January 20, 2022

NRAP-Open-IAM Multisegmented Wellbore Reduced-Order Model


Geologic carbon storage is one of the promising strategies to mitigate climate change by reducing the emission of carbon dioxide to the atmosphere. As part of the National Risk Assessment Partnership (NRAP), a systems-level stochastic analysis tool called the open source integrated assessment model, NRAP-Open-IAM, has been developed to estimate and manage the risk of containment loss at a geological carbon sequestration site. NRAP-Open-IAM contains several wellbore leakage model components that estimate the fluid leak rate that may occur through compromised legacy wells due to the increase in pressure resulting from CO2 injection activities. Coupled to a reservoir component model, these components estimate the leakage of CO2 and/or brine from a storage reservoir to overlying aquifer layers and the atmosphere through legacy wells. This report presents the theoretical framework and quality testing of the multisegmented wellbore reduced-order model. The model allows for segmenting of the legacy wells passing through the overlying stratigraphy into several intervals to simulate a site’s specific stratigraphic and hydrogeologic properties. For quality assurance, the analytical model is validated against numerical reservoir flow simulations for single and multiple aquifer(s) models. The results indicate that the model accurately predicts the transport of two-phase fluids (brine and injected CO2) through the well over time. A detailed description of the model helps users to understand the model and provides a basis for future improvements.

Published: January 20, 2022


Baek S., D.H. Bacon, and N.J. Huerta. 2021. NRAP-Open-IAM Multisegmented Wellbore Reduced-Order Model Richland, WA: Pacific Northwest National Laboratory.