Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/117941
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Stochastic modelling of particulate suspension transport for formation damage prediction in fractured tight reservoir
Author: Xu, C.
You, Z.
Kang, Y.
You, L.
Citation: Fuel, 2018; 221:476-490
Publisher: Elsevier
Issue Date: 2018
ISSN: 0016-2361
Statement of
Responsibility: 
Chengyuan Xu, Zhenjiang You, Yili Kang, Lijun You
Abstract: Developed fractures are beneficial for the efficient development of tight reservoir. But they also lead to formation damage induced by particle capture in fractures during drill-in fluid loss. Effective modelling of particle transport and capture behavior is critical to the prediction and prevention of formation damage. However, the behaviors of particulate suspension transport in fractured media are still incompletely understood and quantified. This paper develops stochastic microscale model for size-exclusion particulate-suspension transport in fractured media. The proposed model accounts for the fracture network connectivity and its subsequent evolution due to particle capture by the introduction of percolation theory. It accounts for the particle capture probability and accessible flux in the expression for particle capture and fracture plugging dynamics. The micro-stochastic model allows for upscaling and numerical solution is obtained for the macroscale equation system to predict the rate and range of formation damage induced by drill-in fluid loss. Laboratory experiments are conducted for the model validation. Modelling results exhibit preferential plugging of fractures with size equal to or below the suspended particle size. The fractures with width equal to the particle diameter decrease fastest. The captured particle concentration decreases with the improvement of the network connectivity. Higher network connectivity leads to smaller decrease of fracture concentration and network permeability during the transport and capture of the same size of suspended particles. The proposed model shows a good agreement with laboratory data.
Keywords: Fractured tight reservoir; particulate suspension transport; formation damage; percolation; drill-in fluid loss
Rights: © 2018 Elsevier Ltd. All rights reserved.
RMID: 0030083701
DOI: 10.1016/j.fuel.2018.02.056
Appears in Collections:Australian School of Petroleum publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.