Results 91 to 100 of about 3,230 (205)

Estimation of Abilities of Surface Microseismic Monitoring during Hydraulic Fracturing

, 2017
This paper deals with methodical aspects of the microseismic monitoring as used to localize cracking which accompanies hydraulic fracturing (HF), and with the issue of recording useful signals from the surface where reception conditions are highly ...
A. V. Shumilov, R. A. Dyagilev
core   +1 more source

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

Estimating microseismic detectability of the surface-monitoring network using downhole-monitoring array

, 2018
We have analyzed microseismic monitoring data sets obtained from the surface and downhole-monitoring arrays recorded during the first experiment of hydraulic fracturing in Poland.
Eryk Święch, Andrzej Pasternacki, Tomasz Maćkowski, Leo Eisner, Paweł Wandycz, Denis Anikiev   +5 more
core   +1 more source

CAE Neural Network and Reverse-Time Localization Imaging Method for Picking of Downhole Fracturing Microseismic Signal

IEEE Access
Effective surface-based monitoring of microseismic signals generated by hydraulic fracturing in drilling is of significant importance to increase oil and gas production.
Wei Wang, Tingting Lin, Chaoqun Shi
doaj   +1 more source

Test and Development of Microseismic Monitoring

Journal of Environmental Science and Engineering B
This is a continuation of the article “Ground Monitoring of Microseismic Based on Low Signal-to-Noise Ratio”, and a further summary and reflection after investigating the current situation of microseismic monitoring. It is difficult to provide necessary and sufficient conditions to test the reliability of microseismic monitoring.
openaire   +1 more source

Microseismic monitoring of an unstable rock face - Preliminary signal classification

, 2015
We analyse signals collected by a microseismic monitoring network installed on an unstable rock face threatening the city of Lecco, in the North of Italy. We propose a classification process based on parameters computed in both time and frequency domains
D. Arosio, L. Longoni, AROSIO, Diego, LONGONI, LAURA, PAPINI, MONICA, Zanzi, L., M. Papini, Longoni, L., ZANZI, LUIGI, L. Zanzi, Papini, M.   +10 more
core   +1 more source

Automatic location of surface-monitored microseismicity with deep learning

Earthquake Research Advances
Accurate and rapid determination of source locations is of great significance for surface microseismic monitoring. Traditional methods, such as diffraction stacking, are time-consuming and challenging for real-time monitoring.
Zhaolong Gan, Xiao Tian, Xiong Zhang, Mengxue Dai   +3 more
doaj   +1 more source

Integrating Microseismic Monitoring for Predicting Water Inrush Hazards in Coal Mines

The essence of roof water inrush in coal mines fundamentally stems from the development of water-bearing fracture zones, facilitating the intrusion of overlying aquifers and thereby leading to water hazard incidents. Monitoring rock-fracturing conditions
Baotong Xu, Qixing Li, Shangxian Yin, Yakun Huang, Zhengrui Ren, Xiangxue Xia, Qing Zhang, Songlin Yang, Tao Yan, Wei Wu, Hui Yao, Jia Kang, Huiqing Lian   +12 more
core   +1 more source

Investigation of coal and gas outburst risk by microseismic monitoring. [PDF]

PLoS One, 2019
Wang A, Song D, He X, Dou L, Li Z, Zu Z, Lou Q, Zhao Y.   +7 more
europepmc   +1 more source

Stability Analysis of Surrounding Rock in Mining Tunnels Based on Microseismic Monitoring and Numerical Simulation

In response to the safety hazards and environmental impacts caused by the decrease in the stability of the surrounding rock of the roadway and the frequent occurrence of microseismic activities during coal mining, the 4331 fully mechanized mining face of
Chuanqu Zhu, Pei Tang, Qingfeng Li, Hao Wu   +3 more
core   +1 more source