Fleet Space Technologies has announced three new features to its mineral exploration technology, Exosphere by Fleet®, designed to enhance and accelerate data-driven global mineral exploration efforts with machine learning (ML) capabilities and real-time survey diagnostics.
The introduction of new ML-powered features and real-time sensor diagnostics to ExoSphere enables faster on-site targeting decisions and provides access to greater subsurface insights before, during and after every survey, the company says.
Bringing together Fleet Space’s satellite constellation in low Earth orbit and patented seismic array technology, ExoSphere delivers 3D subsurface models of a survey area in days with near-zero environmental impact, according to the company. Over 35 global exploration companies have used the technology to complete hundreds of surveys for a wide range of commodity types across five continents, including Rio Tinto, Barrick Gold and Core Lithium, among many others.
“A future with near instantaneous access to subsurface insights that can lead to the next wave of mineral discoveries needed for the energy transition is within our grasp due to rapid advances in space technology,” co-Founder & CEO of Fleet Space Technologies, Flavia Tata Nardini, says. “Technologies like ExoSphere, and the ML-enabled, real-time features we are building for it, represent a major leap forward in the potential scale and speed of data-driven exploration while also reducing environmental impact.”
With ExoSphere’s 3D subsurface models and ML-enabled features, exploration customers will be able to leverage a variety of new subsurface insights on-demand to accelerate and enhance their data-driven exploration efforts, according to the company.
Outlined below are the new ExoSphere features available today and others that will arrive in the coming months, including Geological Sketch, Basement Depth, and Real-Time Diagnostics.
Geological Sketch
Starting today, customers using the ExoSphere platform will be able to access Geological Sketch – a powerful visualization tool that allows them to convey their understanding of the geology and lithology of their project. Using this visualisation, Fleet Space’s in-house team of geophysicists can refine the customer’s 3D model with a wider range of insights before, during, and after their survey is complete – enhancing model accuracy while also unlocking new insights to inform their targeting decisions, the company says.
Basement Depth Map
Understanding basement depth is critical since it is an important indicator of the economic potential of a project. In the coming months, ExoSphere will have a ML-enabled feature that will provide a projection of the basement depth based on customers’ ANT survey results (example below). Customers will also be able to upload other insights they have about the lithology and geology of the area to enhance the prediction on the ExoSphere platform. This gives customers an efficient way to evaluate and visualise the potential basement depth of a project as part of their data-driven exploration efforts, according to the company.
Real-Time Diagnostics
Fleet Space’s patented, space-enabled seismic sensors (Geodes) have been deployed across the globe. As part of their deployment, customers will soon be able to review the diagnostics on each individual Geode used as part of a survey in real time to determine if any corrective measures should be taken to optimise their performance while in the field, the company says. Real-Time Diagnostics is a powerful tool for on-site teams to make quick adjustments to the Geodes without the need to remove them from the survey area which is common with other methods.
The addition of these new features follows several other additions to ExoSphere last year, including the Sensitivity Model, Data Processing Report and Source Data Pack.
Alongside this Exosphere announcement, Fleet Space Technologies announced that it has been named an industrial affiliate of Stanford University’s Mineral-X program – a premiere research organisation combining deep expertise in geoscience, resource optimisation, and artificial intelligence to enable a resilient and decarbonised mineral supply chain. Through this collaboration with Stanford University’s Mineral-X, Fleet Space aims to advance research, unlock innovation and accelerate humanity’s clean energy future leveraging space technology.
