralised material from its Linka Tungsten Project in Nevada, USA. The testwork on two samples  separated mineralised feed into discrete product and waste streams. Assay results from the product fractions are expected in the second half of July 2026.

Advanced Ore Sorting Technology Put to the Test

The ore sorting program was carried out at TOMRA’s Test Center in Wedel, Germany, using approximately 19.4 kg samples each from the Conquest Pit and Linka Stockpile. The material was crushed and screened to a size range of 10 mm to 40 mm to evaluate its suitability for sensor-based pre-concentration.

The testing employed XRT technology, which distinguishes material based on atomic density. The technology is particularly suited to detecting scheelite, a tungsten-bearing mineral, because tungsten's high atomic density enables it to absorb X-rays more effectively than surrounding waste rock and appears as dense, distinct inclusions in XRT images.

Deep-Learning Software Enhances Detection

The testwork incorporated TOMRA’s newly launched CONTAIN™ software, a deep-learning module designed to identify mineralised inclusions within host rock particles. The software was deployed alongside TOMRA’s established OBTAIN™ detection technology.

Both samples were processed through a three-stage cascade sorting system. The first stage targeted high-grade inclusions, the second focused on lower-grade inclusions, while the third stage used the CONTAIN™ module to recover additional inclusion-bearing particles. The process generated four output streams comprising High Grade Inclusions, Low Grade Inclusions, CONTAIN™ Inclusions, and Waste.

Product Streams Generated from Both Samples

Results from the Conquest Pit sample reported 67.8% of the feed mass, with the remaining material classified as waste. Examination under ultraviolet light confirmed the presence of visible scheelite within the high-grade product fraction. For the Linka Stockpile sample, approximately 56.1% of the feed mass reported to product streams.

The sorted fractions have been returned to the company's metallurgical laboratory in Canada for independent analysis. Product fraction assay results are expected during the second half of July 2026 and will determine the grade and recovery performance achieved by the sorting process.

Potential Applications for the Linka Project

According to Viking, ore sorting may offer two potential pathways for enhancing the Linka Tungsten Project -

  • pre-concentration of run-of-mine feed to lift plant feed grade and
  • upgrading of existing grade stockpiles.

These initiatives form part of Viking's broader metallurgical program and will be incorporated into the conceptual processing flowsheet being developed by Mineral Technologies for a proposed 300,000-tonne-per-annum processing model.

Next Phase of Evaluation

Following the receipt of assay results, Viking plans to evaluate ore sorting effectiveness and quantify recovery and grade performance.

Additional work is expected to include assessing ore sorting applications for stockpile material, conducting gravity and flotation testwork on sorted products through Base Met Labs, reviewing the project's conceptual processing flowsheet, and obtaining equipment quotations from TOMRA.

VKA shares were trading at AUD 0.010 per share, up 5%, at the time of writing on 18 June 2026.


Disclaimer

The content, including but not limited to any articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, graphs, charts, animations and video (Content) is a service of Kalkine Media Pty Ltd (Kalkine Media, we or us), ACN 629 651 672 and is available for personal and non-commercial use only. The principal purpose of the Content is to educate and inform. The Content does not contain or imply any recommendation or opinion intended to influence your financial decisions and must not be relied upon by you as such. Some of the Content on this website may be sponsored/non-sponsored, as applicable, but is NOT a solicitation or recommendation to buy, sell or hold the stocks of the company(s) or engage in any investment activity under discussion. Kalkine Media is neither licensed nor qualified to provide investment advice through this platform. Users should make their own enquiries about any investments and Kalkine Media strongly suggests the users to seek advice from a financial adviser, stockbroker or other professional (including taxation and legal advice), as necessary. Kalkine Media hereby disclaims any and all the liabilities to any user for any direct, indirect, implied, punitive, special, incidental or other consequential damages arising from any use of the Content on this website, which is provided without warranties. The views expressed in the Content by the guests, if any, are their own and do not necessarily represent the views or opinions of Kalkine Media. Some of the images/music that may be used on this website are copyright to their respective owner(s). Kalkine Media does not claim ownership of any of the pictures displayed/music used on this website unless stated otherwise. The images/music that may be used on this website are taken from various sources on the internet, including paid subscriptions or are believed to be in public domain. We have used reasonable efforts to accredit the source wherever it was indicated as or found to be necessary.


AU_advertise

Advertise your brand on Kalkine Media

Sponsored Articles


Investing Ideas

Previous Next
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.