Fault estimation for rotary steerable drilling tool systems with strong vibrations and unknown terms

Liu, Shiyang; Gao, Ming; Sheng, Li; Niu, Yuguang; Wang, Yuechao; Zhou, Donghua

doi:10.1007/s11071-023-08334-9

Cited by 4 publications

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, with the development of the downhole rotary steering instrument and in order to improve drilling efficiency, control accuracy, and reduce drill string resistance, Schlumberger first developed the rotary steering drilling system in 1999, so that the drill string can still accurately control the wellbore trajectory in the case of continuous rotation. In the early working process of the gyroscope MWD system, the MWD nipple was installed 15 m away from the drill bit, and it was necessary to stop drilling to complete the single point measurement, resulting in low measurement efficiency and lag, and unable to accurately reflect the actual state of the drill bit position, increasing the drilling risk [7,8]. At the same time, due to the large size of today's fiber optic gyroscope, it cannot be applied in small-scale radial horizontal well environments, and the three-axis flexible accelerometer it carries is prone to damage due to impact and vibration.…”

Section: Introductionmentioning

confidence: 99%

A drilling combination positioning method based on geomagnetic/inertial navigation combined with PSD improved unscented Kalman filtering algorithm*

Yang,

Qin,

Wei

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

During the drilling process, the accuracy of measuring drilling tool attitude is severely affected by measurement drift errors in the inertial device itself and the significant interference noise generated by the impact vibration of the drill bit. To address these issues and achieve precise measurement of drilling trajectory, this paper proposes a combined positioning method based on geomagnetism/inertial navigation combined with PSD improved unscented Kalman filtering. An experimental platform was constructed, and a sensor system was installed in the vicinity of the drill bit for short section measurements. Experimental verification was conducted using actual drilling data. The results demonstrate that, compared to general unscented Kalman filtering, the average position error using PSD improved unscented Kalman filtering was reduced from 0.122 m to 0.088 m, and the average velocity error was reduced from 0.019 m s−1 to 0.005 m s−1. By comparing and matching with the drilling trajectory drawn in the logging process, the overall positioning accuracy of the combined positioning method is as high as 90.8%, yielding positioning results that are highly authentic and effective, thereby meeting the on-site usage requirements.

show abstract

Section: Introductionmentioning

confidence: 99%