地中炭素貯蔵のための地震監視の改善方法を発見(New study finds a way to improve seismic monitoring for geologic carbon storage)

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2024-07-11 ロスアラモス国立研究所(LANL)

ロスアラモス国立研究所の研究により、新しい岩石物理モデルが地質貯留サイトでの二酸化炭素(CO2)変化の特性をより詳細に把握できることが明らかになり、地質炭素貯留の監視がより信頼性を持つようになる。このモデルは、CO2が貯留岩に与える影響を圧縮波およびせん断波速度の変化として正確にモデル化できる。従来のBiot-Gassmann方程式では非線形応力依存性や化学反応が考慮されず、長期的なCO2の影響を正確に表現できなかった。この新モデルは、弾性特性の大きな変化を示し、実験結果と一致する。これにより、CO2の貯蔵および漏洩検出が向上し、炭素貯留がより効果的かつ環境に安全になる。

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地中炭素貯留の信頼できるモニタリングのためのCO2岩石物理モデリング CO2 rock physics modeling for reliable monitoring of geologic carbon storage

Neala Creasy,Lianjie Huang,Erika Gasperikova,William Harbert,Tom Bratton & Quanlin Zhou
Communications Earth & Environment Published:17 June 2024
DOI:https://doi.org/10.1038/s43247-024-01493-6

figure 4

Abstract

Monitoring, verification, and accounting (MVA) are crucial to ensure safe and long-term geologic carbon storage. Seismic monitoring is a key MVA technique that utilizes seismic data to infer elastic properties of CO2-saturated rocks. Reliable accounting of CO2 in subsurface storage reservoirs and potential leakage zones requires an accurate rock physics model. However, the widely used CO2 rock physics model based on the conventional Biot-Gassmann equation can substantially underestimate the influence of CO2 saturation on seismic waves, leading to inaccurate accounting. We develop an accurate CO2 rock physics model by accounting for both effects of the stress dependence of seismic velocities in porous rocks and CO2 weakening on the rock framework. We validate our CO2 rock physics model using the Kimberlina-1.2 model (a previously proposed geologic carbon storage site in California) and create time-lapse elastic property models with our new rock physics method. We compare the results with those obtained using the conventional Biot-Gassmann equation. Our innovative approach produces larger changes in elastic properties than the Biot-Gassmann results. Using our CO2 rock physics model can replicate shear-wave speed reductions observed in the laboratory. Our rock physics model enhances the accuracy of time-lapse elastic-wave modeling and enables reliable CO2 accounting using seismic monitoring.

1702地球物理及び地球化学
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