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USGS uses machine learning to estimate vast lithium reserves in Arkansas

By PulseAugur Editorial · [1 sources] ·

A U.S. Geological Survey study has estimated that between 5 and 19 million tons of lithium reserves are located beneath southwestern Arkansas, utilizing machine learning and water testing. This potential reserve could meet projected global demand for lithium in car batteries nine times over by 2030 if commercially recoverable. The research focused on brines within the Smackover Formation, offering a way to extract valuable commodities from waste streams associated with oil and gas operations. AI

IMPACT This study highlights the potential for machine learning to identify critical resources, potentially impacting supply chains for energy transition technologies.

RANK_REASON The article details a scientific study using machine learning for resource estimation, fitting the research category. [lever_c_demoted from research: ic=1 ai=0.4]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

USGS uses machine learning to estimate vast lithium reserves in Arkansas

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The article details a scientific study using machine learning for resource estimation, fitting the research category. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. HN — machine learning stories TIER_1 English(EN) · antidnan ·

    USGS uses machine learning to show large lithium potential in Arkansas

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