2014
DOI: 10.1016/j.ijrmms.2014.08.003
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Fault reactivation case study for probabilistic assessment of carbon dioxide sequestration

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Cited by 18 publications
(5 citation statements)
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“…It is a common understanding that the stress field variation may induce fault slips (Pereira et al 2014;Sainoki andMitri 2014, 2015a;Feng et al 2015;Ma et al 2019;Li et al 2021;Taghipour et al 2021). However, to obtain the accurate distribution and evolution of a stress field is a challenge due to the heterogeneity of rock mass and the limitation of stress measurement methods (Hubbert and Willis 1957;Brown and Hoek 1978;Zoback et al 2003).…”
Section: Stress and Displacement Fieldmentioning
confidence: 99%
“…It is a common understanding that the stress field variation may induce fault slips (Pereira et al 2014;Sainoki andMitri 2014, 2015a;Feng et al 2015;Ma et al 2019;Li et al 2021;Taghipour et al 2021). However, to obtain the accurate distribution and evolution of a stress field is a challenge due to the heterogeneity of rock mass and the limitation of stress measurement methods (Hubbert and Willis 1957;Brown and Hoek 1978;Zoback et al 2003).…”
Section: Stress and Displacement Fieldmentioning
confidence: 99%
“…A distribuição log-normal ficou em segundo lugar no ranqueamento, e apresentou-se como a melhor distribuição para as parcelas araucária e imbuia, apesar de ser o pior ajuste obtido para a parcela fogo. A aplicação da função log-normal para modelagem de atributos do solo também foi utilizada por Pereira et al (2014) para modelar a probabilidade de falhas geológicas resultantes das alterações nas propriedades rochosas devido ao processo conhecido como captura e sequestro de carbono, feito de forma artificial por injeção em rochas profundas que, segundo os autores, pode causar a reativação de falhas geológicas. Esses autores apontam que a teoria das probabilidades é uma ferramenta poderosa para alcançar um bom equilíbrio entre as consequências de conhecimento incerto e o custo da redução dessa incerteza.…”
Section: Conclusõesunclassified
“…[11][12][13][14][15] Coupled hydromechanical modeling is typically used for evaluation of the poroelastic effect of injection as well as the resulting geomechanical outcomes such as the potential for fracturing in reservoirs, analysis of slippage along faults, surface uplift, and associated seismicity. 8,[16][17][18][19][20][21][22] Different numerical approaches including finite element method, finite difference method, discrete element method, and boundary element method have been used to address in situ stress changes and rock deformation. [23][24][25][26][27][28] Combinations of different methods have also been developed to address the poroelastic response of injection.…”
Section: Introductionmentioning
confidence: 99%