Getech has launched a solution with the aim of pinpointing sites that are rich in natural hydrogen.
Getech has done this by blending knowledge of natural hydrogen’s genetic systems with its proprietary data platform, products and machine learning analysis, allowing it to predict the location of natural hydrogen deposits in the subsurface. It highlighted the swathes of evidence that suggest vast reserves of clean, geologic hydrogen below the earth’s surface, which can accelerate the energy transition.
There are a variety of ways natural hydrogen can form, with Getech homing in on three main sources of serpentinisation, involving the hydration of iron-rich rocks and minerals, radiolysis, which is where water molecules split during radioactive decay of uranium or thorium, and finally, the decay of organic matter.
Getech’s approach to pinpointing these sites involves categorising sources, migration paths, reservoir traps and seals. These are then integrated with its data tools, which include the Global digital platform, through which the earth’s subsurface is modelled, with computational modelling and AI machine learning providing favourability maps. From these, Getech is then able to see the “sweet spots” for developing natural hydrogen.
