Borehole survey system using fiber optic gyroscopes strapdown inertial navigation

Shuang Gao; Chunxi Zhang; Tingyang Yan; Chen Li

doi:10.1117/12.717147

6 November 2006 Borehole survey system using fiber optic gyroscopes strapdown inertial navigation

Shuang Gao, Chunxi Zhang, Tingyang Yan, Chen Li

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Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63572T (2006) https://doi.org/10.1117/12.717147
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

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.

Citation Download Citation

Shuang Gao, Chunxi Zhang, Tingyang Yan, and Chen Li "Borehole survey system using fiber optic gyroscopes strapdown inertial navigation", 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); https://doi.org/10.1117/12.717147

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KEYWORDS

Fiber optic gyroscopes

Navigation systems

Error analysis

Inertial navigation systems

Gyroscopes

Filtering (signal processing)

Electronic filtering

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