New method for inferring the mean pore size of shale using imbibition-diffusion data
Yang L(杨柳); Lu XB(鲁晓兵); Luo DS(罗大双)
2017
会议日期October 11, 2017 - October 12, 2017
会议地点Helsinki, Finland
关键词Chemical operations Flow of fluids Fracturing (fossil fuel deposits) Gases Hydraulic fracturing Ions Pore size Rock mechanics Shale Shale gas Volumetric analysis Continuum equation Fracturing operations Imbibition Mean pore size Mercury injection Sandstone reservoirs Shale formation Water imbibition
页码155-162
英文摘要After the multistage hydraulic fracturing operations, it is generally observed that the shale gas well is characterized by low flowback rate and high-salinity flowback water. It can be explained by the high water imbibition and ion diffusion capacity of gas shale that is significantly different from conventional sandstone reservoirs. The research on imbibition and ion diffusion is significant for the understanding of shale formation characterization. A new method to evaluate the mean pore size was developed using the experimental data of water imbibition and ion diffusion in gas-saturated shale. The mathematical model was derived theoretically depending on Darcy's law and continuum equation. The results show that the imbibition and diffusion rate can be calculated by imbibition-diffusion curves, and the ratio of imbibition rate to diffusion rate is related to mean pore size. The value of mean pore size is inferred, which is verified by the mercury injection test. This research is significant for volumetric analysis and chemical analysis after fracturing operations to understand the characteristics of gas shale. © 2017 International Society for Rock Mechanics. All rights reserved.
会议录3rd Nordic Rock Mechanics Symposium, NRMS 2017
语种英语
ISBN号9789517586221
内容类型会议论文
源URL[http://dspace.imech.ac.cn/handle/311007/78017]  
专题力学研究所_流固耦合系统力学重点实验室(2012-)
作者单位Institute of Mechanics, Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Yang L,Lu XB,Luo DS. New method for inferring the mean pore size of shale using imbibition-diffusion data[C]. 见:. Helsinki, Finland. October 11, 2017 - October 12, 2017.
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