Optimizing Monitoring Designs under Alternative Objectives

Journal Article · Wed Jan 01 00:00:00 EST 2014 · Energy Procedia (Online)

DOI:https://doi.org/10.1016/j.egypro.2014.11.380· OSTI ID:1829169

Gastelum, Jason A.; Porter, Ellen A.

This paper describes an approach to identify monitoring designs that optimize detection of CO2 leakage from a carbon capture and sequestration (CCS) reservoir and compares the results generated under two alternative objective functions. The first objective function minimizes the expected time to first detection of CO2 leakage, the second more conservative objective function minimizes the maximum time to leakage detection across the set of realizations. The approach applies a simulated annealing algorithm that searches the solution space by iteratively mutating the incumbent monitoring design. The approach takes into account uncertainty by evaluating the performance of potential monitoring designs across a set of simulated leakage realizations. The approach relies on a flexible two-tiered signature to infer that CO2 leakage has occurred. This research is part of the National Risk Assessment Partnership, a U.S. Department of Energy (DOE) project tasked with conducting risk and uncertainty analysis in the areas of reservoir performance, natural leakage pathways, wellbore integrity, groundwater protection, monitoring, and systems level modeling.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 1829169
• Alternate ID(s): OSTI ID: 1209050
• Journal Information: Energy Procedia (Online), Journal Name: Energy Procedia (Online) Vol. 63 Journal Issue: C; ISSN 1876-6102
• Publisher: Elsevier
• Country of Publication: Netherlands
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
monitoring design
optimization
carbon capture and sequestration
CCS