吸附
甲烷
油页岩
化学工程
化学
单层
朗缪尔
纳米孔
材料科学
有机化学
纳米技术
地质学
工程类
古生物学
作者
Kecheng Zeng,Peixue Jiang,Zengmin Lun,Ruina Xu
出处
期刊:Energy & Fuels
[American Chemical Society]
日期:2018-11-20
卷期号:33 (3): 1785-1796
被引量:106
标识
DOI:10.1021/acs.energyfuels.8b02851
摘要
Using carbon dioxide as a displacing fluid to enhance shale gas recovery is a promising technique given its potential for significant contributions to both unconventional resource development and CO 2 geological sequestration. The adsorption capacity of CO 2 in nanoscale shale organic pores is the key issue to evaluate the feasibility of CO 2 -enhanced shale gas recovery technology. However, as a result of the complex organic component of the solid surface, the fluid–solid interaction between the confined fluid and the solid surface, and the intermolecular interaction between the confined fluids, the adsorption behavior of CO 2 in the shale is not clear. In this work, shale organic nanopores with different geometries (slit pore and cylindrical pore) and different sizes (1, 2, and 4 nm) are constructed using molecular dynamics and Monte Carlo methods. Isothermal adsorption of CO 2 and methane as single components and competitive adsorption of a CO 2 –methane binary mixture are simulated in a nanoscale methane/CO 2 /organic matter system. The density profile and distribution contour indicate that CO 2 adsorption in shale organic mesopores does not occur via monolayer adsorption. Considering the inadaptability of the Langmuir model to analyze the CO 2 adsorption curve, a modified Brunauer–Emmett–Teller (BET) model is applied to describe and fit the data for the CO 2 and methane adsorption amount, with the parameters in the modified BET model used to characterize the adsorption capacity and affinity of the fluid. The maximum adsorption amount, characteristic pressure, and selectivity parameter of CO 2, methane, and a binary mixture indicate that the adsorption capacity and affinity of CO 2 are stronger than those of methane under reservoir pressure, which provides useful support for enhancing shale gas recovery by injecting CO 2 .
科研通智能强力驱动
Strongly Powered by AbleSci AI