CO2 Mineral Trapping in Basaltic Formation During CO2 Storage

Z. Hamdi, Raja Zuhaili Aimran Raja Zainal Raffik, O. Talabi, U. Patel, E. Mackay, M. Bataee
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引用次数: 1

Abstract

The rise in global warming is due to the high emissions of greenhouse gases (GHG) around the world. Carbon dioxide (CO2) gas emissions, a by-product from the petroleum industry, is contributors to climate change. One technology that may help curb CO2 gas emissions is injecting the gas into the subsurface reservoir. In this study, CO2 mineral trapping behaviour and its reactions within a wet basaltic rock containing Olivine mineral are captured and simulated in a full field numerical simulation model. A 2-stage approach was planned to develop the full field numerical model. In the first stage, a single cell model was developed, assessed and matched to the literature experiments with several assumptions considered and applied. Following this, the second stage involved developing a full field model to observe and analyse the distribution and concentration of CO2 during injection, as well as its sequestration as a solid phase (i.e., mineral trapping). The overall volume ratio of injected CO2 versus water was also assessed to ensure enough CO2 were injected into the basalt rock ensuring clear distribution of CO2 in the rock either in dissolved, trapped, or mobile state. In this study, the injected volume covered 4% of the total water volume. Results show that mineralization occurs faster than expected when CO2 gas was introduced to the wet basaltic rock especially near the CO2 injector wellbore. The mineralization speed depends on the reaction rate, modelling (cell) surface area and volume as well as the reaction rate coefficient where it was tuned to match the experimental results. The time required for the CO2 component to travel within the rock was also assessed to give a clear picture of the CO2 distribution where it took 10 years to reach 1000 ft away from the injector wellbore within a 440 ft thick reservoir.
CO2储存过程中玄武岩地层中CO2矿物的捕获
全球变暖的加剧是由于全球温室气体(GHG)的大量排放。石油工业的副产品二氧化碳(CO2)气体排放是造成气候变化的原因之一。一项可能有助于抑制二氧化碳气体排放的技术是将气体注入地下储层。在这项研究中,捕获了含橄榄石矿物的湿玄武岩中的CO2矿物捕获行为及其反应,并在全场数值模拟模型中进行了模拟。计划采用两阶段方法开发全油田数值模型。在第一阶段,开发了一个单细胞模型,评估并与文献实验相匹配,考虑并应用了几个假设。在此之后,第二阶段涉及开发一个全油田模型,以观察和分析注入过程中二氧化碳的分布和浓度,以及二氧化碳作为固相的封存(即矿物捕获)。还评估了注入二氧化碳与水的总体体积比,以确保有足够的二氧化碳注入玄武岩中,确保岩石中二氧化碳的清晰分布,无论是溶解状态、圈闭状态还是流动状态。在本研究中,注入水量占总水量的4%。结果表明,当向湿玄武岩中引入CO2气体时,特别是在CO2注入井附近,成矿作用比预期的要快。矿化速度取决于反应速率、模型(细胞)表面积和体积,以及调整反应速率系数以匹配实验结果。研究人员还评估了二氧化碳成分在岩石中运移所需的时间,以获得二氧化碳分布的清晰图像。在440英尺厚的油藏中,二氧化碳成分需要10年的时间才能到达距离注入井眼1000英尺的地方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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