scholarly journals Feasibility study and numerical simulation to design the steam flooding pilot test patterns

2020 ◽  
Vol 10 (6) ◽  
pp. 2559-2573
Author(s):  
Husham A. Elbaloula ◽  
Chen Jin’e ◽  
Tang Zichang ◽  
Wang Yu ◽  
Mohammed Abdelmajeed ◽  
...  
2010 ◽  
Author(s):  
Erika Margarita Trigos ◽  
Andres Gonzales ◽  
Jaime Miguel Pinilla Torres ◽  
Samuel Munoz ◽  
Diana Patricia Mercado Sierra

2015 ◽  
Author(s):  
A. J. Villarroel ◽  
M. D. Nieto Miño ◽  
K. I. Estrella ◽  
J. A. Perez
Keyword(s):  

2012 ◽  
Vol 1 (33) ◽  
pp. 8 ◽  
Author(s):  
Xiping Dou ◽  
Xinzhou Zhang ◽  
Xiangming Wang ◽  
Jinhua Wang

In order to resist tides and salt intrusion, there have been more than 300 tidal gates built at many river estuaries in China since 1960s. However, the serious deposition occurred at a lot of gates due to the changes of hydrodynamic and sediment conditions and lack of discharge from the rivers. At present, the research is mainly to analyze the reasons for siltation downstream gates and the measures of dredging. It is not enough for study on distribution simulation of deposition downstream sluice. Studies have shown that 2D numerical model cannot reflect the distribution of sediment siltation downstream gates. Therefore, it needs to develop 3D sediment numerical model for deposition prediction. In this paper, combined the feasibility study of a tidal gate at Mulanxi River, a physical model and 3D numerical model of sediment siltation downstream gate are conducted.


Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
RuXiang Gong ◽  
JingSong Li ◽  
ZiJun Huang ◽  
Fei Wang ◽  
Hao Yang ◽  
...  

Recently, a data-space inversion (DSI) method has been proposed and successfully applied for the history matching and production optimization for conventional waterflooding reservoir. Under Bayesian framework, DSI can directly and effectively obtain posterior flow predictions without inverting any geological parameters of reservoir model. In this paper, we integrate the numerical simulation model with DSI method for rapid history matching and production prediction for steam flooding reservoir. Based on the finite volume method, a numerical simulation model is established and it is used to provide production data samples for DSI by the simulation of ensemble geological models. DSI-based production prediction model is then established and get trained by the historical data through the random maximum likelihood principle. The posterior production estimation can be obtained fast by training the DSI-based model with history data, but without any posterior geological parameters. The proposed method is applied for history matching and estimating production performance prediction in some numerical examples and a field case, and the results prove its effectiveness and reliability.


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