Fracture Network Quantification for Enhanced Reservoir Characterization in CO2 Storage Sites

Conference · Wed Mar 05 04:00:00 EST 2025

DOI:https://doi.org/10.2172/2526561· OSTI ID:2526561

Kumar, Adarsh ^[1]; Harbert, William ^[1]; Myshakin, Evgeniy ^[1]; Liu, Guoxiang ^[2]; Cunha, Luciane ^[2]; Siriwardane, Hema ^[2]

---

1. NETL Site Support Contractor, National Energy Technology Laboratory
2. NETL

Presentation slides on “Fracture Network Quantification for Enhanced Reservoir Characterization in CO2 Storage Sites” for the CCUS 2025 conference held in Houston, Texas March 3-5, 2025. Accurate reservoir characterization is fundamental for the safe and efficient operation of carbon capture, utilization, and storage (CCUS) projects. This process is not only critical during initial site selection but also plays a key role in continuously updating reservoir geomodels throughout injection operations to effectively manage subsurface storage sites. Our primary objective is to develop a comprehensive understanding of fracture networks within CO2 injection reservoirs, which are critical for predicting the behavior of injected fluids, ensuring storage integrity post-injection, and mitigating risks such as leakage or induced seismicity.

• Research Organization: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy and Carbon Management (FECM); USDOE Office of Fossil Energy and Carbon Management (FECM), Office of Carbon Management (FE-20)
• OSTI ID: 2526561
• Country of Publication: United States
• Language: English

Related Subjects

CO2 Storage
Fracture Network Image
artifical intelligence / machine learning (AI/ML)