Signals filtering processing algorithm of measurement while drilling in catastrophic state

YANG Jinxian; LI Mingqi; CHAO Lijun

doi:10.13873/J.1000-9787(2020)10-0123-03

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Signals filtering processing algorithm of measurement while drilling in catastrophic state

更新时间：2025-09-11

- Signals filtering processing algorithm of measurement while drilling in catastrophic state
- Issue 10, Pages: 123-125+128(2020)
- 作者机构：
  
  河南理工大学电气工程与自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2020)10-0123-03
  CLC： TD163;TN713
- Published：2020
- 稿件说明：
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YANG Jinxian, LI Mingqi, CHAO Lijun. Signals filtering processing algorithm of measurement while drilling in catastrophic state[J]. 2020, (10): 123-125+128.
DOI：

YANG Jinxian, LI Mingqi, CHAO Lijun. Signals filtering processing algorithm of measurement while drilling in catastrophic state[J]. 2020, (10): 123-125+128. DOI： 10.13873/J.1000-9787(2020)10-0123-03.

摘要

为减小随机的突变信号对姿态解算精度的影响

提出一种自调节突变滤波(SACF)算法。构建随钻测量系统及动态测量方程;通过突变模型判断观测值是否发生突变并设计滤波算法;设计模拟和实际钻进实验

并将所提算法性能与未滤波效果进行比较。实验结果表明:所提算法可以有效处理强干扰环境中突变信号干扰

提高系统测量精度。

Abstract

In order to reduce the influence of random catastrophe signals on the precision of attitude calculation

a self-adjusting catastrophe filtering（ SACF） algorithm is proposed. The measurement while drilling（ MWD） system and the dynamic measurement equation are constructed. Catastrophe model is used to judge whether the observed values are catastrophic or not

and a filtering algorithm is designed. Simulated and actual drilling experiments are designed

and the performance of the proposed algorithm is compared with that of the unfiltered one. Experimental results show that the proposed algorithm can effectively deal with the catastrophic signal interference in strong interference environment

and improve the measurement precision of the system.

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