Results 91 to 100 of about 7,669 (224)

Fractal Characterization of Temporal and Spatial Evolution of Microseismic Events Before Rock Instability

Fractal and Fractional
Disaster warning is crucial for coal mine safety. However, capturing the precursor information of disaster occurrence remains a challenging task, especially the spatiotemporal fractal characteristics of microseismic events before large-scale fractures in
Lin Tian, Shijia Liu, Yunxing Cao, Menglong Wang, Shengliang Lu   +4 more
doaj   +1 more source

Real time identification of microseismic events based on ridge regression improved normative variable analysis

Gong-kuang zidonghua
The identification of microseismic events is the foundation of microseismic monitoring in coal mines. Most existing microseismic monitoring technologies are developed based on the variation law of single physical quantities, which can easily lead to ...
CHENG Jian, SHI Linsong, LUO Yi, ZHOU Tianbai, YANG Lingkai   +4 more
doaj   +1 more source

Quantitative Evaluation of the “Non-Enclosed” Microseismic Array: A Case Study in a Deeply Buried Twin-Tube Tunnel

Energies, 2019
The high-stress hazards of underground engineering have stimulated the exploration of microseismic monitoring and early warning methods. To achieve a good monitoring effect, the monitoring object is usually enclosed by a microseismic array (sensor array)
Hang Zhang, Chunchi Ma, Tianbin Li
doaj   +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

Automated Monitoring of a Hydraulic Fracture by Coalescence Microseismic Mapping

, 2010
Coalescence microseismic mapping (CMM) is a method of hypocenter determination that does not require any human interaction during microseismic monitoring.
Bill Underhill, Shawn Maxwell, James Wolfe, J. Craig Woerpel   +3 more
core   +1 more source

From Points to Planes: A Workflow for Converting Three‐Dimensional Point Cloud Data Into Discrete Fracture Network Flow and Transport Models

Water Resources Research
We present the Point cLoud Algorithm for NEtwork Extraction of Discrete Fracture Networks (PLANE‐DFN), a point cloud–based algorithm for automatic fracture network extraction designed to support discrete fracture network (DFN) modeling workflows.
Collin R. Sutton, Jeffrey D. Hyman, Aleksandra A. Pachalieva, Christopher Zahasky   +3 more
doaj   +1 more source

Stability Evaluation on Surrounding Rocks of Underground Powerhouse Based on Microseismic Monitoring

Shock and Vibration, 2015
To study the stability of underground powerhouse at Houziyan hydropower station during excavation, a microseismic monitoring system is adopted. Based on the space-time distribution characteristics of microseismic events during excavation of the main ...
Feng Dai, Biao Li, Nuwen Xu, Yongguo Zhu, Peiwei Xiao   +4 more
doaj   +1 more source

High-resolution microseismic imaging

, 2017
We examine the feasibility of high-resolution microseismic imaging of unconventional reservoirs. Given frequencies in typical downhole microseismic data that are almost an order of magnitude higher than in seismic reflection data, a comparable increase ...
Zhao Li, Bo Howell, Hugo Garcia, Tom Wooltorton, Vladimir Grechka   +4 more
core   +1 more source

MA_W-Net-Based Dual-Output Method for Microseismic Localization in Strong Noise Environments

Applied Sciences
With the continuous depletion of conventional oil and gas reservoir resources, the beginning of exploration and development of unconventional oil and gas reservoir resources has led to the rapid development of microseismic monitoring technology ...
Qiang Li, Fengjiao Zhang, Liguo Han
doaj   +1 more source

Solution of Microseismic Monitoring Non-Linear Location Equations Based Matlab

, 2011
Microseismic will produce when rock mass break. The occurrence of microseismic monitoring has close relationship to the energy release and crack's evolution in the rock mass. Therefore the microseismic monitoring can be used to predict the future rupture
Rui Ying Shi, Lai Xue Pang, Hong Shi
core   +1 more source