作者: Emad A. Al-Khdheeawi , Stephanie Vialle , Ahmed Barifcani , Mohammad Sarmadivaleh , Stefan Iglauer
DOI: 10.1016/J.EGYPRO.2017.03.1587
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摘要: Abstract CO2 geo-storage (CGS) is a key element of anthropogenic greenhouse gas management. Technically, in CGS, captured from large point-source emitters and injected deep underground into geological formations. In this context, it important to accurately predict the storage capacity target formation, as well associated migration plume versus time. This estimation heavily relies on reservoir scale simulations, which require mesoscale physical input parameters. One parameter, critically affects these variables CO2-wettability rock; however, has received little attention despite its importance; specifically, influences residual fluid saturations, capillary pressures, cluster morphologies, CO2-brine interfacial areas, relative permeabilities. The objective study thus investigate, using high performance impact wettability patterns for various types reservoirs. We therefore performed 3D reservoir-scale injection simulations typical at 1200 m depth multiphase, multicomponent, non-isothermal numerical simulator TOUGH2 combined with properties module ECO2 M system CO2-NaCl-H2O. homogeneous model consisted 87500 cells had porosity 0.15, horizontal permeability 1000 mD, vertical ratio 0.1. was one year rate 0.1 Mt/yrs behaviour simulated next 10 years. Five different scenarios were evaluated, namely strongly water-wet, weakly water- wet, intermediate-wet, CO2-wet conditions. demonstrate that highly significant evolution plume, both time space. Importantly, results show reached top surface (-800 m) after only 3 years (after end injection) case reservoir, but reservoir. better retained less rock: -869 intermediate-wet -913 water-wet -990 At all times, migrated furthest most contained Furthermore, shape significantly affected by rock wettability: rain-drop like appearance looks candle-like case.