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

Authors :
Pawar, Rajesh
Dilmore, Robert
Chu, Shaoping
Zhang, Yingqi
Oldenburg, Curtis
Stauffer, Philip
Guthrie, George
Bromhal, Grant
Source :
Energy Procedia; May2017, Vol. 114, p4330-4337, 8p
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18766102
Volume :
114
Database :
Supplemental Index
Journal :
Energy Procedia
Publication Type :
Academic Journal
Accession number :
124609556
Full Text :
https://doi.org/10.1016/j.egypro.2017.03.1582