NRAP-Open-IAM Multisegmented Wellbore Reduced-Order Model: Improvement and Quality Assurance

Technical Report · Wed Mar 01 04:00:00 EST 2023

DOI:https://doi.org/10.2172/1988285· OSTI ID:1988285

Baek, Seunghwan ^[1]; Bacon, Diana H. ^[1]; Huerta, Nicolas J. ^[1]

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

The multisegmented wellbore model (MSW) semi-analytically estimates the amount of CO₂ and brine leakage from a leaking legacy well by segmenting it into intervals to simulate site-specific stratigraphic and hydrogeologic properties. The model is a component of the National Risk Assessment Partnership Open-Source Integrated Assessment Model (NRAP-Open-IAM), which was developed to perform risk assessment for geologic CO₂ storage. The new wellbore leakage model, which uses deep learning networks for a caprock segment, was developed to enhance the analytical MSW. The model was trained and validated using a synthetic data set of Subsurface Transport Over Multiple Phases (STOMP) multiphase flow simulations from various geological, well attribute, and operational conditions to ensure its quality. The results demonstrate that the model is more accurate than the existing model in predicting the transport of two-phase fluids (brine and injected CO₂) through the well. This report provides a detailed explanation of the model development and quality assurance.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy and Carbon Management (FECM)
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1988285
• Report Number(s): PNNL--34107
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
97 MATHEMATICS AND COMPUTING
NRAP-Open-IAM
geological carbon sequestration
risk analyses
wellbore leakage