2021
DOI: 10.31224/osf.io/aksxn
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Reservoir Simulation of CO2 Storage using Compositional Flow Model for geological formations in Frio Field and Precaspian Basin

Abstract: CO2 storage is a greenhouse gas mitigation instrument for many countries.In this paper, we investigate the possibility of CO2 storage in the region of the Precaspian basin using the compositional flow model that was verified by the data of the Frio pilot project, USA. We use local grid refinement in the commercial reservoir simulator. In the reservoir simulation for data of the Frio Pilot project, we have achieved a good history matching of the well pressure. The different scenarios were tested and post-injec… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 20 publications
0
1
0
Order By: Relevance
“…One approach for reducing the computational costs of numerical simulations is to use non-uniform grids to capture different responses at different grid resolutions. A popular method, known as local grid refinement 11 (LGR), has enabled scaling simulations to real-world three-dimensional (3D) carbon dioxide storage projects, where the fine-grid responses capture the plume migration while the coarser grid responses capture the farfield pressure buildup [12][13][14] . However, even with nonuniform grid approaches, these numerical models are still too expensive for tasks that require repetitive forward simulations, e.g., site selection 15 , inversion 16 , or optimization 17,18 .…”
Section: Mainmentioning
confidence: 99%
“…One approach for reducing the computational costs of numerical simulations is to use non-uniform grids to capture different responses at different grid resolutions. A popular method, known as local grid refinement 11 (LGR), has enabled scaling simulations to real-world three-dimensional (3D) carbon dioxide storage projects, where the fine-grid responses capture the plume migration while the coarser grid responses capture the farfield pressure buildup [12][13][14] . However, even with nonuniform grid approaches, these numerical models are still too expensive for tasks that require repetitive forward simulations, e.g., site selection 15 , inversion 16 , or optimization 17,18 .…”
Section: Mainmentioning
confidence: 99%