TY - JOUR
T1 - A microscopic study of sand arches and sand skeletons under hydrodynamic force based on the CFD-DEM model
AU - Song, Yuqi
AU - Ranjith, P. G.
AU - Wu, Bailin
AU - Song, Zhenlong
N1 - Funding Information:
This study was funded by a joint project of the China Scholarship Council and Monash University (Grant Number: CSC201708320284 ).
Publisher Copyright:
© 2021
PY - 2021/8
Y1 - 2021/8
N2 - Sand production is one of the oldest challenges in the oil and gas industry, causing billions of dollars of losses every year. The main aim of the research reported here is to use our validated 3-D numerical model (Song et al., 2020) based on computational fluid dynamics (CFD) coupled with the discrete element method (DEM) to investigate sand arching under hydrodynamic force in oil and gas production wells. The main findings are as follows: The sand arches observed in our 3-D model have complex 3-D backbones. Sand arches with fewer sand grains are more stable and more common than those with more sand grains. Sand arches contain particles that are coarser than the average size of sand in reservoirs. Most associated angles in arches are less than 180°. For a concave arch with an associated angle greater than 180°, a bead hanging from the equator can be compensated by neighboring particles. A concave sand arch exists only when static friction is introduced. The two arch abutments of sand arches bear the maximum contact force. The critical drawdown pressure gradient of the reservoir increases when the frictional coefficient between sand and screen/liner material increases from 0.0 to 0.75. However, simply increasing the frictional coefficient does not enhance the stability of sand arches if the frictional coefficient is greater than 0.75. The sand skeleton generates greater inner contact force when a higher fluid pressure gradient is introduced. If the drag force exceeds the maximum strength of the sand arch, catastrophic sand production occurs without a new sand arch forming. The collapse and reconstruction of sand arches cause the fall and rebound respectively of the mean coordination number. The greater the mass of the sand production, the greater the mean coordination number's maximum retracement. The proposed method is sufficiently robust and efficient for application to the simulation of fluid-particle interactions for a wide variety of problems in granular systems.
AB - Sand production is one of the oldest challenges in the oil and gas industry, causing billions of dollars of losses every year. The main aim of the research reported here is to use our validated 3-D numerical model (Song et al., 2020) based on computational fluid dynamics (CFD) coupled with the discrete element method (DEM) to investigate sand arching under hydrodynamic force in oil and gas production wells. The main findings are as follows: The sand arches observed in our 3-D model have complex 3-D backbones. Sand arches with fewer sand grains are more stable and more common than those with more sand grains. Sand arches contain particles that are coarser than the average size of sand in reservoirs. Most associated angles in arches are less than 180°. For a concave arch with an associated angle greater than 180°, a bead hanging from the equator can be compensated by neighboring particles. A concave sand arch exists only when static friction is introduced. The two arch abutments of sand arches bear the maximum contact force. The critical drawdown pressure gradient of the reservoir increases when the frictional coefficient between sand and screen/liner material increases from 0.0 to 0.75. However, simply increasing the frictional coefficient does not enhance the stability of sand arches if the frictional coefficient is greater than 0.75. The sand skeleton generates greater inner contact force when a higher fluid pressure gradient is introduced. If the drag force exceeds the maximum strength of the sand arch, catastrophic sand production occurs without a new sand arch forming. The collapse and reconstruction of sand arches cause the fall and rebound respectively of the mean coordination number. The greater the mass of the sand production, the greater the mean coordination number's maximum retracement. The proposed method is sufficiently robust and efficient for application to the simulation of fluid-particle interactions for a wide variety of problems in granular systems.
KW - Computational fluid dynamics
KW - Critical drawdown pressure
KW - Discrete element method
KW - Particle flow code
KW - Sand arch
KW - Sand production
UR - http://www.scopus.com/inward/record.url?scp=85106365129&partnerID=8YFLogxK
U2 - 10.1016/j.jngse.2021.104017
DO - 10.1016/j.jngse.2021.104017
M3 - Article
AN - SCOPUS:85106365129
SN - 1875-5100
VL - 92
JO - Journal of Natural Gas & Science Engineering
JF - Journal of Natural Gas & Science Engineering
M1 - 104017
ER -