Rapid screening of saline aquifers for CO2 sequestration: A focus on storage capacity and injectivity index

IF 4.6 0 ENERGY & FUELS
Milad Balvayeh , Ali Ramezani , Behzad Rostami
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引用次数: 0

Abstract

This study aims to develop a robust and accurate method for evaluating the storage capacity and injectivity index for CO2 storage in saline aquifers. The screening out procedure includes defining objective functions assessing candidates' feasibility, such as storage capacity and injectivity. Aquifers should be able to store a large volume of CO2 and enable efficient CO2 injection. To achieve this, each objective's technical parameters need to be identified and understood. Researchers reviewed past studies to identify global key parameters and their ranges. Based on the information, a series of simulations were conducted using design of experimental and statistical techniques to further investigate the most important parameters. The results of the simulations show that compressibility, depth, and pressure gradient have the greatest impact on storage capacity. Graphs were created using these parameters to quickly estimate storage efficiency. Within the studied parameter range, the maximum storage efficiency, defined as the ratio of storable pore volume to total pore volume, was approximately 14 %. For injectivity, permeability, thickness, and depth were identified as the most important parameters. The flow capacity, which is the product of permeability and thickness (kh), was used for screening in this section. It was determined that structures with kh values less than 900 mD-m are almost uneconomical for projects. Conversely, flow capacity values above 15000 mD-m indicate favorable conditions for project implementation. For other values, the economic feasibility of the project can be assessed without further simulation by using the estimated equations and graphs derived from the study. Finally, after reviewing and comparing the model results with operational cases, it was determined that the presented model has the ability to be quickly and practically used in the field.
快速筛选含盐含水层对二氧化碳的封存:侧重于储存能力和注入指数
本研究旨在建立一种可靠而准确的方法来评估含盐含水层的CO2储存容量和注入指数。筛选过程包括确定目标函数,评估候选方案的可行性,如存储容量和注入能力。含水层应该能够储存大量的二氧化碳,并能够有效地注入二氧化碳。为了实现这一点,需要确定和理解每个目标的技术参数。研究人员回顾了过去的研究,以确定全球关键参数及其范围。在此基础上,利用实验设计和统计技术进行了一系列的模拟,以进一步研究最重要的参数。模拟结果表明,压缩率、深度和压力梯度对存储容量的影响最大。使用这些参数创建图形以快速估计存储效率。在研究的参数范围内,最大存储效率(可存储孔隙体积与总孔隙体积之比)约为14%。对于注入能力,渗透率、厚度和深度被认为是最重要的参数。本节采用渗透率与厚度(kh)乘积的流动能力进行筛分。确定kh值小于900 mD-m的结构在工程中几乎是不经济的。反之,流量大于15000 mD-m则表明项目实施条件有利。对于其他值,项目的经济可行性可以通过使用研究得出的估计方程和图表来评估,而无需进一步模拟。最后,将模型结果与实际案例进行了回顾和比较,确定了所提出的模型具有快速和实际应用的能力。
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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