Affiliation:
1. University of North Dakota
2. Amazon Web Services
Abstract
Abstract
This study presents a novel application of Meta-Analysis to comprehensively investigate the underground storage dynamics of CO2 and H2, addressing the limitations posed by existing experimental data and laboratory-scale experiments.
Our methodology capitalizes on published experimental datasets concerning reservoir and seal rock integrity, deeply investigating the effects of injected CO2 and H2 on rock properties.
Structured in three pivotal stages, our research first consolidates a wide array of studies elucidating factors influencing rock integrity, encompassing fluid properties, rock type, and inherent rock characteristics such as mineralogy and geomechanical properties. Subsequently, a systematic analysis of this aggregated data unveils critical insights into the multifaceted influencing factors. Finally, this culminates in an enriched comprehension of reservoir and seal rock behaviors pertinent to underground storage.
Our findings demonstrate the efficacy of this approach in accurately capturing detailed experimental datasets, facilitating a systematic analysis of influencing factors, and ultimately enhancing understanding of CO2 and H2 injection dynamics for underground storage applications. This comprehensive understanding also enhances our ability to predict and mitigate potential risks associated with CO2 and H2 injection, optimizing reservoir performance and maximizing hydrocarbon recovery.