论文类型：会议论文

第一作者：Song, Yongchen

合写作者：Jian, Weiwei,Zhang, Yi,Xing, Wanli,Zhan, Yangchun,Liu, Shuyang,Li, Tong Tong

发表时间：2014-01-01

收录刊物：CPCI-S、SCIE

文献类型：A

卷号：61

页面范围：440-444

关键字：CO2 capture and storage (CCS); CO(2)emission; density; SAFT; prediction

摘要：The capture of CO2 and its storage in depleted oil reservoir is one of the most important technologies for reducing CO2 emissions. The knowledge about the CO2 + hydrocarbon binary mixtures plays an important role in the design and operation processes involved in CO2 enhance oil recovery (CO2-EOR). In this work, densities of CO2 + decane were predicted with PC-SAFT and tPC-PSAFT equations of state. Some modification of tPC-PSAFT has been done combined with existing experimental data, and the prediction results were improved markedly with the modification. (C) 2014 The Authors. Published by Elsevier Ltd.

是否译文：否