首页|New Machine Learning Study Results from CGG Described (A new exploration tool in the search for native hydrogen and helium)
New Machine Learning Study Results from CGG Described (A new exploration tool in the search for native hydrogen and helium)
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NETL
NSTL
A new study on artificial intelligence is now available. According to news reporting out of CGG by NewsRx editors, research stated, “Native hydrogen and helium have been considered important resources in assisting the energy transition.” Our news journalists obtained a quote from the research from CGG: “Hydrogen and helium seeps have been reported worldwide, which may indicate large reserves within the subsurface. However, generation of hydrogen and helium is complex; poorly understood and constrained for both generation processes and migration. One source of native hydrogen is ultramafic rocks, which have experienced serpentinization together with water radiolysis. In contrast, helium generation occurs as the result of the radioactive decay of uranium and thorium present within radiogenically enriched basement. An exploration tool, dedicated to identifying areas with the geological settings and conditions favourable for native hydrogen and helium generation, has been developed and tested. Several databases have been created and integrated as part of this study (geological and geochemical generation models) to support and focus the search for both hydrogen and helium.”
NETL
NSTL
