title: A Long-Term Performance Enhancement Method for FOG-Based Measurement While Drilling.
abstract: In the oil industry, the measurement-while-drilling (MWD) systems are usually used to provide the real-time position and orientation of the bottom hole assembly (BHA) during drilling. However, the present MWD systems based on magnetic surveying technology can barely ensure good performance because of magnetic interference phenomena. In this paper, a MWD surveying system based on a fiber optic gyroscope (FOG) was developed to replace the magnetic surveying system. To accommodate the size of the downhole drilling conditions, a new design method is adopted. In order to realize long-term and high position precision and orientation surveying, an integrated surveying algorithm is proposed based on inertial navigation system (INS) and drilling features. In addition, the FOG-based MWD error model is built and the drilling features are analyzed. The state-space system model and the observation updates model of the Kalman filter are built. To validate the availability and utility of the algorithm, the semi-physical simulation is conducted under laboratory conditions. The results comparison with the traditional algorithms show that the errors were suppressed and the measurement precision of the proposed algorithm is better than the traditional ones. In addition, the proposed method uses a lot less time than the zero velocity update (ZUPT) method.
authors.affiliation: School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China. zhangchunxi@buaa.edu.cn.
authors.forename: Chunxi
authors.initials: C
authors.lastname: Zhang
authors.affiliation: School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China. opticlin@163.com.
authors.forename: Tie
authors.initials: T
authors.lastname: Lin
keywords: Kalman filter; fiber optic gyroscope (FOG); inertial navigation system (INS); measurement while drilling (MWD); minimum curvature method (MCM)