Acoustic wave-equation based full-waveform microseismic source location using improved scattering-integral approach

Huang, Chao; Dong, Lu; Liu, Yuzhu; Yang, Jizhong

doi:10.1093/gji/ggx087

Cited by 12 publications

(4 citation statements)

References 26 publications

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“…Then these inverted source parameters could be further incorporated into the FWI for velocity model updates as shown in simple 2‐D acoustic model. Huang et al (, ) developed an acoustic‐wave‐equation‐based FWI method to locate microseismic events. They proposed to evaluate Frechet derivatives with respect to location parameters and apply the truncated Gauss‐Newton method to accelerate the inversion process.…”

Section: Methodologiesmentioning

confidence: 99%

Recent Advances and Challenges of Waveform‐Based Seismic Location Methods at Multiple Scales

Tan

Schwarz

et al. 2020

Reviews of Geophysics

125

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Source locations provide fundamental information on earthquakes and lay the foundation for seismic monitoring at all scales. Seismic source location as a classical inverse problem has experienced significant methodological progress during the past century. Unlike the conventional traveltime‐based location methods that mainly utilize kinematic information, a new category of waveform‐based methods, including partial waveform stacking, time reverse imaging, wavefront tomography, and full waveform inversion, adapted from migration or stacking techniques in exploration seismology has emerged. Waveform‐based methods have shown promising results in characterizing weak seismic events at multiple scales, especially for abundant microearthquakes induced by hydraulic fracturing in unconventional and geothermal reservoirs or foreshock and aftershock activity potentially preceding tectonic earthquakes. This review presents a comprehensive summary of the current status of waveform‐based location methods, through elaboration of the methodological principles, categorization, and connections, as well as illustration of the applications to natural and induced/triggered seismicity, ranging from laboratory acoustic emission to field hydraulic fracturing‐induced seismicity, regional tectonic, and volcanic earthquakes. Taking into account recent developments in instrumentation and the increasing availability of more powerful computational resources, we highlight recent accomplishments and prevailing challenges of different waveform‐based location methods and what they promise to offer in the near future.

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Section: Methodologiesmentioning

confidence: 99%

Recent Advances and Challenges of Waveform‐Based Seismic Location Methods at Multiple Scales

Tan

Schwarz

et al. 2020

Reviews of Geophysics

125

View full text Add to dashboard Cite

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“…They tested the proposed location algorithm through 2D and 2.5D (a 2D velocity model is adopted in the vertical plane determined by the source location and sensor location) field and regional velocity models. While Huang et al [38,39] derived a waveform inversion-based location method that is independent from source-time characteristics, and they successfully applied the fast convergent truncated Newton method for microseismic source location based on 2D and 3D velocity models. Iteration-based optimization technique is often used in the above nonlinear waveform inversion-based location problem, which may be strongly affected by the initial model choice and cannot fully search the whole model space to obtain global convergence.…”

Section: Waveform Inversion-based Location Methodsmentioning

confidence: 99%

“…Tong et al [37] and Huang et al [38] derived wavefield modeling and waveform inversion-based location methods, by taking advantage of numerically solving the acoustic wave equations in time domain and frequency domain, respectively, and this study will carry out wavefield modeling under the same framework. The scalar acoustic wave equation in frequency domain can be expressed as follows:…”

Section: Wavefield Modeling Based On Acoustic Wave Equationmentioning

confidence: 99%

High-Accuracy Location of Microseismic Events in a Strong Inhomogeneous Mining Environment by Optimized Global Full Waveform Inversion

et al. 2020

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High-accuracy determination of a microseismic (MS) location is the core task in MS monitoring. In this study, a 3D multi-scale grid Green’s function database, depending on recording wavefield frequency band for the target mining area, is pre-generated based on the reciprocity theorem and 3D spectral element method (SEM). Then, a multi-scale global grid search strategy is performed based on this pre-stored Green’s function database, which can be effectively and hierarchically processed by searching for the spatial location. Numerical wavefield modeling by SEM effectively overcomes difficulties in traditional and simplified ray tracing modeling, such as difficult wavefield amplitude and multi-path modeling in 3D focusing and defusing velocity regions. In addition, as a key step for broadband waveform simulation, the source-time function estimated from a new data-driven singular value decomposition averaged fractional derivative based wavelet function (DD-SVD-FD wavelet) was proposed to generate high-precision synthetic waveforms for better fitting observed broadband waveform than those by simple and traditional source-time function. Combining these sophisticated processing procedures, a new robust grid search and waveform inversion-based location (GSWI location) approach is integrated. In the synthetic test, we discuss and demonstrate the importance of 3D velocity model accuracy to waveform inversion-based location results for a practical MS monitoring configuration. Furthermore, the average location error of the 3D GSWI location for eight real blasting events is only 15.0 m, which is smaller than error from 3D ray tracing-based location (26.2 m) under the same velocity model. These synthetic and field application investigations prove the crucial role of 3D velocity model, finite-frequency travel-time sensitivity kernel characteristics and accurate numerical 3D broadband wavefield modeling for successful MS location in a strong heterogeneous velocity model that are induced by the presence of ore body, host rocks, complex tunnels, and large excavations.

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“…When microseismic monitoring technology is properly employed to perform real-time monitoring and effectively analyse the instability and failure of a tunnel rock mass, one key step is that monitoring man can quickly and effectively distinguish microseismic events from a large number of noise disturbances [27][28][29]. erefore, the correct identification of the microseism waveform is an important component of microseismic monitoring and forecasting [30,31].…”

Section: Analysis and Recognition Of Various Event Waveformsmentioning

confidence: 99%

Research on the Law of Large-Scale Deformation and Failure of Soft Rock Based on Microseismic Monitoring

Chen

Tang

et al. 2018

Advances in Civil Engineering

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Based on the existing Canadian ESG microseismic monitoring system, a mobile microseismic monitoring system for a soft rock tunnel has been successfully constructed through continuous exploration and improvement to study the large-scale nucleation and development of microfractures in the soft rock of the Yangshan Tunnel. All-weather, continuous real-time monitoring is conducted while the tunnel is excavated through drilling and blasting, and the waveform characteristics of microseismic events are analysed. rough the recorded microseismic monitoring data, the variation characteristics of various parameters (e.g., the temporal, spatial, and magnitude distributions of the microseismic events, the frequency of microseismic events, and the microseismic event density and energy) are separately studied during the process of large-scale deformation instability and failure of the soft rock tunnel. e relationship between the deterioration of the rock mass and the microseismic activity during this failure process is consequently discussed. e research results show that a microseismic monitoring system can be used to detect precursors; namely, the microseismic event frequency and energy both will appear "lull" and "active" periods during the whole failure process of soft rock tunnel. Two peaks are observed during the evolution of failure. When the second peak occurs, it is accompanied by the destruction of the surrounding rock. e extent and strength of the damage within the surrounding rock can be delineated by the spatial, temporal, and magnitude distributions of the microseismic events and a microseismic event density nephogram. e results of microseismic analysis confirm that a microseismic monitoring system can be used to monitor the largescale deformation and failure processes of a soft rock tunnel and provide early warning for on-site construction workers to ensure the smooth development of the project.

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Acoustic wave-equation based full-waveform microseismic source location using improved scattering-integral approach

Cited by 12 publications

References 26 publications

Recent Advances and Challenges of Waveform‐Based Seismic Location Methods at Multiple Scales

Recent Advances and Challenges of Waveform‐Based Seismic Location Methods at Multiple Scales

High-Accuracy Location of Microseismic Events in a Strong Inhomogeneous Mining Environment by Optimized Global Full Waveform Inversion

Research on the Law of Large-Scale Deformation and Failure of Soft Rock Based on Microseismic Monitoring

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