Uncertainties in practical simulation of CO2 storage

被引:85
|
作者
Nordbotten, J. M. [1 ]
Flemisch, B. [1 ]
Gasda, S. E. [1 ]
Nilsen, H. M. [1 ]
Fan, Y. [1 ]
Pickup, G. E. [1 ]
Wiese, B. [1 ]
Celia, M. A. [1 ]
Dahle, H. K. [1 ]
Eigestad, G. T. [1 ]
Pruess, K. [1 ]
机构
[1] Univ Bergen, Dept Math, PB 7800, N-5020 Bergen, Norway
关键词
CO2; storage; Simulation; Numerical methods; Upscaling; Uncertainty;
D O I
10.1016/j.ijggc.2012.03.007
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Practical simulation of CO2 storage in geological formations inherently involves decisions concerning relevant physics, upscaling, and numerical modeling. These decisions are unavoidable, since the full problem cannot be resolved by existing numerical approaches. Here, we report on the impact of three distinct approaches to make the problem computationally tractable: reduced physics, upscaling, and non-converged discretizations. Compounding these different strategies, we have used a benchmark study to try to assess the impact of an expert group on the results of the numerical simulations. In order to restrict the scope of the investigation, the geometric and geological description of the storage aquifer was simplified to the greatest extent possible. The different strategies applied to simplify the problem, lead to significantly deviating answers when addressing relevant storage questions. Furthermore, there is room for interpretation when complex simulation results are simplified to the type of higher-level information sought in decision making processes. Our experience leads us to conclude that, important questions relating to CO2 storage cannot be predicted convincingly to satisfactory accuracy with numerical simulation tools, even for highly idealized problems. This emphasizes the need for real-time monitoring and history matching during injection operations. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:234 / 242
页数:9
相关论文
共 50 条
  • [1] Uncertainties in practical simulation of CO2 storage (vol 9C, pg 234, 2012)
    Nordbotten, J. M.
    Flemisch, B.
    Gasda, S. E.
    Nilsen, H. M.
    Fan, Y.
    Pickup, G. E.
    Wiese, B.
    Celia, M. A.
    Dahle, H. K.
    Eigestad, G. T.
    Pruess, K.
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2013, 13 : 235 - 235
  • [2] Simulation of CO2 storage in saline aquifers
    Ghanbari, S.
    Al-Zaabi, Y.
    Pickup, G. E.
    Mackay, E.
    Gozalpour, F.
    Todd, A. C.
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2006, 84 (A9): : 764 - 775
  • [3] Simulation of CO2 storage in a heterogeneous aquifer
    Ukaegbu, C.
    Gundogan, O.
    Mackay, E.
    Pickup, G.
    Todd, A.
    Gozalpour, F.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 2009, 223 (A3) : 249 - 267
  • [4] Molecular simulation of CO2 adsorption on kaolinite: Insights into geological storage of CO2
    Wang, Yichen
    Ding, Ziwei
    Cao, Zhou
    Han, Fangchun
    Wang, Yang
    Cheng, Hongfei
    APPLIED CLAY SCIENCE, 2024, 258
  • [5] The impact of heterogeneity on the distribution of CO2: Numerical simulation of CO2 storage at Ketzin
    Lengler, U.
    De Lucia, M.
    Kuehn, M.
    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2010, 4 (06) : 1016 - 1025
  • [6] Numerical simulation study on CO2 storage in coalbed
    Qiao, Ling
    Deng, Cunbao
    Fan, Yongpeng
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2020, 42 (04) : 446 - 459
  • [7] Correlating Uncertainties of a CO2 to CO Microfluidic Electrochemical Reactor: A Monte Carlo Simulation
    Kannan, Vishvak
    Raman, K. Ashoke
    Fisher, Adrian
    Birgersson, Erik
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, 58 (42) : 19361 - 19376
  • [8] Metal-CO2 Batteries at the Crossroad to Practical Energy Storage and CO2 Recycle
    Xie, Jiafang
    Zhou, Zhen
    Wang, Yaobing
    ADVANCED FUNCTIONAL MATERIALS, 2020, 30 (09)
  • [9] A Practical and Innovative Workflow to Support the Numerical Simulation of CO2 Storage in Large Field-Scale Models
    Machado, Marcos Vitor Barbosa
    Delshad, Mojdeh
    Sepehrnoori, Kamy
    SPE RESERVOIR EVALUATION & ENGINEERING, 2023, 26 (04) : 1541 - 1552
  • [10] A Practical and Innovative Workflow to Support the Numerical Simulation of CO2 Storage in Large Field-Scale Models
    Vitor Barbosa Machado M.
    Delshad M.
    Sepehrnoori K.
    SPE Reservoir Evaluation and Engineering, 2023, 26 (04): : 1541 - 1552