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

Journal Article · 17 August 2017 · Energy Procedia (Online)

DOI: https://doi.org/10.1016/j.egypro.2017.03.1582 · OSTI ID:1542822

Pawar, Rajesh ^[1]; Dilmore, Robert ^[2]; Chu, Shaoping ^[1]; Zhang, Yingqi ^[3]; Oldenburg, Curtis ^[3]; Stauffer, Philip ^[1]; Guthrie, George ^[1]; Bromhal, Grant ^[4]

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1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
2. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
4. National Energy Technology Lab. (NETL), Morgantown, WV (United States)

Managing risks at geologic CO₂ 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 CO₂ leakage and resulting impacts. The examples are used to demonstrate how different uncertain parameters affect overall performance objectives.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy (FE), Clean Coal and Carbon (FE-20)
• Grant/Contract Number: 89233218CNA000001
• OSTI ID: 1542822
• Report Number(s): LA-UR--18-26256
• Journal Information: Energy Procedia (Online), Journal Name: Energy Procedia (Online) Journal Issue: C Vol. 114; ISSN 1876-6102
• Publisher: ElsevierCopyright Statement
• Country of Publication: United States
• Language: English