基于H模型的随钻振动误差建模

杨金显,赵淳

振动与冲击 ›› 2021, Vol. 40 ›› Issue (20) : 56-62.

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PDF(1319 KB)
振动与冲击 ›› 2021, Vol. 40 ›› Issue (20) : 56-62.
论文

基于H模型的随钻振动误差建模

  • 杨金显,赵淳
作者信息 +

Vibration error modeling while drilling based on the H model

  • YANG Jinxian,ZHAO Chun
Author information +
文章历史 +

摘要

随钻测量时钻具振动使加速度测量信号失真,为获取真实随钻加速度,需要建立随钻非线性振动误差模型并予以补偿。考虑到钻具振动形式的复杂性,难以直接构造模型描述。从中间变量不可测的角度出发,视振动为模型输入的一种有色噪声,设计了一种基于Hammerstein(H)的加速度随机振动误差模型。利用改进的递推贝叶斯算法通过较少输入输出数据,在线辨识参数向量的估计值,同时引入条件阈值和调节系数,将MWD的钻头运动状态与调节系数关联来修正模型,提高辨识灵敏度。实验结果表明,该模型很好地拟合加速度随机振动误差序列,验证了建模的有效性。

Abstract

During measurement while drilling (MWD), the vibration of drilling tools can distort the measured signal of acceleration.To make up for measurement error, obtain the true acceleration while drilling, a nonlinear vibration error model needs to be established.In consideration of various vibration forms of drilling tools, it is difficult to construct a unified model to conduct research.In this work, vibration was treated as a kind of colored noise, and a Hammerstein (H)-based acceleration random vibration error model was proposed on the condition that intermediate variables are unmeasurable.The proposed model uses an improved recursive Bayes algorithm to identify the estimated values of parameter vectors online, merely with a small amount of input and output.Meanwhile, the model introduces conditional thresholds and adjustment coefficients, and associates the drill bit’s motion state during MWD with the adjustment coefficients to modify the proposed model and improve the identification sensitivity.The experimental results show that the model fits the acceleration random vibration error sequence well, which verifies the effectiveness and reliability.

关键词

随钻加速度 / Hammerstein模型 / 随机振动 / 误差建模

Key words

acceleration while drilling / Hammerstein model / random vibration / error modeling

引用本文

导出引用
杨金显,赵淳. 基于H模型的随钻振动误差建模[J]. 振动与冲击, 2021, 40(20): 56-62
YANG Jinxian,ZHAO Chun. Vibration error modeling while drilling based on the H model[J]. Journal of Vibration and Shock, 2021, 40(20): 56-62

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