Fast assessment of CO2 plume characteristics using a connectivity based proxy

Author:

Jeong Hoonyoung,Srinivasan Sanjay

Funder

US Department of Energy

BP

Chevron

ExxonMobil

Foundation CMG

Halliburton/Landmark Graphics

Luminant

Shell

Statoil

USGS

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,General Energy,Pollution

Reference43 articles.

1. Reservoir Engineering Handbook;Ahmed,2006

2. Results from Sleipner gravity monitoring: Updated density and temperature distribution of the CO2 plume;Alnes;Energy Procedia, 10th International Conference on Greenhouse Gas Control Technologies,2011

3. Prediction of uncertainty in reservoir performance forecast;Ballin;J. Can. Pet. Technol.,1992

4. Impact of model complexity on CO2 plume modeling at Sleipner;Bandilla;Energy Procedia,2014

5. Improved particle tracking proxy for assessing plume migration during geologic sequestration;Bhowmik;Energy Procedia, 12th International Conference on Greenhouse Gas Control Technologies, GHGT-12,2014

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