Tag Archives: Annelie Lundström

Minalyze and Colorado School of Mines team up to tackle advanced drill core analysis

Researchers at the Colorado School of Mines are teaming up with Minalyze AB to build an advanced geosciences research laboratory for non-destructive compositional analysis of drill core, the Sweden-based company says.

“This new laboratory establishes the Colorado School of Mines as a global leader in this emerging field with important applications in the development of Earth resources such as the critical minerals needed in the manufacturing of clean energy technologies,” Thomas Monecke, Director of the Center for Advanced Subsurface Earth Resource Models (CASERM) at the Colorado School of Mines, says.

“Minalyze’s choice of CASERM as a research partner is a testament to the calibre of our faculty and students we have, and the establishment of the new research facility will help our research team to advance solutions for the mining sector and contribute to our fundamental understanding of the geological processes resulting in the concentration of metals in the Earth’s crust.”

The new laboratory will support research conducted within CASERM, a collaborative research venture between the Colorado School of Mines and Virginia Tech supported by a consortium of mining companies and federal agencies aiming to transform the way geoscience data is used across the mining value chain.

Minalyze’s X-ray Fluorescence-backed CS scanner has been used throughout the mining sector for drill core analysis and, more recently, is being used in artificial intelligence-backed projects.

In addition to ore deposit research, the new core scanning laboratory will offer unparalleled opportunities for undergraduate and graduate student education, according to Minalyze.

Annelie Lundström, Chief Executive Officer of Minalyze AB, added: “We are excited to collaborate with the CASERM research team and look forward to helping build a strong future in Earth resource research at the Colorado School of Mines and Virginia Tech.”

Initial research using the new analytical capabilities will focus on the identification of elemental enrichment and depletion patterns around ore deposits that were caused by the interaction of ore-forming fluids with the host rocks during deposit formation, Minalyze explained. Identification of these vectors to ores requires the use of machine-learning techniques that are currently developed and tested by the CASERM research team.

In addition to data science, the research team is planning on conducting method developments involving the integration of additional sensors in the core scanner.

LKAB to trial AI-backed XRF drill core logging with help of Minalyze and Sentian

LKAB, Minalyze AB and Sentian say they have joined forces in a consortium to develop the latest technology for scanning drill core.

In March 2020, LKAB started a test with the Minalyzer CS drill core scanner where the goal was to improve the workflow for core logging – ie how the results of exploration drilling are analysed. The test led to a permanent installation in Kiruna (Sweden) and expansion to Malmberget where data from the Minalyzer CS is used to help geological logging of the drill core.

The consortium of LKAB, Minalyze and Sentian are now set to take the use of data to the next level when boreholes in LKAB’s deposits are to be investigated. The new artificial intelligence application being developed by the trio will make the analysis much faster, with the time to evaluate a drill core reduced from weeks to minutes, with increased accuracy.

This could see Minalyze’s X-ray Fluorescence-backed CS scanner analyse LKAB drill core while leveraging Sentain’s industrial artificial intelligence solutions to make real-time decisions relating to drilling and exploration activities.

The technology development driven by the consortium will be a world first, changing the entire industry, the companies say.

Jan-Anders Perdahl, Specialist at LKAB’s Exploration Department, said: “With the collaboration, the core logging takes a big step through machine learning and artificial intelligence. The geologist can, at an early stage, place greater focus on the parts of the core that show chemical or other changes. Opportunities are opened up to gain increased knowledge about ore formation processes and alterations in a completely different way than before. One can also get indications that you are close to mineralisation and where it may be located, and thereby streamline exploration.”

The technological leap will give LKAB’s staff increased competence, increased quality in and efficiency of the work, as well as reduced need for other analysis methods, according to the companies.

Annelie Lundström, CEO of Minalyze AB, said: “We are at an interesting time when the hardware to extract consistently high-resolution data from drill cores is available and we can now take the next step and generate value from data together with our customers. In this collaboration, we will develop algorithms that can map rock layers in so-called lithological logs with very high confidence. This can only be done by combining expertise from all three parties.

“The results from our collaboration will forever change how drill core logging takes place everywhere and will result in a more efficient, non-subjective and consistent process.”

Martin Rugfelt, Sentian CEO, added: “We see great power in the application of modern artificial intelligence to data from the mining industry and there is major potential in further combining our machine learning technology with Minalyze’s unique capabilities in data collection and analysis.”