• 文献标题:   Analysis of high performing graphene oxide nanosheets based non-damaging drilling fl uids through rheological measurements and CFD studies
  • 文献类型:   Article
  • 作  者:   MEDHI S, CHOWDHURY S, BHATT N, GUPTA DK, RANA S, SANGWAI JS
  • 作者关键词:   computational fluid dynamic, fluid loss control, genetic algorithm, graphene oxide nanosheet, non damaging drilling fluid, rheology
  • 出版物名称:   POWDER TECHNOLOGY
  • ISSN:   0032-5910 EI 1873-328X
  • 通讯作者地址:  
  • 被引频次:   20
  • DOI:   10.1016/j.powtec.2020.08.053
  • 出版年:   2021

▎ 摘  要

This research presents a detailed study on the effect of synthesized graphene oxide nanosheet (GO-NS) on Non Damaging Drilling Fluid (NDDF) through steady-state rotational and dynamic oscillation rheological measurements along with fluid loss estimation. Synthesis of GO-NS was conducted by following Hummers' method. It was found that GO-NS acts as an excellent thermal stabilizer for NDDF which better preserves viscosity at high temperatures up to 98%. Apart from strengthening viscoelastic solid properties, addition of >0.5 wt% GO-NS also induces superior structural stability showing a recovery of 93.84%. More than 50% reduction in filtrate loss volume was observed with an addition of 0.8 wt% GO-NS in NDDF. Computational Fluid Dynamics (CFD) simulations showed that the overall cutting retention is least with 0.096% for 0.5 wt% GO-NS NDDF with less eddy viscosity, higher velocity and reduced skewness. Pressure drop calculations indicated assured flowability of GO-NS NDDF even though it bears viscoelastic solid nature. (C) 2020 Elsevier B.V. All rights reserved.