Scientists from Ohio State University used an algorithm to detect oval or circular depressions that appear around areas where the so-called zloty . Similar depressions have been found in Brazil, France, Mali, Namibia, Russia and the United States. However, finding them is difficult because they can hide, for example, under vegetation.
Artificial intelligence searches for “golden hydrogen”
To more easily identify oval or circular depressions, the researchers compiled a list of known depressions and trained an algorithm using available remote sensing data. Research has shown it can effectively map the surface expression of potential subsurface hydrogen reservoirs around the world, as well as establish benchmarks for further research on hydrogen sites – .
Joachim Moortgat, associate professor of geosciences at Ohio State University, explains that interest in natural hydrogen has skyrocketed after governments began investing in alternative, clean sources. – Hydrogen is a very attractive energy source. If you burn it, the only byproduct will be water, and unlike wind or solar energy, hydrogen can be stored and transported, which is why all industries are trying hard to make this change, said Moortgat, quoted in the release.
How to find hydrogen? Artificial intelligence can help
The so-called golden hydrogen is a naturally occurring element that is formed in the earth’s crust. Detecting areas containing hydrogen is difficult because they can easily be confused with other circular land features, such as lakes, golf courses or crop circles.
It is believed that access to low-emission energy resources can transform the global energy industry. Joachim Moortgat, however, points out that hydrogen detection requires the development of new search tools. One of these tools is artificial intelligence.
Source: Gazeta
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