Getech, a world leading locator of subsurface resources, has launched a solution to pinpoint sites rich in natural #hydrogen.
Combining knowledge of natural hydrogen’s genetic systems with #Getech’s proprietary data platform, products and machine learning analysis, the firm can predict the location of natural hydrogen deposits in the subsurface.
Getech’s approach categorises sources, migration paths, reservoir traps and seals which are then integrated with its data tools including the Globe digital platform, which models the earth’s subsurface and uses computational modelling and AI machine learning to provide favourability maps, identifying the sweet spots for developing natural hydrogen.
Richard Bennett, Executive Chairman of Getech said: “Natural hydrogen has huge potential as an efficient energy source as it has no greenhouse gas emissions on combustion and can therefore replace carbon intensive fuels in many applications as part of the energy transition.
We combine our deep understanding of the processes behind the formation of natural hydrogen resources with our global platform of geological, geophysical and past-climate data to identify the locations of potential new discoveries. These results can be invaluable during initial exploration screenings that help locate and quantify sites of interest and de-risk subsequent development phases.”
More from statement: https://is.gd/pn2dOx
