CO2 Leakage Potentials Prediction based on Geostatistical Simulations

被引:0
作者
Han, Weon Shik [1 ]
Park, Eungy [2 ]
Kim, Kue-Young [3 ]
机构
[1] Univ Wisconsin, Milwaukee, WI 53201 USA
[2] Kyungpook Natl Univ, Daegu, South Korea
[3] Korea Inst Geosci & Min Res, Daegu, South Korea
来源
GHGT-11 | 2013年 / 37卷
关键词
CO2; sequestration; Leakage; Geostatiscs; STORAGE; SEQUESTRATION; HETEROGENEITY; INJECTION; IMPACT; SITE; OIL;
D O I
10.1016/j.egypro.2013.06.269
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
We studied the uncertainties in the predictions of supercritical CO2 plume behavior and leakage potentials within heterogeneous media. For this purpose, hypothetical heterogeneous field with different geostatistical features were developed. The heterogeneous field represents a weakly non-stationary field, in which the geostatistical patterns of the mid-depth geology are similar. Two conditional non-parametric geostatistical simulation models, the Sequential Indicator Simulation, SISIM, and Generalized Coupled Markov Chain, GCMC, were applied for the stochastic characterizations. Then, predictive CO2 plume migration simulations based on multiple stochastic realizations were performed and summarized (C) 2013 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:3742 / 3746
页数:5
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