Using drilling noise and vibration signals for rock layer identification: a study on layered rock samples with weak interlayers

IF 4.2 2区工程技术 Q3 ENGINEERING, ENVIRONMENTAL Bulletin of Engineering Geology and the Environment Pub Date : 2025-02-14 DOI:10.1007/s10064-025-04139-9

Xiaolei Yue, Dan Huang, Zhongwen Yue, Jian Zhao

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Abstract

While-drilling identification technology is a crucial part of intelligent mining development. The results provide a scientific basis for real-time adjustment of support parameters, promotes safe and efficient mining. Noise and vibration generated during the rock drilling process vary significantly between different rock materials, offering a new method for identifying rock characteristics. This study used a digital drilling test system to conduct experiments on layered rocks with weak interlayers, monitoring drilling parameters and borehole sound pressure and vibration acceleration in real time. Time-domain and frequency-domain features of borehole sound pressure and vibration signals were analyzed to identify rock characteristics in weak interlayer areas. The results show that these methods can clearly identify the location of weak interlayers. The spectral characteristics of different rock materials are significantly different, indicating a strong correlation between borehole sound and vibration characteristics and the mechanical properties of the rock. Comparing sound and vibration identification results with drilling parameters at weak interlayers verified the accuracy of the identification, providing a basis for lithology identification using multiple parameters. This study shows the importance of drilling noise and vibration parameters in enhancing while-drilling parameters in the digital drilling process.

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利用钻井噪声和振动信号进行岩层识别——含弱夹层的层状岩样研究

随钻识别技术是智能采矿发展的重要组成部分。研究结果为实时调整支护参数提供了科学依据，促进了矿山安全高效开采。岩石钻探过程中产生的噪声和振动在不同岩石材料之间存在显著差异，为识别岩石特征提供了一种新的方法。本研究采用数字化钻井试验系统，对夹层较弱的层状岩石进行实验，实时监测钻井参数、井眼声压和振动加速度。分析井眼声压和振动信号的时域和频域特征，识别弱层间区岩石特征。结果表明，该方法能较好地识别弱夹层的位置。不同岩石材料的频谱特征存在显著差异，说明钻孔声振动特征与岩石力学特性之间存在较强的相关性。将弱夹层声振识别结果与钻井参数进行对比，验证了识别的准确性，为多参数岩性识别提供了依据。研究表明，在数字化钻井过程中，钻井噪声和振动参数对提高随钻参数的重要性。

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来源期刊

Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合

CiteScore

7.10

自引率

11.90%

发文量

445

审稿时长

4.1 months

期刊介绍： Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.