[S-SS07] Environmental Seismology: from deep earth to surface process

[SSS07-10] Seismic while excavation detection technology and application in coal mine roadways

*Shenglin Li¹、Pingsong Zhang¹、Xiongwu Hu¹、Haibo Wu¹、Chaoqiang Xi¹、Rongxin Wu¹、Shiang Xu¹、Jiaxin Chen¹、Shi Qiu¹、Liquan Guo¹、Ze Bai¹ (1.Anhui University of Science and Technology)

キーワード：Seismic while excavation, Seismic interferometry, Full waveform inversion, Coal roadway

Coal plays a crucial role in supporting the long-term development of China's national economy. In the context of the nation and industry promoting the construction of intelligent mining operations, there is an urgent demand for rapid and intelligent roadway excavation. Ensuring safe coal mine production has always been a core objective of the industry, and real-time, accurate geological assurance serves as the foundation for achieving rapid intelligent excavation. Seismic while excavation (SWE) detection, with its unique ability to facilitate real-time forward exploration during roadway excavation without pausing operations, has gradually emerged as a key technological solution to the challenges of detecting concealed geological structures. By utilizing the noise generated by excavation machinery as the seismic source, this technology not only avoids interference from machinery and electromagnetic noise but also circumvents the limitations and risks associated with traditional hammer or explosive sources. As a result, it significantly enhances excavation efficiency, reduces safety risks, and improves detection precision through spatiotemporal data stacking. The primary development direction for SWE technology in coal mine roadways is time-domain interferometric imaging, with the quality of virtual shot gather reconstruction being a central focus. Through extensive theoretical and experimental research, we propose a virtual shot gather reconstruction algorithm based on pulse deconvolution and cross-correlation. Furthermore, to address the limited imaging accuracy of traditional roadway forward detection methods, we introduce Full waveform inversion (FWI) as a technique for seismic forward detection imaging. To mitigate the problem of cycle skipping in the FWI of seismic advanced detection within roadways and to enhance inversion accuracy, a study was undertaken to investigate the impact characteristics of FWI under these unique observational conditions present. Initiating from the model structure and incorporating a time-domain multi-scale inversion strategy, a novel approach was proposed for constructing a single-scale initial model based on wave velocity structure correction, thereby yielding a more accurate initial model for subsequent scales of inversion. Furthermore, a convolutional wavelet-independent inversion method, along with a total variation regularization approach, was introduced to effectively tackle the challenges of wavelet estimation in actual data inversion, as well as to more effectively mitigate the nonlinearity and ill-posedness inherent in the inversion process. The proposed methods can accurately determine the distribution of adverse geological bodies ahead of the excavation face, thereby providing essential geological information for roadway excavation and ensuring operational safety.