Results 81 to 90 of about 4,586 (215)

Distributed Compressed Sensing of Microseismic Signals Through First Break Time Extraction and Signal Alignment

IEEE Access, 2018
Microseismic monitoring is widely applied in dams, mines, and various fields of underground engineering. The number of sensors in microseismic monitoring systems is usually very large, which will result in a huge amount of data being produced if the ...
Ran Zhang, Qingsong Hu, Gang Wang, Bin Ye   +3 more
doaj   +1 more source

Full-waveform Based Complete Moment Tensor Inversion and Stress Estimation from Downhole Microseismic Data for Hydrofracture Monitoring [PDF]

, 2011
Downhole microseismics has gained increasing popularity in recent years as a way to characterize hydraulic fracturing and to estimate in-situ stress state.
Song, Fuxian, Toksoz, M. Nafi
core  

Ambient‐Noise Multicomponent Multimodal Dispersion Characteristics in Thick Sedimentary Basins

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Ambient noise cross‐correlations enable the extraction of multimodal surface waves, yet resolving their complex dispersion characteristics is essential for robust subsurface imaging. Using dense array data from the North China Plain, we resolve multicomponent multimodal Rayleigh and Love wave dispersion with unprecedented detail.
Gongheng Zhang, Chunquan Yu, Zhengbo Li, Xiaofei Chen, Caiwang Shi, Xuping Feng, Fanchang Meng, Bo Li   +7 more
wiley   +1 more source

Near‐Field Acoustic Imaging Using Fiber‐Optic Distributed Acoustic Sensing and Beamforming Techniques

Advanced Science, Volume 13, Issue 6, 30 January 2026.
This work introduces a beamforming‐based method to generate acoustic images from fiber‐optic distributed acoustic sensing (DAS) data. By performing 2D scanning around the sensing fiber, the approach enables near‐field imaging and localization of acoustic sources, even in regions distant from the fiber. A data‐driven DAS channel selection improves image
Marcelo A. Soto, Diego Badillo‐San‐Juan   +1 more
wiley   +1 more source

Characterizing swells in the southern Pacific from seismic and infrasonic noise analyses

, 2006
International audienceA temporary network of 10 broad-band seismic stations has been installed in French Polynesia for the Polynesian Lithosphere and Upper Mantle Experiment (PLUME).
Aki, Barruol, Barruol, Barstow, Beauduin, Bonneville, Booij, Booij, Bromirski, Bromirski, Bromirski, Cansi, Cessaro, Chave, Clouard, Darbyshire, Dominique Reymond, Evers, Fabrice R. Fontaine, Fontaine, Garcés, Grevemeyer, Guilhem Barruol, Hasselmann, Haubrich, Hedlin, Hoteling, Hyvernaud, Jordahl, Kanamori, Keitapu Maamaatuaiahutapu, Kibblewhite, Laurent, Le Pichon, Le Pichon, Longuet-Higgins, Maggi, Müller, Olivier Hyvernaud, Pearson, Peterson, Rancher, Rasolofosaon, Reymond, Schulte-Pelkum, Shapiro, Sorrels, Sorrels, Stutzmann, Talandier, Talandier, Talandier, Tolman, Tolman, Vincent Maurer, Webb, Zürn   +56 more
core   +3 more sources

Downhole microseismic monitoring for low signal-to-noise ratio events [PDF]

Journal of Geophysics and Engineering, 2016
Microseismic monitoring plays an important role in the process of hydraulic fracturing for shale gas/oil production. The accuracy of event location is an essential issue in microseismic monitoring. The data obtained from downhole monitoring system usually show a higher signal-to-noise ratio (SNR) than the recorded data from the surface.
Hang Zhou, Wei Zhang, Jie Zhang
openaire   +1 more source

Impact of Inter‐Well Stress Interference on Multifracture Propagation in Tight Reservoirs

Energy Science &Engineering, Volume 14, Issue 1, Page 347-363, January 2026.
This study presents a integrated computational‐experimental framework for modeling complex fracture propagation. Using a novel cell‐based fracture element approach with defined geometric and mechanical parameters, we simulate crack paths under varying stress conditions (e.g., SH‐Sh = 130 psi).
Xiangwu Bai, Zhiping Li, Fengpeng Lai, Chunyan Liu   +3 more
wiley   +1 more source

Identification of Microseismic Signals in Coal Mine Rockbursts Based on Hybrid Feature Selection and a Transformer

Applied Sciences
Deep learning algorithms are pivotal in the identification and classification of microseismic signals in mines subjected to impact pressure. However, conventional machine learning techniques often struggle to balance interpretability, computational ...
Jizhi Zhang, Hongwei Wang, Tianwei Shi
doaj   +1 more source

Crustal Structure Across the Okavango Rift, Botswana: The SEISORZ Wide‐Angle Seismic Experiment

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 1, January 2026.
Abstract The Okavango Rift Zone (ORZ) is an incipient continental rift in Botswana at the terminus of the Southwestern Branch of the East African Rift System. The lack of syn‐rift magmatism and tectonic processes overprinting pre‐rift structures provide an opportunity to investigate incipient‐stage rift processes and the role of pre‐existing structures
J. Pablo Canales, Lucky Moffat, Kebabonye Laletsang, Daniel Lizarralde, Steven Harder, Galen Kaip, Estella A. Atekwana, Motsoptse P. Modisi   +7 more
wiley   +1 more source

Denoising method and application of microseismic signals for coal seam hydraulic fracturing based on deep neural network mode

Meitan xuebao
To address the challenges of low signal-to-noise ratio and difficulty in phase picking of microseismic signals induced by coal fracturing during hydraulic fracturing in coal seams, a deep neural network model based on a masking strategy is proposed (Mask
Quangui LI, Yulong ZHAO, Qianting HU, Yunpei LIANG, Wanjie SUN, Wenxi LI, Jinfei ZHAN, Jiangfu HE, Kun HE, Haiyu CHEN   +9 more
doaj   +1 more source