南加州圣华金盆地南部潜在二氧化碳储存地点诱发地震危险性评估

IF 6.5 3区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Arjun Kohli, Yunan Li, Tae Wook Kim, Anthony R. Kovscek
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引用次数: 0

摘要

加州的中央山谷为深层盐层储存二氧化碳提供了巨大的机会。我们对San Joaquin盆地南部的一个潜在注入点进行了诱发地震活动危险性评估,并对其进行了18年0.68 MtCO2/年的注入和100年的监测。为了建立地质力学模型,解决主要断层上的应力问题,我们绘制了场地周围30公里半径范围内的应力、断层和地震活动性图。通过对二氧化碳羽流的三维流体力学模拟,我们计算出了这些断层上压力随时间的变化,并确定了安全注入的条件。由于没有任何地下成像,我们还使用大量断层随机分布和一系列地质力学参数进行了概率断层滑动分析。研究结果表明,通过控制压力柱的大小、迁移和强度,可以使断层滑动概率的变化最小化。我们还建立了近20年来该地点周围的地震目录,并描述了地震活动的自然模式。我们利用这些结果建立了评估存储期间电位诱发事件的标准,并开发了交通灯响应系统。该研究代表了一阶程序来评估二氧化碳储存所带来的地震危害,并考虑了水文和地质力学参数的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Induced Seismicity Hazard Assessment for a Potential CO2 Storage Site in the Southern San Joaquin Basin, CA
California’s Central Valley offers vast opportunities for CO2 storage in deep saline aquifers. We conducted an induced seismicity hazard assessment for a potential injection site in the southern San Joaquin Basin for 18 years of injection at 0.68 MtCO2/yr and 100 years of monitoring. We mapped stress, faults, and seismicity in a 30 km radius around the site to build a geomechanical model and resolve the stresses on major faults. From a 3D hydromechanical simulation of the CO2 plume, we calculated the change in pressure over time on these faults and determined the conditions for safe injection. Lacking any subsurface imaging, we also conducted a probabilistic fault slip analysis using numerous random distributions of faults and a range of geomechanical parameters. Our results show that the change in probability of fault slip can be minimized by controlling the size, migration, and magnitude of the pressure plume. We also constructed a seismic catalog for the last 20 years around the site and characterized the natural patterns of seismicity. We use these results to establish criteria for evaluating potential-induced events during the storage period and to develop a traffic light response system. This study represents a first-order procedure to evaluate the seismic hazards presented by CO2 storage and incorporate uncertainties in hydrological and geomechanical parameters.
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来源期刊
CiteScore
8.70
自引率
10.40%
发文量
31
期刊介绍: Georisk covers many diversified but interlinked areas of active research and practice, such as geohazards (earthquakes, landslides, avalanches, rockfalls, tsunamis, etc.), safety of engineered systems (dams, buildings, offshore structures, lifelines, etc.), environmental risk, seismic risk, reliability-based design and code calibration, geostatistics, decision analyses, structural reliability, maintenance and life cycle performance, risk and vulnerability, hazard mapping, loss assessment (economic, social, environmental, etc.), GIS databases, remote sensing, and many other related disciplines. The underlying theme is that uncertainties associated with geomaterials (soils, rocks), geologic processes, and possible subsequent treatments, are usually large and complex and these uncertainties play an indispensable role in the risk assessment and management of engineered and natural systems. Significant theoretical and practical challenges remain on quantifying these uncertainties and developing defensible risk management methodologies that are acceptable to decision makers and stakeholders. Many opportunities to leverage on the rapid advancement in Bayesian analysis, machine learning, artificial intelligence, and other data-driven methods also exist, which can greatly enhance our decision-making abilities. The basic goal of this international peer-reviewed journal is to provide a multi-disciplinary scientific forum for cross fertilization of ideas between interested parties working on various aspects of georisk to advance the state-of-the-art and the state-of-the-practice.
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