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A Long-Term Performance Enhancement Method for FOG-Based Measurement While Drilling

机译：基于FOG的随钻测量的长期性能增强方法

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摘要

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.
机译：在石油工业中，随钻测量（MWD）系统通常用于在钻探期间提供井底钻具（BHA）的实时位置和方向。然而，由于电磁干扰现象，目前基于磁测量技术的MWD系统几乎不能保证良好的性能。本文开发了一种基于光纤陀螺仪（FOG）的MWD测量系统，以取代磁性测量系统。为了适应井下钻井条件的大小，采用了一种新的设计方法。为了实现长期，高位精度和方位测量，提出了一种基于惯性导航系统（INS）和钻井特征的综合测量算法。此外，建立了基于FOG的MWD误差模型并分析了钻井特征。建立了卡尔曼滤波器的状态空间系统模型和观测更新模型。为了验证算法的可用性和实用性，在实验室条件下进行了半物理模拟。与传统算法的结果比较表明，该算法抑制了误差，并且测量精度优于传统算法。此外，与零速度更新（ZUPT）方法相比，该方法使用的时间少得多。

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