An optimization approach to design monitoring schemes for CO₂ leakage detection

Journal Article · Sat Feb 20 00:00:00 EST 2016 · International Journal of Greenhouse Gas Control

DOI:https://doi.org/10.1016/j.ijggc.2016.01.040· OSTI ID:1603101

Yonkofski, Catherine M. R.  ^[1]; Gastelum, Jason A. ^[1]; Porter, Ellen A. ^[1]; Rodriguez, Luke R. ^[1]; Bacon, Diana H.  ^[1]; Brown, Christopher F. ^[1]

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1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

This paper demonstrates an approach to identify optimal monitoring designs that minimize the time to first detection of CO₂ leakage from a subsurface storage formation. This research is part of the National Risk Assessment Partnership (NRAP), a 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. Our approach applies a simulated annealing algorithm that searches the solution space by iteratively mutating potential monitoring designs. An example application is provided to demonstrate the effectiveness and efficiency of this method compared to an exhaustive search of the entire solution space. We took into account uncertainty by evaluating the performance of potential monitoring designs across a set of simulated leakage realization. A flexible two-tiered signature was implemented to infer that CO₂ leakage had occurred. This approach was ~50 times faster than an exhaustive search. A user-friendly tool, MDLD, is being developed for use on personal computers to make this method available to stakeholders, regulators, and researchers.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy (FE)
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 1603101
• Alternate ID(s): OSTI ID: 1439493
• Report Number(s): PNNL-SA-110925
• Journal Information: International Journal of Greenhouse Gas Control, Vol. 47, Issue C; ISSN 1750-5836
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

03 NATURAL GAS
carbon capture and sequestration
CO¬¬2 leakage detection
monitoring verification and accounting
MVA
monitoring systems design
risk and uncertainty