Back to Search Start Over

Informing Geologic CO2 Storage Site Management Decisions under Uncertainty: Demonstration of NRAP's Integrated Assessment Model (NRAP-IAM-CS) Application

Authors :
Philip H. Stauffer
Shaoping Chu
Robert Dilmore
Yingqi Zhang
George D. Guthrie
Grant Bromhal
Curtis M. Oldenburg
Rajesh J. Pawar
Source :
Energy Procedia. 114:4330-4337
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Managing risks at geologic CO 2 storage sites requires making decisions based on the quantitative predictions of long-term performance that not only take into account various subsurface hydrologic, geochemical processes and interactions but also the related uncertainties. The US DOE (United States Department of Energy) funded National Risk Assessment Partnership (NRAP) has developed a quantitative approach and a model to predict the long-term behavior of GCS sites. The approach uses an integrated assessment model (NRAP-IAM-CS) that couples reduced order models (ROMs) for various GCS components (such as storage reservoir, wells, seals, and groundwater aquifer) in a stochastic modeling framework that allows for rapid simulations of entire system behavior over thousands of years while probing uncertainties. We demonstrate application of NRAP-IAM-CS using two examples that focus on CO 2 leakage and resulting impacts. The examples are used to demonstrate how different uncertain parameters affect overall performance objectives.

Details

ISSN :
18766102
Volume :
114
Database :
OpenAIRE
Journal :
Energy Procedia
Accession number :
edsair.doi...........dec237d2c8883721e9add5c23f85a6f6
Full Text :
https://doi.org/10.1016/j.egypro.2017.03.1582