Carbon Storage Modeling Approaches Strengthening Subsurface Assessment Reliability for Long Term Geologic Containment

• Author(s): Lymmy Ogbidi; Benneth Oteh
• Paper ID: 1712853
• Page: 367-387
• Published Date: 30-11-2019
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 5 November-2019

Abstract

Carbon capture and storage (CCS) technologies are essential for mitigating climate change by reducing atmospheric CO? emissions. Effective long-term geologic containment of carbon dioxide (CO?) in subsurface reservoirs is crucial to the success of CCS projects. This abstract explores various carbon storage modeling approaches that enhance the reliability of subsurface assessments for geologic CO? containment over extended periods. The primary modeling strategies include reservoir simulation models, geomechanical models, and geochemical models, each contributing unique insights into the behavior and stability of CO? in storage sites. Reservoir simulation models simulate fluid flow and pressure changes within the reservoir, enabling accurate predictions of CO? migration, trapping mechanisms, and potential leakage paths. Geomechanical models assess the integrity of cap rock seals and fault zones to ensure the physical containment of CO? under varying geological conditions. Geochemical models focus on the chemical interactions between CO?, formation water, and rock minerals, which influence long-term CO? dissolution, mineral trapping, and the potential for reservoir corrosion. Integrating these models with real-time monitoring data enhances the accuracy of predictions and supports adaptive management strategies for reservoir performance. The reliability of these models is further improved by advanced data assimilation techniques, machine learning algorithms, and high-resolution geological characterization, all of which allow for continuous model refinement and better decision-making during storage site development and operation. These approaches are critical for assessing the suitability of potential storage sites, minimizing risks, and ensuring the safe, effective, and permanent containment of CO?. As such, the development of more robust and accurate modeling techniques will significantly contribute to the scalability and sustainability of CCS technologies, ultimately playing a key role in global efforts to combat climate change.

Keywords

Carbon Capture and Storage (CCS), carbon dioxide (CO?) Containment, Subsurface Modeling, Reservoir Simulation, Geomechanics, Geochemistry, Long-Term Storage, Geologic Containment, Monitoring Data, Machine Learning.

Citations

IRE Journals:
Lymmy Ogbidi, Benneth Oteh "Carbon Storage Modeling Approaches Strengthening Subsurface Assessment Reliability for Long Term Geologic Containment" Iconic Research And Engineering Journals Volume 3 Issue 5 2019 Page 367-387

IEEE:
Lymmy Ogbidi, Benneth Oteh "Carbon Storage Modeling Approaches Strengthening Subsurface Assessment Reliability for Long Term Geologic Containment" Iconic Research And Engineering Journals, 3(5)