Results 91 to 100 of about 5,383,519 (211)

Conditional Diffusion Model for Robust 3-D Microseismic Event Localization from Noisy Waveforms

Locating microseismic events is crucial to monitoring fracking activities, CO2 injection, and reservoirs in general. However, the process of locating such events is challenging, especially in low signal-to-noise scenarios.
Wamriew, Daniel, Alkhalifah, Tariq Ali
core   +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

Grain‐Scale Heterogeneity in Fault Veins Influences Shear Rupture, Damage Distribution, and Microseismicity

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Fault veins, mineral‐filled fractures within fault zones, exhibit substantial grain‐scale structural variation, yet, the mechanical consequences of this heterogeneity on fault deformation and seismicity remain poorly constrained. Here, we use the Discrete Element Method to investigate how grain‐scale heterogeneity in quartz veins, which are ...
Lie Kong, Nico Bigaroni, Bing Qiuyi Li, Qinxin Hu, Pathegama Gamage Ranjith, Junlong Shang   +5 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

Patterns and Drivers of Cliff Erosion in Big Sur, California, USA Using Repeat Photogrammetry, 2017–2023

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Seacliff erosion in steep terrain poses major risks to transportation and critical infrastructure. In Big Sur, California, USA, seacliff erosion threatens the sustainability of the central coast stretch of California State Route 1, a transportation corridor that is critical to the region's economy.
Helen W. Dow, Jonathan A. Warrick, Andrew C. Ritchie   +2 more
wiley   +1 more source

Evaluating Deep‐Learning‐Based Earthquake Detection in a Sparse Coastal Network: Insights From the 2017 Changdao Swarm, Eastern China

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Constructing reliable earthquake catalogs in regions with sparse station coverage and strong noise remains challenging. We evaluate the performance of a deep‐learning–based detection and location workflow (LOC‐FLOW) using the 2017 Changdao offshore earthquake swarm in eastern China.
Peng Wang, Yanzhang Wang, Zonghui Dai, Jianchang Zheng, Xue Kong   +4 more
wiley   +1 more source

Seismicity, Repeating Earthquakes, and Tomographic Imaging of the Blanco Transform Fault System, Northeast Pacific

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract The Blanco transform fault system (BTFS) represents an evolving transform plate boundary in the Northeast Pacific Ocean. Its seismic behavior was captured with a dense network of 54 ocean‐bottom seismometers (OBS) operated for 1 year. We created a high‐resolution earthquake catalog based on different machine‐learning onset pickers.
D. Lange, Y. Ren, I. Grevemeyer
wiley   +1 more source

Microseismic Precursors of Coal Mine Water Inrush Characterized by Different Waveforms Manifest as Dry to Wet Fracturing

, 2022
Microseismic monitoring systems have been widely installed to monitor potential water hazards in limestone of the coal floor. The temporal and spatial distribution of rock fracture-induced microseismic events can be used as early warning indicators of ...
Nan Li, Huasheng Zha, Zha, Huasheng, Qian, Jiawei, Liu, Liang, Rui Yu, Li, Nan, Yu, Rui, Jiawei Qian, Liang Liu   +9 more
core   +1 more source

Key Criteria for a Successful Microseismic Project

, 2010
As microseismic monitoring expands, a wide variety of monitoring configurations have evolved including vertical, horizontal and deviated observation wells as well as surface and near-surface monitoring.
L.. Bennett, B.. Underhill, A.. Martinez, S. C. Maxwell, C.. Woerpel   +4 more
core   +1 more source

First Arrival Picking on Microseismic Signals Based on K-Means with a ReliefF Algorithm

, 2021
The quick and accurate picking of the first arrival on microseismic signals is one of the critical processing steps of microseismic monitoring. This study proposed a first arrival picking method for application to microseismic data with a low signal-to ...
Hanpeng Wang, Shufan Li, Zhengfang Wang, Qingmei Sui, Yijia Li, Zhiguo Cao, Jing Wang   +6 more
core   +1 more source