A soft computing approach for prediction of P- Ï-T behavior of natural gas using adaptive neuro-fuzzy inference system
Density is an important property of natural gas required for the design of gas processing and reservoir simulation. Due to expensive measurement of density, industry tends to predict gas density through an EOS. However, all EOS are associated with uncertainties, especially at high-pressure condition...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2017-12-01
|
| Series: | Petroleum |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405656116301213 |