Groningen-based Deep Atlas is commercialising a pioneering technology for mineralogy analysis and is bringing on Researchable as its software and data partner.
In brief
- Groningen-based Deep Atlas has been working since 2017 on a method to map the mineralogy of rock and to predict flow capacity deep underground using AI.
- The technology uses a hyperspectral camera that collects short-wave infrared (SWIR) data on core and rock samples, developed with the University of Twente and the University of Groningen.
- Researchable further develops the existing software and algorithms, automates processes and makes the technology market-ready, partly through automatically generated reports.
- The predictions are valuable for geothermal energy extraction, CO2 storage and the gas and oil industry, because they reduce uncertainty when planning drilling operations.
Revolutionary technology
Groningen-based Deep Atlas is commercialising a pioneering technology for mineralogy analysis. Since 2017 the company has been working on a method to map rock and predict flow capacity using artificial intelligence. Now Researchable is joining as its software and data partner, to further develop the existing software and algorithms and make them market-ready.
Deep Atlas has developed an analysis system that combines artificial intelligence with a hyperspectral camera. This project came about in collaboration with the University of Twente and the University of Groningen. The camera collects short-wave infrared (SWIR) spectral data from rock samples, which enables accurate predictions about mineralogy and flow behaviour. These insights are valuable for geothermal energy extraction, CO2 storage and the oil and gas industry.
This is highly interesting for reducing uncertainty when planning drilling operations.
Eduard van Pagée, Business Developer at Researchable
Vast volumes of data
The hyperspectral camera generates large datasets of rock images, processed by a machine learning algorithm from the University of Groningen. Future customers receive detailed datasets in user-friendly reports.
By further developing the technology, we can offer our customers ever better service.
Wijnand van Eijndthoven, Managing Director at Deep Atlas
Frequently asked questions
What does Deep Atlas's technology do?
Deep Atlas maps the mineralogy of rock using artificial intelligence and a hyperspectral camera. The goal is to predict the flow capacity of rock deep underground.
How does the Deep Atlas hyperspectral camera work?
The camera collects short-wave infrared (SWIR) spectral data on core and rock samples. That data forms the basis for accurate predictions about the mineralogy and flow behaviour of rock.
Why is this rock analysis technology valuable?
The predictions about flow capacity reduce uncertainty when planning drilling operations. That is of great value for the extraction of geothermal energy, CO2 storage and the gas and oil industry.
What is Researchable's role in the collaboration?
Researchable further develops the existing software and algorithms of Deep Atlas, automates processes and makes the technology market-ready. In doing so, the software automatically processes the large volumes of data into usable, automatically generated reports.
With which parties was the technology developed?
The analysis technology was developed in a partnership with the University of Twente and the University of Groningen. The machine learning algorithm that analyses the hyperspectral images was developed together with the University of Groningen.
