Indigenous Microorganisms Map Fluid Distribution in 4500-m-Deep Formations
在来微生物による深度4500mの地層内流体分布の可視化 (AI 翻訳)
Shuoliang Wang, Haitong Yang, Xiangyu Shao, Chunlei Yu, Honghui Quan, Liangliang Jiang
🤖 gxceed AI 要約
日本語
本研究は、CCUSや地熱エネルギーなどの地下技術において重要な流体漏洩監視の課題に対し、深部地層（深度3700～4500m、温度140～160℃）の微生物分布図を作成した。掘削切子を用いたDNAシーケンシングにより、微生物群集と検層データの相関から流体存在に敏感なマーカーを特定し、新しい監視手法を提案している。
English
This study presents a microbial distribution map for deep formations (3700–4500 m depth, 140–160°C) relevant to CCUS and geothermal monitoring. By correlating high-throughput DNA sequencing of drilling cuttings with well-logging data, it identifies microbial markers sensitive to fluid presence, offering a novel biological monitoring method for subsurface technologies.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではCCSの実証試験が進んでおり、深部地層のモニタリング技術は重要課題である。本手法は微生物を活用した低コスト監視の可能性を示し、日本のCCS安全性向上に貢献し得る。
In the global GX context
This microbial mapping approach addresses the global challenge of monitoring subsurface fluid leakage in CCUS and geothermal projects. It provides a biologically informed, cost-effective method that could complement existing geophysical monitoring, particularly valuable for deep geological storage sites.
👥 読者別の含意
🔬研究者:This paper demonstrates a novel method for deep subsurface microbial mapping and its correlation with fluid distribution, offering a foundation for further research in biogeochemical monitoring.
🏢実務担当者:CCUS operators can consider integrating microbial DNA analysis with conventional logging for early detection of fluid migration, enhancing safety and efficiency.
🏛政策担当者:Regulators may note the potential of biological monitoring as a supplementary tool for verifying storage integrity in CCS projects, warranting inclusion in future guidelines.
📄 Abstract（原文）
Summary As global energy systems transition toward sustainability, subsurface technologies such as carbon capture, utilization, and storage (CCUS), geothermal energy, and hydrogen storage are increasingly critical for mitigating carbon emissions. However, a key challenge in these technologies is the effective monitoring and prevention of subsurface fluid or gas leakage. With this study, we present one of the deepest and most extensive microbial distribution maps to date, covering reservoir formations at depths of 3700 m to 4500 m, where temperatures range from 140°C to 160°C. Unlike previous microbial mapping efforts, which are typically limited to shallower depths and lacking integration with logging curves, in this study we construct a microbial distribution map by collecting drilling cuttings and performing high-throughput deoxyribonucleic acid (DNA) sequencing. By correlating microbial community structures with well-logging data, we identified abundant and distinct microbial markers that respond sensitively to fluid presence and environmental changes within the formation. This mapping approach not only reveals the microbial distribution of the deep subsurface but also offers a biologically informed monitoring method for enhancing the safety and performance of deep geological applications.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.2118/231447-pafirst seen 2026-05-14 22:00:46
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