Skip to main content

Research Repository

Advanced Search

Design and Optimization of Annular Flow Electromagnetic Measurement System for Drilling Engineering

Ge, L.; Li, H.L.; Wang, Q.; Wei, G.H.; Hu, Z.; Liao, Junbi; Li, Junlan

Design and Optimization of Annular Flow Electromagnetic Measurement System for Drilling Engineering Thumbnail


Authors

L. Ge

H.L. Li

G.H. Wei

Z. Hu

Junbi Liao

Junlan Li



Abstract

Using the downhole annular flow measurement system to get real-time information of downhole annular flow is the core and foundation of downhole microflux control drilling technology. The research work of electromagnetic flowmeter in recent years creates a challenge to the design of downhole annular flow measurement. This paper proposes a design and optimization of annular flow electromagnetic measurement system for drilling engineering based on the finite element method. Firstly, the annular flow measuring and optimization principle are described. Secondly, a simulation model of an annular flow electromagnetic measurement system with two pairs of coil is built based on the fundamental equation of electromagnetic flowmeter by COMSOL. Thirdly, simulations of the structure of excitation system of the measurement system are carried out, and simulations of the size of the electrode’s radius are also carried out based on the optimized structure, and then all the simulation results are analyzed to evaluate the optimization effect based on the evaluation indexes. The simulation results show that optimized shapes of the excitation system and electrode size can yield a better performance in the annular flow measurement.

Citation

Ge, L., Li, H., Wang, Q., Wei, G., Hu, Z., Liao, J., & Li, J. (2018). Design and Optimization of Annular Flow Electromagnetic Measurement System for Drilling Engineering. Journal of Sensors, 2018, Article 4645878. https://doi.org/10.1155/2018/4645878

Journal Article Type Article
Acceptance Date Oct 18, 2017
Online Publication Date Feb 25, 2018
Publication Date Feb 25, 2018
Deposit Date Apr 9, 2018
Publicly Available Date Apr 9, 2018
Journal Journal of Sensors
Print ISSN 1687-725X
Electronic ISSN 1687-7268
Publisher Hindawi
Peer Reviewed Peer Reviewed
Volume 2018
Article Number 4645878
DOI https://doi.org/10.1155/2018/4645878

Files

Published Journal Article (21.5 Mb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Copyright © 2018 Liang Ge et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.





You might also like



Downloadable Citations