LAPSE:2023.15627
Published Article

LAPSE:2023.15627
An Effective Numerical Simulation Method for Steam Injection Assisted In Situ Recovery of Oil Shale
March 2, 2023
Abstract
This paper presents an effective numerical simulation method for production prediction of in situ recovery of oil shale reservoirs with steam injection. In this method, finite volume-based discretization schemes of heat and mass transfer equations of the thermal compositional model are derived and used. The embedded discrete fracture model is used to accurately handle the fractured vertical well. A smooth non-linear solver is proposed to solve the global equations, then cell pressure, temperature, saturation, component mole fractions, and well production rates can be obtained. Compared with the existing commercial software, this new method can have a smoother non-linear solution and handle the complex fracture geometry theoretically. A numerical example is used to test this presented method and can realize accurate calculation results compared with CMG. Another numerical case with a hydraulic fracture and an open thermal boundary condition is implemented to validate the presented method and can effectively handle the actual situation of steam injection-assisted in situ recovery of oil shale, which was difficult to handle using previous methods.
This paper presents an effective numerical simulation method for production prediction of in situ recovery of oil shale reservoirs with steam injection. In this method, finite volume-based discretization schemes of heat and mass transfer equations of the thermal compositional model are derived and used. The embedded discrete fracture model is used to accurately handle the fractured vertical well. A smooth non-linear solver is proposed to solve the global equations, then cell pressure, temperature, saturation, component mole fractions, and well production rates can be obtained. Compared with the existing commercial software, this new method can have a smoother non-linear solution and handle the complex fracture geometry theoretically. A numerical example is used to test this presented method and can realize accurate calculation results compared with CMG. Another numerical case with a hydraulic fracture and an open thermal boundary condition is implemented to validate the presented method and can effectively handle the actual situation of steam injection-assisted in situ recovery of oil shale, which was difficult to handle using previous methods.
Record ID
Keywords
finite volume method, nonlinear solver, numerical simulation, oil shale, steam injection
Subject
Suggested Citation
Chen X, Rao X, Xu Y, Liu Y. An Effective Numerical Simulation Method for Steam Injection Assisted In Situ Recovery of Oil Shale. (2023). LAPSE:2023.15627
Author Affiliations
Chen X: State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing 100083, China; State Center for Research and Development of Oil Shale Exploitation, Beijing 100083, China
Rao X: Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Xu Y: Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Liu Y: Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Rao X: Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Xu Y: Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Liu Y: Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan 430100, China
Journal Name
Energies
Volume
15
Issue
3
First Page
776
Year
2022
Publication Date
2022-01-21
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15030776, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.15627
This Record
External Link

https://doi.org/10.3390/en15030776
Publisher Version
Download
Meta
Record Statistics
Record Views
291
Version History
[v1] (Original Submission)
Mar 2, 2023
Verified by curator on
Mar 2, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2023.15627
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.11 seconds)
[0.12 s]
