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Proceedings Paper

Borehole survey system using fiber optic gyroscopes strapdown inertial navigation
Author(s): Shuang Gao; Chunxi Zhang; Tingyang Yan; Chen Li
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Paper Abstract

This paper will present a Fiber Optic Gyroscopes Strap down Inertial Navigation System (SINS) used in borehole survey systems. This system can be used for Wire-Line logging operations because of Fiber Optic Gyroscope's excellent capabilities of long life time, ruggedness, compactness, low cost and high environmental insensitivity. This borehole survey system utilizes the cable length signal aiding Fiber Optic Gyroscopes Strapdown Inertial Navigation System. Furthermore, this system utilizes an optimal estimation procedure based on Kalman filtering method to estimate and compensate the system errors on-line. This paper also presents a cable length model to correct the cable length signal. Simulation results show that the methods can effectively enhance the precision of the borehole survey system. In this system, the borehole survey system can fleetly and continuously survey the borehole during Wire-Line logging operations for determining the precise path of the borehole. Moreover, due to the compact frame of IMU, the borehole surveying system can be used for determining the small diameter boreholes.

Paper Details

Date Published: 6 November 2006
PDF: 7 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63572T (6 November 2006); doi: 10.1117/12.717147
Show Author Affiliations
Shuang Gao, Beijing Univ. of Aeronautics and Astronautics (China)
Chunxi Zhang, Beijing Univ. of Aeronautics and Astronautics (China)
Tingyang Yan, Beijing Univ. of Aeronautics and Astronautics (China)
Chen Li, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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