A New Model for Predicting Minimum Miscibility Pressure (MMP) in Reservoir-Oil/Injection Gas Mixtures Using Adaptive Neuro Fuzzy Inference System
One of the critical concerns in determining the effectiveness of Enhanced Oil Recovery (EOR) is the understanding and evaluation of the Minimum Miscibility Pressure (MMP). Minimum miscibility pressure is the lowest possible pressure required to attain the mixing of injected fluid and the hydrocarbon...
Saved in:
Main Authors: | Ayoub, M.A., Mohyaldinn, M.E., Manalo, A., Hassan, A.M., Ahmed, Q.A. |
---|---|
Format: | Article |
Published: |
Springer
2020
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075739889&doi=10.1007%2f978-981-13-8297-0_55&partnerID=40&md5=48c062bc1fc0e495d17b8d70a69d8829 http://eprints.utp.edu.my/24760/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A New Model for Predicting Minimum Miscibility Pressure (MMP) in Reservoir-Oil/Injection Gas Mixtures Using Adaptive Neuro Fuzzy Inference System
by: Ayoub, M.A., et al.
Published: (2020) -
The combined effects of the minimum miscibility pressure and injection rate variations on recovery of co2 flooding in sandstone reservoir
by: Ayoub, M.A., et al.
Published: (2022) -
A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique with trend analysis
by: Alakbari, F.S., et al.
Published: (2022) -
EVALUATION OF METHODS TO LOWER MMP OF CRUDE OIL IN GAS MISCIBLE DISPLACEMENT
by: HEW, ZHONG YING
Published: (2013) -
Determination of the Gas-Oil Ratio below the Bubble Point Pressure Using the Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: Ayoub Mohammed, M.A., et al.
Published: (2022)