Rigorous modeling of solubility of normal alkanes in supercritical CO2

被引：6

作者：

Huang, Xing ^{[1
,2
]}

Li, Tiantai ^{[1
]}

Zhao, Jinsheng ^{[1
]}

Wang, Chen ^{[1
]}

机构：

[1] Xian Shiyou Univ, Coll Petr Engn, Xian, Shaanxi, Peoples R China

[2] Shaanxi Key Lab Adv Stimulat Technol Oil & Gas Re, Xian, Shaanxi, Peoples R China

来源：

PETROLEUM SCIENCE AND TECHNOLOGY | 2019年 / 37卷 / 09期

基金：

中国国家自然科学基金;

关键词：

ANFIS; EOR; normal alkanes; predictive modeling; supercritical CO2 injection; VAPOR-LIQUID-EQUILIBRIUM; CARBON-DIOXIDE; MOLECULAR-WEIGHT; N-ALKANES; MIXTURES;

D O I：

10.1080/10916466.2018.1564765

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this contribution, ANFIS approaches are developed for the prediction of normal alkane solubility in supercritical carbon dioxide. Regarding the economic and environmental benefits of carbon dioxide injection, it introduced as a well-known procedure of EOR. With this in mind that solubility of normal alkanes followed by CO2 injection affected by various operational condition, in this article functionality of solubility of normal alkanes in supercritical carbon dioxide from operational condition was investigated using Adaptive Neuro Fuzzy Interface System (ANFIS). Results demonstrate that the model is precise. The model shows an overall R-2 and AARD% estimations of 0.9921 and 0.89%, respectively.

引用

页码：1008 / 1015

页数：8

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