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Simulation of muon radiography for monitoring CO2 stored in a geological reservoir

机译:利用μ子射线照相技术监测地质储层中二氧化碳的模拟

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摘要

Current methods of monitoring subsurface CO2, such as repeat seismic surveys, are episodic and require highly skilled personnel to acquire the data. Simulations based on simplified models have previously shown that muon radiography could be automated to continuously monitor CO2 injection and migration, in addition to reducing the overall cost of monitoring. In this paper, we present a simulation of the monitoring of CO2 plume evolution in a geological reservoir using muon radiography. The stratigraphy in the vicinity of a nominal test facility is modelled using geological data, and a numerical fluid flow model is used to describe the time evolution of the CO2 plume. A planar detection region with a surface area of 1000 m(2) is considered, at a vertical depth of 776 m below the seabed. We find that 1 year of constant CO2 injection leads to changes in the column density of less than or similar to 1%, and that the CO2 plume is already resolvable with an exposure time of less than 50 days. (C) 2015 Elsevier Ltd. All rights reserved.
机译:当前的监测地下CO2的方法(例如重复地震勘测)是偶发性的,需要高技能的人员来获取数据。先前基于简化模型的仿真显示,μ子射线照相可以自动进行以连续监测CO2的注入和迁移,此外还可以降低总体监测成本。在本文中,我们提供了使用μ子射线照相术监测地质储层中二氧化碳羽流演变的模拟。使用地质数据对名义测试设施附近的地层进行建模,并使用数值流体模型来描述二氧化碳羽流的时间演化。考虑在海床以下776 m的垂直深度处具有1000 m(2)表面积的平面检测区域。我们发现,连续注入1年的二氧化碳会导致色谱柱密度的变化小于或接近1%,并且二氧化碳羽流已经可以解决,暴露时间少于50天。 (C)2015 Elsevier Ltd.保留所有权利。

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