Day 1 Tue, January 24, 2017 2017
DOI: 10.2118/184829-ms
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An Investigation into Proppant Dynamics in Hydraulic Fracturing

Abstract: Effective proppant placement during hydraulic fracturing is essential to obtain maximum stimulation effectiveness. Understanding proppant placement requires the understanding of the time and space dependent dynamics of proppant motion in fluids, which include the phenomena of proppant transport, bridging, settling, and resuspension. This paper proposes a laboratory test method that can be used to investigate any aspect of proppant dynamics in a variety of channel configurations and fracturing fluids. 3D printi… Show more

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Cited by 15 publications
(11 citation statements)
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“…: where α w -the coefficient of friction at the fracture wall. Thus, when conditions (20) and (22) the particles decelerate and a bridge is formed. We introduce the parameter D by the formula:…”
Section: Conditions Of Bridging In a Close Packingmentioning
confidence: 99%
“…: where α w -the coefficient of friction at the fracture wall. Thus, when conditions (20) and (22) the particles decelerate and a bridge is formed. We introduce the parameter D by the formula:…”
Section: Conditions Of Bridging In a Close Packingmentioning
confidence: 99%
“…Ferández et al [18] did not exceed 0.1 m/s in fluid velocity in a small cell (although they did use small injection perforations). Ray et al [19] focused on the bridging phenomenon using a small scale cell, but they worked at low fluid velocities of about 0.01 m/s. One important aspect for the flow pattern is the actual height of the fracture.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Limitation of the formation environment makes direct monitoring of fracturing slurry flow impossible. Currently, a series of lab-scale experimental models built by transparent glass plates have been applied to search rules of sanding patterns (Tong and Mohanty, 2016;Ray, 2017;Tong et al, 2018). This kind of laboratory-based research and analysis is difficult to be directly applied to oilfield scale prediction, and thus numerical simulation becomes a feasible choice.…”
Section: Introductionmentioning
confidence: 99%