LAPSE:2024.0587v1
Published Article

LAPSE:2024.0587v1
Research on Numerical Simulation Methods for Reservoirs of Loose Sandstone Considering the Equilibrium Time of Vertical Seepage Flow
June 5, 2024
Abstract
Due to their high porosity and permeability characteristics, reservoirs of loose sandstone have great development potential. Under weak dynamic conditions, the vertical migration and mass exchange of oil−water two-phase fluids in loose sandstone reservoirs occur very easily. The phenomenon of vertical seepage flow equilibrium has a significant impact on the distribution of oil−water two-phase fluids in the reservoir. However, existing mainstream numerical simulators cannot accurately describe the phenomenon of vertical migration of oil−water two-phase fluids under weak dynamic conditions. In this study, using 3D printing technology, multiple transparent rock core holders were constructed to conduct experiments on the vertical seepage flow equilibrium time of different viscosities and contents of crude oil under different permeabilities of rock cores. Through the analysis and regression of experimental results, a predictive formula for the vertical seepage flow equilibrium time of loose sandstone reservoirs was established. Based on the time-prediction discriminant formula, a multi-scale numerical simulation method for vertical seepage flow equilibrium was constructed. A comparison between the new method and experimental results showed that the numerical simulation method, considering vertical seepage flow equilibrium, is closer to experimental phenomena than traditional numerical simulation methods. This indicates that the method can more accurately reveal the characteristics and distribution laws of the vertical seepage flow of oil−water two-phase fluids in loose sandstone reservoirs.
Due to their high porosity and permeability characteristics, reservoirs of loose sandstone have great development potential. Under weak dynamic conditions, the vertical migration and mass exchange of oil−water two-phase fluids in loose sandstone reservoirs occur very easily. The phenomenon of vertical seepage flow equilibrium has a significant impact on the distribution of oil−water two-phase fluids in the reservoir. However, existing mainstream numerical simulators cannot accurately describe the phenomenon of vertical migration of oil−water two-phase fluids under weak dynamic conditions. In this study, using 3D printing technology, multiple transparent rock core holders were constructed to conduct experiments on the vertical seepage flow equilibrium time of different viscosities and contents of crude oil under different permeabilities of rock cores. Through the analysis and regression of experimental results, a predictive formula for the vertical seepage flow equilibrium time of loose sandstone reservoirs was established. Based on the time-prediction discriminant formula, a multi-scale numerical simulation method for vertical seepage flow equilibrium was constructed. A comparison between the new method and experimental results showed that the numerical simulation method, considering vertical seepage flow equilibrium, is closer to experimental phenomena than traditional numerical simulation methods. This indicates that the method can more accurately reveal the characteristics and distribution laws of the vertical seepage flow of oil−water two-phase fluids in loose sandstone reservoirs.
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Keywords
loose sandstone reservoir, numerical simulation, vertical seepage flow equilibrium time
Subject
Suggested Citation
Wang S, You Q, Zhang R, Yu C, Wang S, Li C, Zhuo X. Research on Numerical Simulation Methods for Reservoirs of Loose Sandstone Considering the Equilibrium Time of Vertical Seepage Flow. (2024). LAPSE:2024.0587v1
Author Affiliations
Wang S: College of Energy Resources, China University of Geosciences, Beijing 100083, China
You Q: College of Energy Resources, China University of Geosciences, Beijing 100083, China; Beijing Key Laboratory of Unconventional Natural Gas Geological Evaluation and Development Engineering, China University of Geosciences, Beijing 100083, China [ORCID]
Zhang R: College of Energy Resources, China University of Geosciences, Beijing 100083, China [ORCID]
Yu C: Shengli Oil Field Exploration and Development Research Institute, Dongying 257001, China
Wang S: College of Energy Resources, China University of Geosciences, Beijing 100083, China
Li C: Shandong University of Aeronautics, 391 Huanghe Fifth Road, Binzhou 256500, China
Zhuo X: Shengli Oilfield Technical Testing Center, No. 480 Xi’er Road, Dongying 257000, China
You Q: College of Energy Resources, China University of Geosciences, Beijing 100083, China; Beijing Key Laboratory of Unconventional Natural Gas Geological Evaluation and Development Engineering, China University of Geosciences, Beijing 100083, China [ORCID]
Zhang R: College of Energy Resources, China University of Geosciences, Beijing 100083, China [ORCID]
Yu C: Shengli Oil Field Exploration and Development Research Institute, Dongying 257001, China
Wang S: College of Energy Resources, China University of Geosciences, Beijing 100083, China
Li C: Shandong University of Aeronautics, 391 Huanghe Fifth Road, Binzhou 256500, China
Zhuo X: Shengli Oilfield Technical Testing Center, No. 480 Xi’er Road, Dongying 257000, China
Journal Name
Processes
Volume
12
Issue
4
First Page
733
Year
2024
Publication Date
2024-04-04
ISSN
2227-9717
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PII: pr12040733, Publication Type: Journal Article
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LAPSE:2024.0587v1
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https://doi.org/10.3390/pr12040733
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