Globally-trusted seismic interpretation specialists Geoteric are proud to announce a donation of multiple AI software licenses to the Department of Geosciences and Natural Resource Management at the University of Copenhagen to deepen their understanding of subsurface fault systems. The partnership highlights Geoteric’s commitment to driving innovation in academia and contributing to critical societal challenges.

The University of Copenhagen is looking to leverage Geoteric AI Fault Interpretation to accelerate two transformative research initiatives in collaboration with Aarhus University and the Geological Survey of Denmark and Greenland (GEUS). The projects will benefit from Geoteric’s advanced AI-powered tools to tackle complex geological challenges that impact resource management, climate adaptation, and infrastructure development.

The University of Copenhagen is looking to leverage Geoteric AI Fault Interpretation to accelerate two transformative research initiatives

Vivian Kvist Johannsen, Head of the department of Geosciences and Natural Resource Management said:

“Geoteric’s advanced 3D AI faults algorithms are expected to be particularly well-suited for our projects, as they allow for precise identification of faults at various scales and can be combined in multiple ways to handle the large volume of seismic data we work with. We expect this will improve the speed, accuracy, and consistency of our geological interpretations across regional distances.”

David Macaulay, VP of Sales EMEA at Geoteric commented:

“We are thrilled to support the University of Copenhagen’s innovative research efforts. By providing access to our advanced AI tools, we aim to empower researchers to make breakthroughs that address both academic and environmental challenges,”

About Geoteric

Geoteric is a leading provider of AI-driven seismic interpretation software. By significantly reducing subsurface project timelines, energy companies benefit from accelerated asset development, reduced risk in well delivery, and enhanced production. Operators are also advancing sustainability efforts and achieving net-zero goals by streamlining carbon capture and storage (CCS) activities, enabling better geological decisions today for a more sustainable tomorrow.

About the research projects

DECODE-3D project:

The DECODE-3D project aims to develop a dynamic 3D geological model for onshore Denmark, which will update automatically as new data and methods become available. The model will include data from shallow, intermediate and deep geophysical datasets from different sources and with varying resolution. This model will support critical societal tasks, including climate adaptation, resource management, and infrastructure development. The national 3D geological model will include a fault database, where automated workflows and data formats will be optimal. To ensure consistent geological interpretations across various scales, an automated workflow is preferred over a manual approach. We are collaborating with Aarhus University and GEUS on this project, where each part is responsible for delivering model elements and interpretations at the different scales, ranging from pixel-scale (shallow) to seismic scale.  

NOARG projectThis project is also a Geocenter collaboration between the University of Copenhagen, the University of Aarhus, and GEUS. The project's overall goal is to enhance the understanding of subsurface fault systems and their influence on tunnel valley formation in the Danish sector of the North Sea, which directly impacts offshore wind farm construction and subsurface stability assessments. The team is working on the integration of automated fault mapping procedures, crucial due to the large volume of data involved, to establish faster and more accurate identification of structural elements and ensure consistency in interpretations across regional distances. Geoteric, offering multiple 3D neural network algorithms, is particularly well-suited for this task, as it allows the identification of faults at different scales. Moreover, the option to combine these algorithms in various ways may further enhance the precision and efficiency of fault detection. This work addresses significant knowledge gaps regarding tunnel valleys and will provide critical insights for offshore construction. The research is expected to lead to publications in high-impact journals such as Quaternary Science Review, Geomorphology, and Marine Geology, with preliminary findings presented at international conferences like EGU and AGU.

If you would like to learn more about how Geoteric can accelerate your subsurface workflows, or, for a demo, get in touch with us info@geoteric.com.