Prediction on leakage and rate characteristics of CO<sub>2</sub> storage

刘永忠1

doi:10.3969/j.issn.0438-1157.2012.04.033

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Prediction on leakage and rate characteristics of CO₂ storage

更新时间：2025-12-10

- Prediction on leakage and rate characteristics of CO₂ storage
- CIESC Journal Issue 4, Pages: 1226-1233(2012)
- 作者机构：
  
  1西安交通大学化学工程系,陕西,西安
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2012.04.033
  CLC： Q021.1
- Online First：05 April 2012，
  
  Published：05 April 2012
- 稿件说明：
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刘永忠1. Prediction on leakage and rate characteristics of CO₂ storage[J]. CIESC Journal, 2012, (4): 1226-1233. DOI: 10.3969/j.issn.0438-1157.2012.04.033.
DOI：

刘永忠1. Prediction on leakage and rate characteristics of CO₂ storage[J]. CIESC Journal, 2012, (4): 1226-1233. DOI: 10.3969/j.issn.0438-1157.2012.04.033. DOI：

摘要

地下封存CO2泄漏的评估方法和风险控制是碳捕集和封存（CCS）技术亟待解决的核心问题。为了揭示封存CO2泄漏过程的影响因素及其特性，本文建立两相流驱替过程数学模型描述封存CO2的泄漏过程，采用COMSOL Multiphysics 3.5a软件进行数值模拟。通过对基准问题及其解的拓展，分别对注入井与泄漏通道之间距离、泄漏通道半径、泄漏通道渗透率、CO2注入速率和CO2注入深度等因素对封存CO2泄漏过程的影响特性进行研究，通过过程模拟和数据分析得到了影响因素的定量函数关系。研究表明：封存CO2的渐近泄漏速率与注入井与泄漏通道之间距离倒数呈对数线性关系，与泄漏通道半径呈抛物线型关系，与注入速率呈线性关系；泄漏通道的绝对渗透率是CO2泄漏速率控制的关键因素，而CO2注入深度的增加并不能有效地降低CO2泄漏速率。本文的计算模型和数值模拟结果不仅揭示了地下封存CO2泄漏过程的影响因素与泄漏速率之间的定量关联规律，还可为地下封存CO2的封存地点选择、泄漏速率估计和泄漏风险评估提供工程分析方法和计算工具。

Abstract

Evaluation method and risk control of CO2 leakage are key issues for carbon capture and storage（CCS).In order to reveal affecting factors and features of CO2 leakage during injection

a two-phase flow model was proposed to describe the leakage process

and numerical simulations were conducted using a commercial software COMSOL Multiphysics 3.5a.Based on comparison and extension of its solutions for a benchmark problem

the affecting factors

including distance between the injection well and leaky path

radius and permeability of leaky path

injection rate and injection depth

were investigated. The quantitative relationships between leakage rates and impact factors were obtained from simulations and data analysis.The results show that asymptotic leakage rates of CO2 are linearly dependent on the reciprocal of distance between the injection well and leaky path

are quadratic with radius of leak path

and are linear with respect injection rates.The permeability of leaky path is the key factor controlling CO2 leakage

whereas the increase of injection depth has little effect on decreasing CO2 leakage rates.The proposed model and simulation results not only reveal the relationship between CO2 leakage rates and impact factor quantitatively

but also provide analytical method and computational tools for site selection

evaluation of leakage and risk management of CO2 injection into subsurface formations.

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Prediction on leakage and rate characteristics of CO2 storage

DOI：10.3969/j.issn.0438-1157.2012.04.033

摘要

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Prediction on leakage and rate characteristics of CO₂ storage