基于SFO-SVMD的随钻动态测井加速度信号去噪方法

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中图分类号：TD67 文献标志码：A

文章编号：1672-7010（2025）04-0012-11

Denoising method for acceleration signals in measurement while drilling based on SFO-SVMD

PANG Jingyu， ZHENG Xiaoliang， YANG Shun， CHEN Xu， YANG Zhiqiang

（1. School of Electrical and Information Engineering，Anhui University of Science & Technology，

Huainan 232OO1， China;2. Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining，Anhui University of Science & Technology，Huainan 232OO1，China; 3.School of Public Safety and Emergency Management，Anhui University of Science & Technology，Hefei 231131， China; 4. School of Safety Science and Engineering， Anhui University of Science & Technology，Huainan 232OO1，China）

Abstract：To address inaccuracies in gravitational acceleration data caused by drill pipe rotation and vibration interference during measurement while drilling，this study proposes a denoising method for acceleration data using a sailfish optimizer （SFO）-parameterized sequential variational mode decomposition （SVMD） algorithm.First，the optimized SVMD algorithm decomposes raw triaxial acceleration data to isolate the intrinsic mode function component representing gravitational acceleration.Second，phasor mean cancelation removes potential static clutter from the isolated gravitational acceleration signals on the transverse x- axisand vertical z- （204 axis axes.Then，a mean-value method extracts the DC component from the isolated gravitational acceleration signal on the axial y- axis direction of drill pipe advancement.Ultimately，more accurate gravitational aceleration data areobtained，efectively mitigating interference from drillpipe rotation and vibration，thereby significantly enhancing the computational precision of attitude angles.

Key words：measurement while driling； signal denoising； sailfish optimizer; sequential variational modedecomposition；attitude angle

煤炭资源作为我国重要的能源基础，在能源消费结构中占据主导地位，其开采效率和安全性对国家能源战略具有举足轻重的影响[1]。（剩余10666字）