Groningen-based Deep Atlas is currently commercializing its revolutionary technology. The geological innovator has been working since 2017 on a new method to image the mineralogy of rocks and eventually aims to predict the flowability of rock samples in the deep subsurface with artificial intelligence.
To serve the market even better, the geological innovator has chosen to partner with software and data partner Researchable. The partnership focuses on the further development, automation and market readiness of the existing software and algorithms. Researchable specializes in the development and system architecture of data-intensive applications.
Deep Atlas has developed a revolutionary analysis technology in which they use artificial intelligence to analyze rocks using a hyperspectral camera. The technology was developed in a partnership with the University of Twente (UT) and the University of Groningen (RUG). The hyperspectral camera enables the collection of short-wave infrared (SWIR) spectral data on core and rock samples. This data forms the basis for making accurate predictions about mineralogy and flow behavior. Providing data and predictions on rock flowability is of great value for geothermal energy extraction, CO2 storage, and the gas and oil industry.
"If you compare the technology of Deep Atlas to existing techniques, it really is a revolutionary technology because much better insight can now be gained about how rocks are constructed," explains Eduard van Pagée, Business Developer at Researchable. "This is very interesting for reducing uncertainty when planning drilling for geothermal energy, CO2 storage or gas and oil, for example."
Huge amounts of data
The camera owned by the Groningen-based Deep Atlas provides hyperspectral images across the short-wave infrared spectrum of rocks. These images consist of huge amounts of data that are then analyzed by a machine learning algorithm developed jointly with the University of Groningen (RUG). Future clients of Deep Atlas can soon expect continuous detailed datasets, brought together in a user-friendly report that will help to better understand the deep subsurface. In order to automatically process all the data into useful information in the form of automatically generated reports, the help of software company Researchable has been enlisted.
Wijnand van Eijndthoven, Managing Director at Deep Atlas, is looking forward to the collaboration: "We asked Researchable to take the existing software to the next level and automate various processes. By further developing the technology, we can offer our clients an increasingly better service. I am looking forward to working with Researchable because they have a lot of experience with data intensive software development."
Researchable is a software development and data company dedicated to helping organizations in developing software applications with analytics components such as prediction, machine learning, real-time intelligence and statistical analysis. The company was founded in 2018 by former computer scientists at the University of Groningen to help other scientists automate their data collection and analysis. Due to increasing interest from the business world to do more with data, Researchable started focusing on the business world as well. Today, Researchable is a technical partner for organizations that have the ambition to innovate through data and data intensive software applications. They work with organizations such as Vitens, UMCG, Leiden University, the Ministry of Defense and the University of Twente. They are also ISO27001 certified.
Deep Atlas has been pioneering a method to predict the mineralogy and permeability of rocks in the deep subsurface with artificial intelligence since 2017. Using a hyperspectral camera, they collect data of minerals and rock permeability. They are processing this data into a comprehensive and user-friendly report that is going to help better understand the deep subsurface. The resulting insights are of particular interest to companies in the oil and gas, geothermal and CO2 storage industries. By modeling the subsurface, drilling will be more accurate and thus Deep Atlas will contribute to better investment decisions, as well as to accelerating the energy transition. The team behind Deep Atlas has decades of experience in the gas and oil industry (including Shell and Schlumberger) and in early 2022 they successfully raised a first round of investment from NOM, G-Force Capital and RUG Ventures.
In this white paper you will learn:
- What you have to deal with when you start working with investors
- Differences and similarities between bank funding, subordinated loan and equity capital
- In what ways NOM as an investor can help you
Please note that this whitepaper is only available in Dutch at the moment. We are in the process of translating this whitepaper.