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Numerical Study on the Impact of Reservoir Heterogeneity on Utilization of CO2 and Optimization Strategies in Low-Permeability Reservoirs

Impresion
EUR 53,00

E-Book
EUR 37,00

Numerical Study on the Impact of Reservoir Heterogeneity on Utilization of CO2 and Optimization Strategies in Low-Permeability Reservoirs (Tienda española)

Jiashun Luo (Autor)

Previo

Lectura de prueba, PDF (3,2 MB)
Indice, PDF (700 KB)

ISBN-13 (Impresion) 9783736979888
ISBN-13 (E-Book) 9783736969889
Idioma Inglés
Numero de paginas 142
Laminacion de la cubierta mate
Edicion 1.
Lugar de publicacion Göttingen
Lugar de la disertacion TU Clausthal
Fecha de publicacion 25.03.2024
Clasificacion simple Tesis doctoral
Area Ciencias Ingeniería
Palabras claves CCUS, enhanced oil recovery (EOR), low-permeability, reservoir heterogeneity, CO2 foam injection, geringe Durchlässigkeit, Heterogenität der Lagerstätte, CO2-Schaum-Injektion
Descripcion

The intensification of the global climate crisis has thrust the imperative of controlling greenhouse gas emissions into the spotlight, commanding the attention of individuals, industries, and nations alike. Reducing carbon emissions and maximizing carbon utilization have assumed paramount significance in the contemporary industrial landscape. Within this overarching context, Carbon Capture, Utilization, and Storage (CCUS) technology has emerged as a transformative and pivotal means of addressing the multifaceted challenges posed by escalating emissions.
Among the diverse CCUS methodologies, enhanced oil recovery (EOR) has distinguished itself as an up-and-coming technique, offering economic viability and environmental impact. Simultaneously, enhanced gas recovery (EGR) has recently gained momentum due to its remarkable potential as a negative carbon technology.
This study employs an integrated approach to gain a deeper and more precise understanding of how reservoir heterogeneity influences the geological utilization of CO2.
It commences with the utilization of FLAC3D and the “gast” tool in R language to generate comprehensive data fields that quantitatively characterize heterogeneity in terms of porosity standard deviation and correlation length. Subsequently, the research conducts a comprehensive and methodical analysis of how heterogeneity impacts CO2 gas displacement.