Kinetic characteristics and modeling comparison of methane adsorption on gas shale

动能 吸附 甲烷 热力学 油页岩 化学 近似误差 页岩气 数学 地质学 应用数学 物理 物理化学 有机化学 量子力学 古生物学
作者
Aiguo Hu,Yongchun Zhang,Pei Xiong,Yang Yu,Zhonghua Liu
出处
期刊:Energy Sources, Part A: Recovery, Utilization, And Environmental Effects [Taylor & Francis]
卷期号:: 1-15 被引量:13
标识
DOI:10.1080/15567036.2020.1849461
摘要

Understanding methane adsorption kinetic is of great significance for reserve evaluation and gas production forecast. In order to investigate the kinetic behavior of shale-gas adsorption on shale, multiple-step high-pressure adsorption kinetic experiments are conducted using the volumetric method. We analyze the kinetic characteristics of methane adsorption on Longmaxi shale at nine different pressures. The results show that the adsorption amount increases quickly in the initial time and slowly in the late period, and becomes constant at last. The pressure decreases fast at the beginning and slowly at late, and reaches stable finally. Moreover, we fit the experimental data using Pseudo-first-order (PFO) model, Pseudo-second-order (PSO) model, and Bangham model. To optimize the kinetic model, we calculated and compared correlation coefficients of models and average relative errors between experimental data and calculation, and analyzed the effect of equilibrium pressure on the adsorption rate constant of three models. The results show that the averages of correlation coefficients for nine equilibrium pressure points using three kinetic models (PFO, PSO, and Bangham) respectively, are 0.9766, 0.9999, and 0.9483. Furthermore, the averages of average relative errors for nine equilibrium pressure points using three kinetic models are 49.37%, 3.54%, and 0.49%, respectively. Bangham kinetic model is most suitable for describing the adsorption kinetic of methane on shale in terms of the correlation coefficients, averages of average relative errors, and the trends between the fitting curve and experimental data. This will be very helpful for understanding the adsorption mechanism of shale gas in the Longmaxi formation and forecasting the shale-gas-well production rate.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
sun发布了新的文献求助20
刚刚
刚刚
1秒前
给刘宇宁的粉丝一篇文献吧完成签到,获得积分10
1秒前
大海完成签到,获得积分10
2秒前
深情安青应助wushangyu采纳,获得10
2秒前
明亮无颜发布了新的文献求助150
3秒前
123456完成签到,获得积分10
3秒前
噔噔蹬完成签到 ,获得积分10
3秒前
wyyyy完成签到 ,获得积分10
4秒前
柠檬树发布了新的文献求助10
4秒前
5秒前
小储应助口香糖采纳,获得10
5秒前
5秒前
xcx完成签到,获得积分10
5秒前
jinzhen发布了新的文献求助10
5秒前
一减完成签到 ,获得积分10
6秒前
高高的天亦完成签到 ,获得积分10
6秒前
7秒前
科研通AI5应助14采纳,获得10
7秒前
希望天下0贩的0应助hyh采纳,获得10
8秒前
8秒前
小希完成签到,获得积分10
8秒前
科研通AI5应助cheunsor采纳,获得10
9秒前
猫咪乖乖爱你完成签到,获得积分10
9秒前
泥娃娃完成签到,获得积分10
10秒前
阔达的凡儿完成签到,获得积分10
10秒前
10秒前
Hello应助Eric采纳,获得10
10秒前
10秒前
wanci应助tzjz_zrz采纳,获得10
10秒前
10秒前
11秒前
sqly发布了新的文献求助10
11秒前
12秒前
Elanie.zh发布了新的文献求助20
12秒前
啦啦啦完成签到,获得积分10
12秒前
呼啦呼啦完成签到 ,获得积分10
12秒前
13秒前
兽医12138完成签到 ,获得积分10
13秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 (PDF!) 1000
Technologies supporting mass customization of apparel: A pilot project 450
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3789298
求助须知:如何正确求助?哪些是违规求助? 3334334
关于积分的说明 10269281
捐赠科研通 3050758
什么是DOI,文献DOI怎么找? 1674155
邀请新用户注册赠送积分活动 802507
科研通“疑难数据库(出版商)”最低求助积分说明 760693