DocumentCode
1676199
Title
Coalbed Gas Reservoir Using Artificial Intelligent Algorithm of Calculating Relative Permeability Curve Method
Author
Liu, Jinzi ; Zhu, Weiyao
Author_Institution
Sch. of Civil & Environ. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2012
Firstpage
191
Lastpage
194
Abstract
For coaled methane reservoir relative permeability curves is difficult to determine. This paper uses artificial intelligence algorithms including genetic algorithms and neural network algorithms to establish mathematical model for inversion relative permeability curves, by combination of dynamic actual production data. The results show that this method is feasible, highly practical in industry.
Keywords
artificial intelligence; coal; genetic algorithms; geophysical prospecting; hydrocarbon reservoirs; neural nets; permeability; production engineering computing; artificial intelligence algorithm; coalbed gas reservoirs; genetic algorithms; inversion relative permeability curves; neural network algorithms; relative permeability curve method; Coal; Genetic algorithms; History; Permeability; Production; Reservoirs; Rocks; coaled methane reservoir; genetic algorithms; neural network; relative permeability curves;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2012 International Conference on
Conference_Location
Hunan
Print_ISBN
978-1-4673-0458-0
Type
conf
DOI
10.1109/CDCIEM.2012.52
Filename
6178429
Link To Document