论文信息 - The Development of Artificial-neural-network-based Universal Proxies to Study Steam Assisted Gravity Drainage (SAGD) and Cyclic Steam Stimulation (CSS) Processes - 字舞流文

The Development of Artificial-neural-network-based Universal Proxies to Study Steam Assisted Gravity Drainage (SAGD) and Cyclic Steam Stimulation (CSS) Processes

Qian Sun | Turgay Ertekin | Qian Sun | T. Ertekin | Qian Sun

[1] M. Saltuklaroglu,et al. Mobil's SAGD Experience at Celtic, Saskatchewan , 2000 .

[2] Martin T. Hagan,et al. Neural network design , 1995 .

[3] D. B. Anderson,et al. Understanding SAGD Producer Wellbore/Reservoir Damage Using Numerical Simulation , 2005 .

[4] M.Y.S. Chan,et al. Numerical Modelling of Cyclically Steamed and Fractured Oil-Sand Reservoirs , 1992 .

[5] Roger M. Butler,et al. Numerical Simulation Of The Steam-Assisted Gravity Drainage Process (SAGD) , 1996 .

[6] M.R.J. Wyllie,et al. Three-Phase Relative Permeability , 1956 .

[7] M. R. Pascual. Cyclic Steam Injection Pilot, Yacimiento Los Perales , 2001 .

[8] R. W. Watson,et al. Development of Universal Proxy Models for Screening and Optimization of Cyclic Pressure Pulsing in Naturally Fractured Reservoirs , 2009 .

[9] Martin Fodslette Møller,et al. A scaled conjugate gradient algorithm for fast supervised learning , 1993, Neural Networks.