Study of the blocking mechanism in gravel packing based on CFD-DEM

被引:2
|
作者
Deng, Fucheng [1 ,2 ]
Wen, Lei [1 ]
Li, Gang [2 ]
Fan, Baitao [3 ]
Gong, Ning [4 ]
Chen, Shenghong [5 ]
机构
[1] Yangtze Univ, Jingzhou 434023, Peoples R China
[2] Chinese Acad Sci, Guangzhou Inst Energy Convers, Beijing 510640, Peoples R China
[3] CNOOC Res Inst Ltd, Beijing 100028, Peoples R China
[4] CNOOC Ltd, Tianjin Branch, Tianjin 300459, Peoples R China
[5] CNOOC Ener Tech Drilling & Prod Co, Tianjin 300457, Peoples R China
来源
PARTICUOLOGY | 2024年 / 90卷
基金
中国国家自然科学基金;
关键词
CFD-DEM; Blocking the process; Blocking mechanism; Structural parameter; PARTICLE-FLUID FLOW; SIMULATION; MODEL;
D O I
10.1016/j.partic.2023.12.005
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Gravel packing sand control (GPSC), as the optimization of mechanical sand control technology, is widely used in the deep water completion and sand control of loose sandstone heavy oil reservoirs and highly argillaceous. To explore the blocking mechanism of GPSC, the influence of its structural parameters on the blocking of GPSC is investigated. This paper establishes a particle element model based on computational fluid dynamics-discrete element method coupling using the discrete element method and establishes a fluid flow model combined with computational fluid dynamics to realize their full coupling solution. And sand control experiments were carried out using a micro visual sand control simulation device to verify the blocking model. The blocking mechanism is analyzed from the microscopic point of view, and then, the influence of sand control structure parameters on the blocking in GPSC design is evaluated. The results show the following: (1) the blocking process of GPSC can be divided into three stages: an initial stage, sand accumulation stage, and equilibrium stage. (2) There are two main types of gravel packing blockage. The first type of blocking is blocking on the surface of the gravel layer. Sand particles on the surface of gravel layer mainly exist in the form of large particle size blocking gravel pores and sand particles bridging each other. The second type of blockage is the blockage inside the gravel layer. Sand particles mainly exist in the form of internal mud cakes and adsorption on gravels inside the gravel layer. (3) To ensure the sand control performance of the gravel layer, the gravel layer thickness is designed between 23 and 28 mm. The displacement or pressure of the on -site packing pump should be increased to ensure that the gravel layer packing solidity ranges between 59% and 62%. In the design of GPSC, it should be ensured that the median particle size of gravel is 5-6 times the median particle size of sand. This study provides an effective technical reference for the design of gravel structural parameters in on -site gravel packing completion sand control. (c) 2023 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:164 / 178
页数:15
相关论文
共 50 条
  • [31] Mixing Transport Mechanism of Three-Phase Particle Flow Based on CFD-DEM Coupling
    Ge, Man
    Chen, Juntong
    Zhao, Longyun
    Zheng, Gaoan
    PROCESSES, 2023, 11 (06)
  • [32] ANALYSIS OF OIL-WATER SEDIMENTATION MECHANISM AND SEPARATION PROCESS BASED ON CFD-DEM MODEL
    He, Gaiying
    Li, Xiaoyong
    Li, Wuping
    Dou, Qinguang
    Wu, Yushuang
    Lu, Yaojun
    Guo, Shuqin
    FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 28 (12): : 9602 - 9609
  • [33] CFD-DEM Simulations for Biomass Furnaces
    Holtz, Dorian
    Nocke, Juergen
    Hassel, Egon
    28 DEUTSCHER FLAMMENTAG: VERBRENNUNG UND FEUERUNG, 2017, 2017, 2302 : 131 - 142
  • [34] CFD-DEM Study of Heat Transfer in the Reduction Shaft of Corex
    Hou, Qinfu
    Li, Jian
    Yu, Aibing
    STEEL RESEARCH INTERNATIONAL, 2015, 86 (06) : 626 - 635
  • [35] A Comparative Study of Mixed Resolved-Unresolved CFD-DEM and Unresolved CFD-DEM Methods for the Solution of Particle-Laden Liquid Flows
    Kuruneru, Sahan Trushad Wickramasooriya
    Marechal, Ewen
    Deligant, Michael
    Khelladi, Sofiane
    Ravelet, Florent
    Saha, Suvash Chandra
    Sauret, Emilie
    Gu, Yuantong
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2019, 26 (04) : 1239 - 1254
  • [36] Sandblasting Erosion Characteristics Based on Coupled CFD-DEM Method
    Zhou, Dapeng
    Ma, Xuedong
    Chen, Yan
    Zhongguo Biaomian Gongcheng/China Surface Engineering, 2022, 35 (06): : 128 - 139
  • [37] Investigation of Suffusion in Soil with Arching Based on CFD-DEM Simulation
    Cao, Zhigang
    Xiao, Zheng
    Cai, Yuanqiang
    Han, Jie
    INTERNATIONAL JOURNAL OF GEOMECHANICS, 2024, 24 (03)
  • [38] A Resolved CFD-DEM Approach Based on Immersed Boundary Method
    Mao J.
    Xiao J.
    Zhao L.
    Di Y.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2023, 57 (08): : 988 - 995
  • [39] Study on the Spatiotemporal Evolution Pattern of Frazil Ice Based on CFD-DEM Coupled Method
    Liu, Fang
    Li, Hongyi
    Zhao, Xin
    Chen, Yunfei
    WATER, 2024, 16 (23)
  • [40] CFD-DEM study of air entrainment in falling particle plumes
    Chu, K. W.
    Wang, Y.
    Zheng, Q. J.
    Yu, A. B.
    Pan, R. H.
    POWDER TECHNOLOGY, 2020, 361 : 836 - 848