Extraction and identification of spectrum characteristics of coal and rock hydraulic fracturing and uniaxial compression signals
Ya'nan Qian1
Quangui Li2
Qianting Hu1
Zhizhong Jiang3
Ronghui Liu1
Jie Li4
Wenxi Li1
Changjun Yu1
1.State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China;School of Resources and Safety Engineering,Chongqing University,Chongqing 400044,China2.State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China;School of Resources and Safety Engineering,Chongqing University,Chongqing 400044,China;State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines(Anhui University of Science and Technology),Huainan 232001,China3.Mining College of Guizhou University,Guiyang 550025,Guizhou,China4.State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China;School of Resources and Safety Engineering,Chongqing University,Chongqing 400044,China;China Coal Technology and Engineering Group Shenyang Research Institute,Fushun 113122,China
摘要：Microseismic(MS)events generated during coal and rock hydraulic fracturing(HF)include wet events caused by fractur-ing fluid injection,in addition to dry events caused by stress perturbations.The mixture of these two events makes effective fracturing MS events pickup difficult.This study is based on physical experiments of different coal and rock HF and uniaxial compression.The differences of waveform characteristic parameters of various coal and rock ruptures were analyzed using the Hilbert-Huang transform,leading to some useful conclusions.The phase characteristics of the acoustic emission(AE)energy differed significantly and responded well to the pumping pressure curve.The AE waveforms of HF exhibit similar energy and frequency distribution characteristics after Empirical mode decomposition.The main frequency bands for coal,sandstone,and shale samples are 100-300 kHz,while the mudstone sample is in the range of 50-150 kHz.The decay ratios for coal,sandstone,shale and mudstone samples are 0.78,0.83,0.67 and 0.85,respectively.When compared to the uniaxial compression test,the main frequency bands of HF were reduced for coal,sandstone and mudstone samples,whereas shale remained essentially unchanged.The duration,instantaneous energy,and total energy of the HF waveform are smaller than those of uniaxial compression,while the decay ratio is greater,especially for the mudstone samples.The waveform characteristic parameters,trained using the multilayer perceptron neural network,can effectively identify HF and uniaxial compression events with an accuracy of 96％.
机标关键词：characteristicsidentificationspectrumrockcoalcompressionextractionfracturing
论文发表日期：2023-08-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：16( 1-16 )
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