Predicting aqueous phase trapping damage in tight reservoirs using quantum neural networks

Author:

Sun Yuxue,Zhao Jingyuan,Bai Mingxing

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Reference28 articles.

1. Bahrami H, Rezaee R, Saeedi A, Murikhan G (2012) Phase trapping damage in use of water-based and oil-based drilling fluids in tight gas reservoirs. Soc Petroleum Eng. doi: 10.2118/154648-MS

2. Bai MX (2014) Risk assessment for CO2 Leakage along abandoned wells using a monte Carlo simulation in a CO2 sequestration site. J Pet Sci Technol 32:1191–1200

3. Bai MX, Sun YX, Patil PA, Reinicke KM (2012) Prediction of formation water sensitivity using multiple linear regression and artificial neural network. Oil Gas Eur Mag 38(3):132–137

4. Bai MX, Reinicke KM, Song KP, Li Y, Sun JP (2014) Relative permeability model and CO2 leakage through abandoned wells during CO2 underground storage. Oil Gas-Euro Magazine 40:161–165

5. Bennion DB, Thomas FB, Bietz RF, Bennion DW (1996) Water and hydrocarbon phase trapping in porous media-diagnosis, prevention and treatment. J Can Petrol Technol 35(10):29–36

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