The transition to clean energy is expected to unleash unprecedented demand for critical minerals in the coming decades.
Meeting this exponential surge in demand will require locating and extracting high-grade mineral systems efficiently, sustainably and profitably.
Neftex® Prospect - a cloud-based solution, empowers your team to discover and develop the most sustainable mineral projects that will aid the world’s transition to clean energy by leveraging robust global geological frameworks built from data, regional knowledge, and data-driven models.
Connect data and workflows to seamlessly collaborate in a fully digital, cloud-based environment.
Accelerate learning and fill knowledge gaps - enable your team to help make accurate decisions with a multi-disciplinary digital resource.
Expand your portfolio of clean energy minerals by confidently venturing into new frontiers with comprehensive tectonic insights.
Access robust tools, comprehensive tectonic insights and integrated workflows to help you efficiently scout for clean energy and low carbon economy mineral systems deep in the subsurface and across new frontiers.
Synchronize & Share Insights
Leverage proven and applicable subsurface workflows and models developed for the hydrocarbon industry.
Empower Your Team
Get easy access to integrated geoscience information and insights from anywhere - office, at home, or in the field.
Drive the Energy Transition
Get an unparalleled global view of Earth's evolution (over 2 billion years of tectonic content) to access inputs for a mineral system analysis and a screening approach to exploration.
Understand fundamental mineral forming processes using predicative global models built on tectonics, sea level, paleoclimate and geological structure.
Augment your team with a digital team member to help them understand all potential elements and factors driving mineralization.
Expand your portfolio of low carbon economy minerals by leveraging the established Neftex® Predictions subsurface framework to help you look deeper and beyond known occurrences.
