Research on Impedance Model of Intelligent Drill String Based on the Average Transformation Theory

Journal of Residuals Science & Technology Pub Date : 2017-01-01 DOI:10.12783/ISSN.1544-8053/14/S1/3

Hu Ze, Xie Xiaohui Chen Rong Ge Liang, Gu Sanchun

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引用次数: 1

Abstract

Cable transmission has its intrinsic advantages and it is the development tendency of intelligent drilling among all kinds of signal transmission. According to the structure characteristics of the intelligent drill string, this paper analyzes the transmission line distribution parameters of intelligent drill string combined with average transmission theory; transfer matrixes of single drill pipe, drill pipe joint and that of cascaded transmission line between them are all calculated by the transmission line transfer function; impedance model of intelligent drill string communication channel model are built according to that transfer matrix based on the two-port network, then this model is simulated by experiment and the result is analyzed; curve of error rate is got and the influence of different signal-noise ratio, different transmission rate and different transmission distance on signal transmission performance are analyzed. This model simplifies the calculation, and the frequency characteristics and attenuation characteristics of transmission line are obtained under the analog signal and the digital signal, then the average transmission signal characteristics of intelligent drill string is analyzed by intuitive squiggle. Maybe this paper could provide some theoretical guidance for intelligent drill string.

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基于平均变换理论的智能钻柱阻抗模型研究

电缆传输具有其固有的优势，是各种信号传输中智能钻井的发展趋势。根据智能钻柱的结构特点，结合平均输电理论，分析了智能钻柱的输电线路分布参数;单根钻杆、钻杆接头以及它们之间的级联传输线的传递矩阵均由传输线传递函数计算;根据基于双端口网络的传输矩阵，建立了智能钻柱通信信道模型的阻抗模型，并对该模型进行了实验仿真，并对仿真结果进行了分析;得到了误码率曲线，分析了不同信噪比、不同传输速率和不同传输距离对信号传输性能的影响。该模型简化了计算过程，得到了模拟信号和数字信号下传输线的频率特性和衰减特性，并用直观的曲线法分析了智能钻柱的平均传输信号特性。本文可以为智能钻柱的研制提供一定的理论指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Residuals Science & Technology 环境科学-工程：环境

自引率

0.00%

发文量

审稿时长

>36 weeks

期刊介绍： The international Journal of Residuals Science & Technology (JRST) is a blind-refereed quarterly devoted to conscientious analysis and commentary regarding significant environmental sciences-oriented research and technical management of residuals in the environment. The journal provides a forum for scientific investigations addressing contamination within environmental media of air, water, soil, and biota and also offers studies exploring source, fate, transport, and ecological effects of environmental contamination.