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Parameter Prediction of Water Imbibition in Unsaturated Shales Using the NMR Method
Joint Authors
Yang, Jun
Leng, Jingyi
Qiao, Linke
Wang, Linlin
Ding, Jiadi
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Although the hydraulic fracturing treatment can improve the conductivity of shale reservoirs, the low recovery rate of the fracturing fluid may cause potential environmental and production issues.
For an accurate investigation of these issues, an appropriate model of the water imbibition in shales is required.
However, the hydraulic parameters related to water imbibition in shales are hard to be measured due to their tiny pores.
In this study, an effective method is proposed to estimate the water imbibition volume.
The nuclear magnetic resonance method is applied to obtain the related parameters including the capillary curve, the intrinsic and relative permeability of the shale, which can significantly cut down the time and cost needed to get these data.
This model is validated by water imbibition experiments.
In addition, we compare two empirical equations used to calculate intrinsic permeability in the NMR method and calibrate the corresponding parameter a for shale, which is poorly investigated in literature.
Finally, we suggest that the capillary force dominates the early stage of water imbibition process in unsaturated shales, and the late period may be influenced more by other mechanisms such as the osmosis and the surface hydration.
American Psychological Association (APA)
Yang, Jun& Leng, Jingyi& Qiao, Linke& Wang, Linlin& Ding, Jiadi. 2019. Parameter Prediction of Water Imbibition in Unsaturated Shales Using the NMR Method. Geofluids،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1153307
Modern Language Association (MLA)
Yang, Jun…[et al.]. Parameter Prediction of Water Imbibition in Unsaturated Shales Using the NMR Method. Geofluids No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1153307
American Medical Association (AMA)
Yang, Jun& Leng, Jingyi& Qiao, Linke& Wang, Linlin& Ding, Jiadi. Parameter Prediction of Water Imbibition in Unsaturated Shales Using the NMR Method. Geofluids. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1153307
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153307