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Article

Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement

by
Yu Zheng
,
Lu Wang
*,
Fan Zhang
,
Zulei Yang
and
Yuanbiao Hu
Faculty of Engineering Technology, China University of Geosciences (Beijing), Beijing 100083, China
*
Author to whom correspondence should be addressed.
Micromachines 2024, 15(6), 804; https://doi.org/10.3390/mi15060804
Submission received: 31 May 2024 / Revised: 13 June 2024 / Accepted: 18 June 2024 / Published: 19 June 2024

Abstract

Micro-electro-mechanical systems inertial measurement units (MEMS-IMUs) are increasingly being employed for measuring the attitude of bottom hole assemblies (BHAs). However, the reliability and measurement precision of a single MEMS-IMU may not meet drilling’s stringent needs. Redundant MEMS-IMU systems can effectively enhance the reliability and precision. This paper proposes a redundant configuration method for MEMS sensors tailored to BHA attitude measurement. Firstly, based on reliability theory and a cost-benefit analysis, considering factors such as cost, size, and reliability, the optimal number of sensors in the redundant system was determined to be six. Considering the structural characteristics of the BHA, a hollow hexagonal prism-shaped redundant configuration scheme was proposed, ensuring the circulation of drilling fluid within the drill pipe. Next, by employing Kalman filtering to integrate the output data from the six sensors, a virtual IMU (VIMU) was formed. Finally, experimental verification was carried out. The results confirmed that, after redundancy implementation, the velocity random walk of the accelerometer decreased by an average of 58% compared to a single MEMS-IMU, and bias instability was reduced by an average of 54%. The angular random walk of the gyroscope decreased by an average of 58%, and bias instability was reduced by an average of 37%. This research provides a theoretical foundation for enhancing the precision and reliability of BHA attitude measurements.
Keywords: MEMS redundancy; Kalman filtering; data fusion; measurement while drilling MEMS redundancy; Kalman filtering; data fusion; measurement while drilling

Share and Cite

MDPI and ACS Style

Zheng, Y.; Wang, L.; Zhang, F.; Yang, Z.; Hu, Y. Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement. Micromachines 2024, 15, 804. https://doi.org/10.3390/mi15060804

AMA Style

Zheng Y, Wang L, Zhang F, Yang Z, Hu Y. Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement. Micromachines. 2024; 15(6):804. https://doi.org/10.3390/mi15060804

Chicago/Turabian Style

Zheng, Yu, Lu Wang, Fan Zhang, Zulei Yang, and Yuanbiao Hu. 2024. "Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement" Micromachines 15, no. 6: 804. https://doi.org/10.3390/mi15060804

APA Style

Zheng, Y., Wang, L., Zhang, F., Yang, Z., & Hu, Y. (2024). Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement. Micromachines, 15(6), 804. https://doi.org/10.3390/mi15060804

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