Multidimensional velocity-based model of formation permeability damage

被引:0
|
作者
Mojarad, R.S. [1 ]
Settari, A. [1 ]
机构
[1] U. of Calgary, Calgary, Alta., Canada
来源
JPT, Journal of Petroleum Technology | 2006年 / 58卷 / 03期
关键词
The loss of injectivity in produced-water and seawater injectors results from formation plugging. Reliable modeling of the permeability loss is key to analysis of field data and to the design and economics of projects. Standard formulation of damage mechanics uses the concentration-based; classical deep-bed filtration (DBF) model; which is not easily implemented in reservoir simulators. This alternative damage-modeling approach is based on the formulation proposed by Bachman et al.: Coupled Simulation of Reservoir Flow; Geomechanics; and Formation Plugging With Application to High-Rate Produced-Water Reinjection; paper SPE 79695. The numerical implementation of this empirical; velocity-based damage model (VBDM) is extended to 2D flow and is validated by a comparison with the DBF model. The velocity model provides a remarkably accurate approximation of the more complex concentration model;
D O I
暂无
中图分类号
学科分类号
摘要
Journal article (JA)
引用
收藏
页码:68 / 69
相关论文
共 50 条
  • [11] Velocity-based adaptivity of deformable models
    Tournier, Maxime
    Nesme, Matthieu
    Faure, Francois
    Gilles, Benjamin
    COMPUTERS & GRAPHICS-UK, 2014, 45 : 75 - 85
  • [12] Nonlinear model predictive control algorithm using velocity-based linearization
    School of Information and Control Engineering, China University of Petroleum, Dongying 257061, China
    Huagong Xuebao, 2008, 7 (1732-1736):
  • [13] Velocity-Based Motion Categorization by Pigeons
    Cook, Robert G.
    Beale, Kevin
    Koban, Angie
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-ANIMAL BEHAVIOR PROCESSES, 2011, 37 (02): : 175 - 188
  • [14] Blending local models within a velocity-based multiple model network
    McLoone, SC
    Irwin, GW
    McLoone, SF
    NEW TECHNOLOGIES FOR COMPUTER CONTROL 2001, 2002, : 129 - 134
  • [15] State feedback integral control by velocity-based multiple model networks
    Gao, RY
    O'Dwyer, A
    McLoone, S
    Coyle, E
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 2039 - 2044
  • [16] VELOCITY-BASED EGRESS MODEL FOR THE ANALYSIS OF EVACUATION PROCESS ON PASSENGER SHIPS
    Cho, Yoon-Ok
    Ha, Sol
    Park, Kwang-Phil
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2016, 24 (03): : 466 - 483
  • [17] Velocity-Based Monte Carlo Fluids
    Sugimoto, Ryusuke
    Batty, Christopher
    Hachisuka, Toshiya
    PROCEEDINGS OF SIGGRAPH 2024 CONFERENCE PAPERS, 2024,
  • [18] Velocity-based optoretinography for clinical applications
    Vienola, Kari V.
    Valente, Denise
    Zawadzki, Robert J.
    Jonnal, Ravi S.
    OPTICA, 2022, 9 (10) : 1100 - 1108
  • [19] A Velocity-Based Dynamic Model and Its Properties for Differential Drive Mobile Robots
    Felipe N. Martins
    Mário Sarcinelli-Filho
    Ricardo Carelli
    Journal of Intelligent & Robotic Systems, 2017, 85 : 277 - 292
  • [20] Velocity-based formation damage characterization method for produced water re-injection: Application on Masila Block core flood tests
    Mojarad, R. Salehi
    Settari, A.
    PETROLEUM SCIENCE AND TECHNOLOGY, 2008, 26 (7-8) : 937 - 954