Journal of Petroleum Science & Engineering2022,Vol.208PE10.DOI:10.1016/j.petrol.2021.109788

Numerical modeling and evaluation of lab-scale CO2-injection experiments based on electrical resistivity measurements

Desy Caesary Jongwook Kim Soo Jin Jang
Journal of Petroleum Science & Engineering2022,Vol.208PE10.DOI:10.1016/j.petrol.2021.109788

Numerical modeling and evaluation of lab-scale CO2-injection experiments based on electrical resistivity measurements

Desy Caesary 1Jongwook Kim 2Soo Jin Jang1
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作者信息

  • 1. Department of Energy and Mineral Resource Engineering,Sejong University,South Korea
  • 2. Korea Electric Power Corporation,South Korea
  • 折叠

Abstract

This paper presents numerical models for validating electrical resistivity(ER)-derived carbon dioxide(CO2)saturation obtained from lab-scale CO2 flooding experiments.ER assessments have generally been implemented using Archie's empirical equation,but it is only applicable to non-saline water,homogeneous medium,and non-conductive minerals.Therefore,it is necessary to develop a reliable numerical model to scale up experimental results by calibrating uncertain properties,such as capillary pressure,relative permeability,and aquifer heterogeneity.Cylindrical sandstone samples from the homogeneous Berea sandstone and heterogeneous Tako sandstone were prepared to evaluate CO2 transport within brine-saturated media.The reliability of the numerical method was verified by the trajectories of ER-derived CO2 saturation(S_(CO2))in the homogeneous Berea sandstone,which showed similar profiles and a root mean square error(RMSE)of 0.0503.The aquifer heterogeneity of the Tako sandstone influenced CO2 transport,i.e.,its frontal velocity,by producing retardation at the less porous layers,whereas the homogeneous Berea sandstone showed consistent movement of the CO2 front.The numerical simulation of the heterogeneous Tako sandstone confirmed the effects of the less porous layers and matched the experimental profiles of S_(CO2),with an RMSE of 0.0421.The developed models enable validation of ER-derived S_(CO2)at the early stage and forecasting of the CO2 distribution in heterogeneous saline aquifers.

Key words

CO2 sequestration/Archie equation/Scaling up/Numerical model/Experimental validation/Saline aquifer

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出版年

2022
Journal of Petroleum Science & Engineering

Journal of Petroleum Science & Engineering

ISSN:0920-4105
被引量2
参考文献量34
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