Both AI and machine learning algorithms will enable Xcalibur to offer its clients higher-value-added products for utilizing their natural resources, with a focus on efficiency, sustainability, and environmental respect.

The AI Lab that both research teams are developing aims to transform the mapping of natural capital on a global scale. This pioneering project will address key challenges of country mapping in integrating geophysical and borehole data, and in quantitively geological interpretation using advanced artificial intelligence techniques. Additionally, the lab will focus on automating the generation of labeled data and creating accurate economic models as part of the Smart Regional Interpretation Solution for the sustainable management of natural resources, thus supporting the global energy transition.

The project will tackle several major challenges, including integrating geophysical and borehole data into actionable formats like 3D geological and prospectivity maps at large scale, effectively capturing and using qualitative geological interpretations in machine learning applications, and Large Dataset Management with advanced software and computational infrastructure.

To address these challenges, this collaboration will develop Innovative Spatial Information Methods including Automated Spatial Domaining and Interactive Training Label Generation. We will further advance 3D Multiphysics Inversion and 3D Mineral Prospectivity Mapping and develop Economic Models for Natural Resources and Smart Regional Interpretation. All research developments will be transformed into Xcalibur Smart Mapping systems with Advanced Software and Infrastructures.

“This collaboration between Stanford and Xcalibur Smart Mapping not only represents a significant advancement in the Smart Country Mapping Solution.  The application of artificial intelligence in aerial geophysics also underscores our shared commitment to preserving and understanding our planet’s natural capital. Through the synergy of scientific knowledge and innovative technology, we are charting a path towards a future where the study of natural capital is not only more accurate, but also more sustainable, enabling us to protect and harness our resources more effectively for future generations” has stated Jorge Urios. Innovation Director at Xcalibur Smart Mapping.

Teo Hage, Head of Technology at Xcalibur Smart Mapping, commented: « this collaboration with Stanford is, on one hand, a significant boost to our Smart Country Mapping solution; on the other, the combination of our new sensor technologies and machine learning solutions is charting the path towards a future where the surveying of natural capital, at scale, is quick and accurate”  

“Mineral-X is delighted to contribute Xcalibur’s mission to map country-scale natural resources. In this project, we will collaborate to develop new technology based on 3D modeling, artificial intelligence and machine learning to automate and facilitate the expedient processing of geophysical data directly into a three-dimensional view of a country’s subsurface resources”, has added Jef Caers, Director and Professor at Mineral-X, Stanford University are the project leaders.

« We have established our own AI Lab to develop innovative services for our clients, and the agreement with Stanford will undoubtedly enhance our capabilities by leveraging cutting-edge research. This collaboration will enable us to offer higher value-added products for the optimal utilization of natural resources, focusing on efficiency, sustainability, and environmental stewardship », expressed Andrés Blanco, CEO at Xcalibur Smart Mapping.

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