CO2 Trapping Potential of Reservoir Rocks by Digital Rock Physics
Publikationen: Thesis / Studienabschlussarbeiten und Habilitationsschriften › Masterarbeit
Standard
2023.
Publikationen: Thesis / Studienabschlussarbeiten und Habilitationsschriften › Masterarbeit
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
TY - THES
T1 - CO2 Trapping Potential of Reservoir Rocks by Digital Rock Physics
AU - Ritter, Rene
N1 - no embargo
PY - 2023
Y1 - 2023
N2 - Carbon Capture and Storage (CCS) refers to a chain of technologies to capture CO2 from industrial processes. It is possible to store carbon dioxide on an industrial scale and significantly lower greenhouse gas emissions. A thorough understanding of reservoir characteristics and trapping mechanisms is essential to ensure practical application and the highest level of storage safety. Routine and Special Core Analysis (SCAL) programs evaluate fluid-fluid and rock-fluid characteristics and offer insights into displacement and trapping efficiency. However, SCAL studies require a lot of time and resources. Improvements in imaging methods and processing capacity in Digital Rock Physics (DRP) have made it possible to simulate elementary two-phase-flow processes promptly while accounting for differences in reservoir characteristics. Computing various fluid-fluid and rock-fluid combinations effectively by calibrating the simulations using experimental data is possible. This thesis aims to demonstrate how the Morphological Method (MM) can extract trapping curves. We intend to provide essential insights into the viability and efficiency of CCS as a carbon dioxide storage option by utilizing DRP and computational modeling. The GeoDict simulation tool, mainly the Satudict module, is used to conduct simulations. We use the morphological approach to model drainage and imbibition processes previously developed by the department. The modified MM is applied to assess the capillary trapping potential of CO2 in reservoir rocks. A particular focus is on analyzing the influence of the Contact Angle (CA) distribution on capillary trapping curves. This curve describes the reservoir rocks capillary CO2 trapping potential and is crucial for simulating fluid dynamics and storage safety. Various methods to distribute Contact Angles were explored, and numerical results were compared with experimental data from the literature. To realistically describe capillary trapping curves, it is necessary to identify and investigate the representative elementary volume. The effects of numerical boundary conditions, especially the influence of the numerical Capillary End Effect (CCE), were investigated, and a strategy to mitigate it was developed. Additionally, we varied contact angles and simulated different wetting properties to study the shift from spontaneous to forced CO2 displacement. The author showed that the morphological method offers valuable insights into CO2 trapping in reservoirs. They also demonstrated the reliable modeling of capillary end effects at the pore scale.
AB - Carbon Capture and Storage (CCS) refers to a chain of technologies to capture CO2 from industrial processes. It is possible to store carbon dioxide on an industrial scale and significantly lower greenhouse gas emissions. A thorough understanding of reservoir characteristics and trapping mechanisms is essential to ensure practical application and the highest level of storage safety. Routine and Special Core Analysis (SCAL) programs evaluate fluid-fluid and rock-fluid characteristics and offer insights into displacement and trapping efficiency. However, SCAL studies require a lot of time and resources. Improvements in imaging methods and processing capacity in Digital Rock Physics (DRP) have made it possible to simulate elementary two-phase-flow processes promptly while accounting for differences in reservoir characteristics. Computing various fluid-fluid and rock-fluid combinations effectively by calibrating the simulations using experimental data is possible. This thesis aims to demonstrate how the Morphological Method (MM) can extract trapping curves. We intend to provide essential insights into the viability and efficiency of CCS as a carbon dioxide storage option by utilizing DRP and computational modeling. The GeoDict simulation tool, mainly the Satudict module, is used to conduct simulations. We use the morphological approach to model drainage and imbibition processes previously developed by the department. The modified MM is applied to assess the capillary trapping potential of CO2 in reservoir rocks. A particular focus is on analyzing the influence of the Contact Angle (CA) distribution on capillary trapping curves. This curve describes the reservoir rocks capillary CO2 trapping potential and is crucial for simulating fluid dynamics and storage safety. Various methods to distribute Contact Angles were explored, and numerical results were compared with experimental data from the literature. To realistically describe capillary trapping curves, it is necessary to identify and investigate the representative elementary volume. The effects of numerical boundary conditions, especially the influence of the numerical Capillary End Effect (CCE), were investigated, and a strategy to mitigate it was developed. Additionally, we varied contact angles and simulated different wetting properties to study the shift from spontaneous to forced CO2 displacement. The author showed that the morphological method offers valuable insights into CO2 trapping in reservoirs. They also demonstrated the reliable modeling of capillary end effects at the pore scale.
KW - CCS
KW - CO2
KW - Capillary Trapping
KW - Digital Rock Physics
KW - Imbibition
KW - Drainage
KW - Land Model
KW - Trapping Curves
KW - CCS
KW - CO2
KW - Capillary Trapping
KW - Digitale Geisteinsphysic
KW - Imbibition
KW - Drainage
KW - Land Model
KW - Trapping Curves
U2 - 10.34901/mul.pub.2023.230
DO - 10.34901/mul.pub.2023.230
M3 - Master's Thesis
ER -