Modeling the dispersion of drilling muds using the bblt model: the effects of settling velocity

被引:0
|
作者
Haibo Niu
Adam Drozdowski
Tahir Husain
Brian Veitch
Neil Bose
Kenneth Lee
机构
[1] Memorial University of Newfoundland,
[2] Bedford Institute of Oceanography,undefined
[3] Australian Maritime College,undefined
来源
关键词
Drilling muds; Dispersion; Settling velocity; Benthic boundary layer model;
D O I
暂无
中图分类号
学科分类号
摘要
The benthic boundary layer transport (bblt) model was widely used in the Atlantic Canadian offshore region to assess the potential impact zones from drilling wastes discharges from offshore oil and gas drilling. The current version of the bblt uses a single-class settling velocity scenario, which may affect its performance, as settling velocity is size, shape, and material dependent. In this study, the effects of settling velocity on bblt predictions were assessed by replacing this single-class settling velocity scenario with a multi-class size-dependent settling velocity scenario. The new scenario was used in a hypothetical study to simulate the dispersion of barite and fine-grained drilling cuttings. The study showed that the effects of settling velocity on bblt predictions are spatial, temporal, and material dependent.
引用
收藏
页码:585 / 594
页数:9
相关论文
共 50 条
  • [1] Modeling the dispersion of drilling muds using the bblt model: the effects of settling velocity
    Niu, Haibo
    Drozdowski, Adam
    Husain, Tahir
    Veitch, Brian
    Bose, Neil
    Lee, Kenneth
    ENVIRONMENTAL MODELING & ASSESSMENT, 2009, 14 (05) : 585 - 594
  • [2] Modeling the Transport of Drilling Muds: Comparison of bblt and ParTrack Models
    Niu, Haibo
    Drozdowski, Adam
    2014 OCEANS - ST. JOHN'S, 2014,
  • [3] Predicting cuttings settling velocity in drilling muds and in rising-bubbles-containing muds
    Issoufou, Mamane Kondo
    Song, Xianzhi
    Zhu, Zhaopeng
    Xu, Zhengming
    Yu, Buwen
    Jing, Silin
    Duan, Shiming
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2021, 204
  • [4] Predicting cuttings settling velocity in drilling muds and in rising-bubbles-containing muds
    Issoufou, Mamane Kondo
    Song, Xianzhi
    Zhu, Zhaopeng
    Xu, Zhengming
    Yu, Buwen
    Jing, Silin
    Duan, Shiming
    Song, Xianzhi (songxz@cup.edu.cn), 1600, Elsevier B.V. (204):
  • [5] Modeling the downhole density of drilling muds using multigene genetic programming
    Okorie, Ekwe Agwu
    Akpabio, Julius Udoh
    Dosunmu, Adewale
    UPSTREAM OIL AND GAS TECHNOLOGY, 2021, 6
  • [6] A phenomenological retention tank model using settling velocity distributions
    Maruejouls, T.
    Vanrolleghem, P. A.
    Pelletier, G.
    Lessard, P.
    WATER RESEARCH, 2012, 46 (20) : 6857 - 6867
  • [7] A storm water basin model using settling velocity distribution
    Vallet B.
    Vanrolleghem P.A.
    Lessard P.
    Journal of Environmental Engineering and Science, 2016, 11 (04): : 84 - 95
  • [8] Settling velocity of porous particles using the particle-in-cell model
    Zlatanovski, T
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 2001, 81 : S495 - S496
  • [9] A novel predictive model of drag coefficient and settling velocity of drill cuttings in non-Newtonian drilling fluids
    Tie Yan
    Jing-Yu Qu
    Xiao-Feng Sun
    Wei Li
    Ye Chen
    Qiao-Bo Hu
    Petroleum Science, 2021, 18 (06) : 1729 - 1738
  • [10] A novel predictive model of drag coefficient and settling velocity of drill cuttings in non-Newtonian drilling fluids
    Yan, Tie
    Qu, Jing-Yu
    Sun, Xiao-Feng
    Li, Wei
    Chen, Ye
    Hu, Qiao-Bo
    PETROLEUM SCIENCE, 2021, 18 (06) : 1729 - 1738