Optimized recovery method of wave field characteristics of tunnel drilling source of drilling jumbo and its engineering application

Abstract This study addresses the significant issue of wavefield mixing in seismic data acquired from tunnel drilling jumbo during urban tunnel construction. This paper compares and analyzes the effect of time-domain cross-correlation in the wavelet transform domain through simulation, and concludes that the combination of the time–frequency cross-correlation in the wavelet transform domain, which excels in noise suppression and in the ability of extracting related information, and the algorithm of spike deconvolution. An optimized recovery method for the wavefield characteristics of drilling jumbo drilling source is implemented. This paper focuses on the single-arm drilling source signal of drilling jumbo as the research object, and the equivalent pulse signal of the drilling source is obtained through the spike deconvolution. The equivalent pulse signal is then optimized using time–frequency cross-correlation in the wavelet transform domain, which improves the ability of extracting the valid reflective information and enhances the effect of the recovery of seismic data of drilling source of the drilling jumbo. The recovery effectiveness of the method of spike deconvolution-wavelet domain cross-correlation on the seismic recordings of the drilling source is analyzed, and the method is applied to practical engineering scenarios, thereby validating the effectiveness and feasibility of the method.

Authors

Institutions

Publication Details

Journal
Urban Lifeline
Published
2025-07-14
DOI
https://doi.org/10.1007/s44285-025-00041-8
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimized recovery method of wave field characteristics of tunnel drilling source of drilling jumbo and its engineering application

Weidong Guo, Ronghui Bai, Shaoshuai Shi, Zhenwei Tian
Urban Lifeline
Drilling and Well Engineering
article

Optimized recovery method of wave field characteristics of tunnel drilling source of drilling jumbo and its engineering application

Weidong Guo, Ronghui Bai, Shaoshuai Shi, Zhenwei Tian
article en

Abstract

Abstract This study addresses the significant issue of wavefield mixing in seismic data acquired from tunnel drilling jumbo during urban tunnel construction. This paper compares and analyzes the effect of time-domain cross-correlation in the wavelet transform domain through simulation, and concludes that the combination of the time–frequency cross-correlation in the wavelet transform domain, which excels in noise suppression and in the ability of extracting related information, and the algorithm of spike deconvolution. An optimized recovery method for the wavefield characteristics of drilling jumbo drilling source is implemented. This paper focuses on the single-arm drilling source signal of drilling jumbo as the research object, and the equivalent pulse signal of the drilling source is obtained through the spike deconvolution. The equivalent pulse signal is then optimized using time–frequency cross-correlation in the wavelet transform domain, which improves the ability of extracting the valid reflective information and enhances the effect of the recovery of seismic data of drilling source of the drilling jumbo. The recovery effectiveness of the method of spike deconvolution-wavelet domain cross-correlation on the seismic recordings of the drilling source is analyzed, and the method is applied to practical engineering scenarios, thereby validating the effectiveness and feasibility of the method.

Urban LifelineVol. 3(1)
Shandong University of Technology (CN), Shandong University (CN), Shandong Transportation Research Institute (CN)
Shandong University, Taishan Scholar Foundation of Shandong Province, National Natural Science Foundation of China
Openalex Percentile: Top 79%
Drilling and Well Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimized recovery method of wave field characteristics of tunnel drilling source of drilling jumbo and its engineering application — Weidong Guo, Ronghui Bai, et al. · Urban Lifeline (2025) | TGRS Research Map | TGRS