Laboratory-based mathematical modelling of graded proppant injection in CBM reservoirs

Keshavarz, Alireza, Yang, Yulong, Badalyan, Alexander, Johnson, Ray and Bedrikovetsky, Pavel (2014) Laboratory-based mathematical modelling of graded proppant injection in CBM reservoirs. International Journal of Coal Geology, 136 1-16. doi:10.1016/j.coal.2014.10.005

Author Keshavarz, Alireza
Yang, Yulong
Badalyan, Alexander
Johnson, Ray
Bedrikovetsky, Pavel
Title Laboratory-based mathematical modelling of graded proppant injection in CBM reservoirs
Journal name International Journal of Coal Geology   Check publisher's open access policy
ISSN 0166-5162
Publication date 2014-12-05
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.coal.2014.10.005
Open Access Status
Volume 136
Start page 1
End page 16
Total pages 16
Place of publication Amsterdam, The Netherlands
Publisher Elsevier
Collection year 2015
Language eng
Formatted abstract
The graded proppant injection into a connected cleat system of coal bed methane (CBM) reservoir allows deeper particle penetration and straining in the remote open cleats yielding higher well productivity index. The analytical model for axisymmetric flow has been derived for exponential stress–permeability relationship and accounting for permeability variation outside the stimulated zone. Laboratory proppant injections into coal cores have been performed for different proppant sizes and water salinities. It is shown that the proppant suspension based on low salinity water prevents the particle–particle and particle–coal attraction with the consequent core inlet plugging and external cake formation. However, low salinity of the injected water may cause mobilisation, migration and straining of the natural reservoir fines resulting in high formation damage. The interval where salinity is low enough for the rock inlet not to be plugged by the injected proppant, and is high enough for large formation damage due to fine migration not to occur, is proposed for the cores under investigation. The analytical model is tuned from the laboratory data and used for well index prediction. Ignoring the model matching by the laboratory results causes the overestimation of the incremental productivity index, as achieved by the graded proppant injection into coal beds below the fracturing pressure.
Keyword Analytical model
Coal bed methane
Fine migration
Laboratory study
Proppant injection
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 27 Mar 2015, 08:12:22 EST by Rose Clements on behalf of School of Mechanical and Mining Engineering