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Design of Experiment and Response Surface Modeling of CO 2 Sequestra- tion in Deep Saline Aquifers
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Baozhong Zhang, Yehui |
| Copyright Year | 2011 |
| Abstract | When field data are limited, stratigraphic models are used instead of fully heterogene- ous models (FHM) to represent deep saline aquifers in numerical simulations of CO 2 storage. This study evaluates parameter sensitivity and prediction uncertainty of three stratigraphic models of decreasing complexity (i.e., facies, depositional, formation) against that of a FHM. The stratigraph- ic models are created by upscaling the intrinsic permeability of the FHM. For select simulation outcomes (i.e., CO 2 mass profiles, gas plume shape, brine leakage), parameter sensitivity and pre- diction uncertainty are compared among the models, with the FHM serving as a reference. The analysis is conducted using the computationally efficient design of experiment (DoE) and response surface (RS) methodology. Results suggest that when a competent caprock exists (permeability <1x10 -4 mD), the facies and depositional models are capable of capturing the most important sensi- tivity parameters of the FHM, i.e., residual gas saturation, heterogeneity variance, and salinity. Us- ing the important parameters identified by DoE, RS modeling then suggests that the same two models also capture the ranges of predictions in mobile gas, trapped gas, dissolved gas, and brine leakage. The formation model is less accurate in capturing the sensitivity and prediction ranges of the FHM, although it is accurate in predicting brine leakage into the overlying formation. Thus, in simulating CO 2 storage in deep saline aquifers, optimal complexity of the site stratigraphic model should be selected based on the prediction metric of interest. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://hydrologydays.colostate.edu/Abstracts_11/Zhang_abs.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
