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Green Hydrogen H2 News

Getech’s AI-Powered Approach to Predict Natural Hydrogen Deposits

Anela DoksoBy Anela Dokso07/08/20232 Mins Read
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As the world intensifies its efforts to combat climate change and transition towards a low-carbon future, the quest for clean and sustainable energy sources has become paramount. In this pursuit, natural hydrogen is emerging as a promising contender, and pioneering geological data specialist Getech is taking the lead in harnessing the potential of this low-carbon energy resource.

By combining genetic systems knowledge of natural hydrogen with cutting-edge data analysis and machine learning, Getech aims to predict the location of natural hydrogen deposits in the subsurface, unlocking a new frontier in clean energy.

Natural hydrogen, also known as white or gold hydrogen, has garnered significant attention as a low-carbon, cost-efficient energy source that can drive industrial decarbonization. Unlike fossil fuels, natural hydrogen does not produce any greenhouse gases, making it an environmentally friendly alternative. With recent investments from prominent figures like Microsoft founder Bill Gates, the interest in exploring and tapping into natural hydrogen reserves has intensified.

Leading the way in this endeavor is Getech, a company that specializes in geospatial data analysis and computational modeling. Getech’s innovative approach combines knowledge of natural hydrogen’s genetic systems with its proprietary data platform, Globe, and advanced machine learning algorithms. By categorizing sources, migration paths, reservoir traps, and seals, and integrating them with data tools, Getech generates favorability maps that pinpoint potential natural hydrogen hotspots in the subsurface.

Getech’s approach focuses on three primary sources of natural hydrogen formation. The first is serpentinization, a process involving the hydration of iron-rich rocks or minerals. The second is radiolysis, which splits water molecules during the radioactive decay of uranium or thorium. The third source involves the decay of organic matter. By understanding these processes and analyzing geological data, Getech can identify and quantify potential new discoveries of natural hydrogen.

As the world accelerates its energy transition, natural hydrogen offers a clean, versatile, and sustainable energy solution. Getech’s pioneering data-driven approach to predict natural hydrogen deposits is a significant step towards unlocking this potential energy resource. By identifying favorable locations for exploration and development, Getech’s technology plays a crucial role in accelerating the adoption of natural hydrogen and shaping a greener future.

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