Abstract: Reducing the uncertainty of risk assessment in geologic CO<sub>2</sub> sequestration by conditional simulation of permeability fields and monitoring data assimilation (AGU Fall Meeting 2018)

Reducing the uncertainty of risk assessment in geologic CO₂ sequestration by conditional simulation of permeability fields and monitoring data assimilation

Bailian Chen¹, Dylan R Harp², Zhiming Lu¹ and Rajesh Pawar³, (1)Los Alamos National Laboratory, Earth and Environmental Sciences Division, Los Alamos, NM, United States, (2)The Freshwater Trust, Portland, United States, (3)Los Alamos National Laboratory, Los Alamos, United States

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Reducing the uncertainty of risk assessment in geologic CO2 sequestration by conditional simulation of permeability fields and monitoring data assimilation

Reducing the uncertainty of risk assessment in geologic CO₂ sequestration by conditional simulation of permeability fields and monitoring data assimilation