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Lab-on-a-chip insights: advancing subsurface flow applications in carbon management and hydrogen storage.

ラボオンチップによる洞察:炭素管理と水素貯蔵における地下流動応用の進展 (AI 翻訳)

Junyi Yang, Nikoo Moradpour, Lap Au-Yeung, P. Tsai

Lab on a Chip📚 査読済 / ジャーナル2026-01-07#CCUSOrigin: Global
DOI: 10.1039/d5lc00428d
原典: https://doi.org/10.1039/d5lc00428d

🤖 gxceed AI 要約

日本語

このレビュー論文は、CO2回収・利用・貯留(CCUS)や地下水素貯蔵(UHS)におけるマイクロ流体技術(ラボオンチップ)の役割を解説。細孔スケールでの流体挙動可視化により、CCUSや水素貯蔵の最適化に貢献。機械学習との統合による予測能力向上にも言及。

English

This review highlights microfluidic (lab-on-a-chip) technologies for advancing subsurface fluid dynamics in CCUS, enhanced oil recovery, and underground hydrogen storage. It discusses visualization of pore-scale phenomena, integration with machine learning, and optimization of storage strategies.

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

日本はCCUSと水素貯蔵の実証試験を推進中。本レビューは地中貯留の効率化に資する技術基盤を提供するが、直接的な政策連動は弱い。日本のGX実践者にとっては、貯留技術の微視的メカニズム理解に有用。

In the global GX context

This review provides a comprehensive overview of microfluidic experiments for CCUS and hydrogen storage, relevant to global subsurface storage optimization. While not specific to any jurisdiction, it informs technical pathways for emission reduction and energy transition.

👥 読者別の含意

🔬研究者:Microfluidic methods offer pore-scale insights for CCUS and hydrogen storage researchers.

📄 Abstract(原文)

The transition to sustainable energy is crucial for mitigating climate change impacts, with hydrogen and carbon storage and utilization technologies playing pivotal roles. This review highlights the integral and useful role of microfluidic technologies in advancing subsurface fluid dynamics for carbon capture, utilization, and storage (CCUS), enhanced oil recovery (EOR), and underground hydrogen storage (UHS). In particular, microfluidic platforms provide clear and insightful visualization of fluid-fluid and fluid-solid interactions at the pore scale, crucial for understanding and further optimizing processes for CO2 sequestration, hydrogen storage, and oil displacement in various geological formations. We first discuss the development of lab-on-a-chip devices that accurately mimic subsurface conditions, allowing detailed studies of complex phenomena including viscous fingering, capillary trapping, phase behavior during CCUS and EOR processes, and the hysteresis effects unique to hydrogen storage cycles. We also discuss the dynamics of CO2 gas and foam in enhancing oil recovery and the innovative use of hydrogen foam to mitigate issues associated with pure hydrogen gas storage. The integration of advanced imaging, spectroscopic techniques, and machine learning (ML) with microfluidic experiments has enriched our understanding and opened new pathways for predictive capabilities and operational optimization in CCUS, EOR, and UHS applications. We further emphasize the critical need for continued research into microfluidic applications, e.g., incorporating state-of-the-art ML to optimize microfluidic experiments and parameters, and UHS enhancement through favorable microbial activities and suppression of reactions in H2 foam, aiming at refining storage strategies and exploiting the full potential of these technologies towards a sustainable energy future.

🔗 Provenance — このレコードを発見したソース

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。