scholarly journals Effects of perforation schemes and non-Darcy flow on hydraulically-fractured gas well performances.

2000 ◽  
Vol 65 (5) ◽  
pp. 477-488 ◽  
Author(s):  
Kozo Sato ◽  
Hideaki Takeda
Keyword(s):  
Darcy Flow ◽  
Gas Well

Gas Well Decline Analysis Under Constant-Pressure Conditions, Wellbore Storage, Damage, and Non-Darcy Flow Effects

2002 ◽  
Author(s):  
Ibrahim Sami Nashawi ◽  
Fuad H. Qasem ◽  
Ridha Gharbi ◽  
Mohammad I. Mir
Keyword(s):  
Constant Pressure ◽  
Darcy Flow ◽  
Gas Well ◽  
Wellbore Storage ◽  
Flow Effects

An Investigation of Non-Darcy Flow Effects on Hydraulic Fractured Oil and Gas Well Performance

2004 ◽  
Author(s):  
M.B. Smith ◽  
A. Bale ◽  
L.K. Britt ◽  
L.E. Cunningham ◽  
J.R. Jones ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Darcy Flow ◽  
Well Performance ◽  
Gas Well ◽  
Flow Effects

Gas Well Decline Analysis Incorporating Real-Gas Behavior and Non-Darcy Flow

1986 ◽  
Author(s):  
S.H. Schmidt ◽  
B.H. Caudle ◽  
M.A. Miller
Keyword(s):  
Darcy Flow ◽  
Gas Well ◽  
Real Gas

Economic benefit of shale gas exploitation based on back propagation neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8823-8830
Author(s):  
Jiafeng Li ◽  
Hui Hu ◽  
Xiang Li ◽  
Qian Jin ◽  
Tianhao Huang
Keyword(s):  
Neural Network ◽  
Shale Gas ◽  
Bp Neural Network ◽  
Large Scale ◽  
Linear Prediction ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Economic Benefits ◽  
Gas Well ◽  
Well Production

Under the influence of COVID-19, the economic benefits of shale gas development are greatly affected. With the large-scale development and utilization of shale gas in China, it is increasingly important to assess the economic impact of shale gas development. Therefore, this paper proposes a method for predicting the production of shale gas reservoirs, and uses back propagation (BP) neural network to nonlinearly fit reservoir reconstruction data to obtain shale gas well production forecasting models. Experiments show that compared with the traditional BP neural network, the proposed method can effectively improve the accuracy and stability of the prediction. There is a nonlinear correlation between reservoir reconstruction data and gas well production, which does not apply to traditional linear prediction methods

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