全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

应用MRI研究CO2在癸烷中的扩散

DOI: 10.11938/cjmr20150304, PP. 430-438

Keywords: 磁共振成像(MRI),扩散,传质,癸烷,CO2

Full-Text   Cite this paper   Add to My Lib

Abstract:

应用核磁共振成像(MRI)技术可视化研究CO2在癸烷中的扩散,在MRI系统采集图像的同时,应用双室压力衰减法(PVT法)监测压力,通过对MRI图像进行信号强度分析,可得到CO2的无量纲浓度分布,然后基于菲克定律应用有限体积法可计算得出与扩散距离和扩散时间有关的扩散系数,并可得到任意扩散时间范围内的整体平均扩散系数,MRI方法得出的扩散平衡时间范围内的整体平均扩散系数与PVT法相比较误差为2.7%,并且与相似条件下的前人实验结论具有相同的数量级(10–9).根据实验结果得出,扩散系数沿扩散方向下降且随时间以指数形式降低,整体平均扩散系数随扩散时间的增加而减小.

References

[1]  Guerrero A U, Kantzas A. Diffusion of Hydrocarbon Gases in Heavy Oil and Bitumen[C]. Colombia: The 2009 SPE Latin American and Caribbean Petroleum Engineering Conference held in Cartagena, SPE 1222783.
[2]  Jamialahmadi M, Emadi M. Diffusion coefficients of methane in liquid hydrocarbons at high pressure and temperature[J]. J Petrol Sci Eng, 2006, 53: 47-60.
[3]  Wang L S, Lang Z X, Guo T M. Measurement and correlation of the diffusion coefficients of carbon dioxide in liquid hydrocarbons under elevated pressures[J]. Fluid Phase Equilibr, 1996, 117(1, 2): 364-372.
[4]  Grogan A T, Pinczewski V W, Ruskauff G J, et al. Diffusion of CO2 at reservoir conditions: models and measurements[J]. Spe Reservoir Eng, 1988, 3(1): 93-102.
[5]  Abedini A, Torabi F. On the CO2 storage potential of cyclic CO2 injection process for enhanced oil recovery[J]. Fuel, 2014, 124: 14-27.
[6]  Kavousia S, Farshid T, Chanb C W, et al. Experimental measurement and parametric study of CO2 solubility and molecular diffusivity in heavy crude oil systems[J]. Fluid Phase Equilibr, 2014, 371: 57-66.
[7]  Riazi M R. A new method for experimental measurement of diffusion coefficients in reservoir fluids[J]. J Petrol Sci Eng, 1996, 14: 235-250.
[8]  Zhang Y P, Hyndman C L, Maini B B. Measurement of gas diffusivity in heavy oils[J]. J Petrol Sci Eng, 2000, 25: 37-47.
[9]  Davis P K, Lundy G D, Palamara J E, et al. New pressure decay techniques to study gas sorption and diffusion in polymers at elevated pressures[J]. Ind Eng Chem Res, 2004, 43: 1 537-1 542.
[10]  Wen Y W, Kantzas A. Monitoring Bitumen-solvent interactions with low-field nuclear magnetic resonance and X-ray computer-assisted tomography[J]. Energy & Fuels, 2005, 19: 1 319-1 326.
[11]  Song L, Kantzas A, Bryan J, et al. Experimental Measurement of Diffusion Coefficient of CO2 in Heavy Oil Using X-Ray Computed-Assisted Tomography Under Reservoir Conditions[C]. Canada: The Canadian Unconventional Resources & International Petroleum Conference, Society of Petroleum Engineers, 2010, CSUG/SPE 137545.
[12]  Araujo S V, Vargas J A V, Trevisan O V. Diffusion Coefficient of CO2 in Light Oil Under Reservoir Conditions Using X-Ray Computed Tomography[C]. Brazil: Offshore Technology Conference, 2013, OTC 24454.
[13]  Song L, Kantzas A, Bryan J. Investigation of CO2 Diffusivity in Heavy Oil Using X-Ray Computer-Assisted Tomography Under Reservoir Conditions[C]. USA: International Conference on CO2 Capture, Storage, and Utilization, Society of Petroleum Engineers, 2010, SPE138205.
[14]  Zhang Zong-fu(张宗富), Xiao Li-zhi(肖立志), Liu Hua-bing(刘化冰), et al. Simulation of restricted diffusion of water molecules in mieropores(水分子在微孔隙介质中的受限扩散模拟)[J]. Chinese J Magn Reson(波谱学杂志), 2014, 31(1): 49-60.
[15]  Li Xin-jun(李新军), Nie Sheng-dong(聂生东), Wang Yuan-jun(王远军), et al. An improved two-dimensional inversion algorithm for low-field NMR diffusion-transverse relaxation correlation data(低场核磁共振扩散-横向弛豫二维反演算法)[J]. Chinese J Magn Reson(波谱学杂志), 2013, 30(3): 322-335.
[16]  Ersland G, husebo J, Graue A, et al. Measuring gas hydrate formation and exchange with CO2 in Bentheim sandstone usingMRI tomography[J]. Chem Eng J, 2010, 158: 25-31.
[17]  Liu Y, Zhao Y, Zhao J, et al. Magnetic resonance imaging on CO2 miscible and immiscible displacement in oil-saturated glass beads pack[J]. Magn Reson Imaging, 2011, 29: 1 110-1 118.
[18]  Zhao Y C, Song Y C. Visualization of CO2 and oil immiscible and miscible flow processes in porous media using NMR micro-imaging[J]. Petrol Sci, 2011, 8: 183-193.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133