摘要
为提供更加科学的测斜数据,针对光纤陀螺(FOG)连续测斜仪建立了井眼轨迹不确定性分析模型。模型中全面地考虑了在连续测量过程中光纤陀螺随机噪声项的影响,提高了模型的准确度。利用某口井的数据,在静态和振动条件下,分别对比了传统模型和改进模型的计算结果。结果表明,传统的陀螺仪器模型只适用于静态环境下的连续测量;在振动条件下,利用Allan方差法分析出的随机噪声项用于建模可提高不确定性分析的准确度。由于井下环境恶劣,改进后的模型更适用于FOG仪器。
In order to provide more accurate trajectory data,this paper establishes an analysis model of borehole trajectory uncertainty based on fiber optic gyroscope(FOG)survey tool.The model comprehensively considers the influence of random noise of FOG in the measurement process,thus improving the accuracy of the model.Based on field data,the results obtained by the traditional model and improved model were compared respectively in static and vibration conditions.The results indicated that the traditional model is only suitable for the static condition.In vibration condition,the stochastic errors analyzed by the Allan variance method could improve the accuracy of the model.Due to the poor downhole conditions,the improved model is more suitable for FOG tools.
作者
高爽
李玲玲
张若愚
GAO Shuang;LI Lingling;ZHANG Ruoyu(School of Instrument Science and Optoelectronic Engineering,Beijing University of Aeronautics and Astronautics Beijing 100191,China)
出处
《测井技术》
CAS
CSCD
2018年第5期581-586,共6页
Well Logging Technology
关键词
光纤陀螺
测斜仪
ALLAN方差
随机噪声
井眼轨迹
不确定性分析
fiber optic gyroscope
inclinometer
Allan variance
stochastic error
well trajectory
uncertainty analysis
作者简介
第一作者:高爽,女,1977年生,博士,研究生导师,从事惯性导航方面的工作。E-mail:gaoshuang@buaa.edu.cn
