Results 41 to 50 of about 23,608,882 (224)

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Microseismic Location Using Differential Backazimuth Angles [PDF]

, 2016
The most common procedure for locating borehole microseismic events is solution of a minimization problem based on observed travel time differences compared to calculated travel time differences derived from a given velocity model and oriented geophones.
Jacobsen, Rae
core  

Cooperative joint inversion of magnetotelluric and microseismic data for imaging The Geysers geothermal field, California, USA [PDF]

, 2023
The Geysers geothermal field located in northern California, USA, is the world's largest electricity-generating geothermal facility. To delineate the spatio-temporal distribution of reservoir steam and recharge water, we have collected microseismic and ...
Jared R. Peacock, David L. Alumbaugh, Um, Evan Schankee, Gritto, Roland, Hartline, Craig, Peacock, Jared R, Alumbaugh, David L, Jarpe, Steve P, Craig Hartline, Commer, Michael, Roland Gritto, Evan Schankee Um, Steve P. Jarpe, Michael Commer   +13 more
core   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Denoising Method for Microseismic Signals with Convolutional Neural Network Based on Transfer Learning

International Journal of Computational Intelligence Systems, 2023
Microseismic signals contain various information for oil and gas developing. Increasing the signal-to-noise ratio of microseismic signals can successfully improve the effectiveness of oil and gas resource exploration.
Xuegui Li, Shuo Feng, Yuantao Guo, Hanyang Li, Yingjie Zhou   +4 more
doaj   +1 more source

Mechanism of “seesaw‐type” rock burst in coal seam mining beneath mountainous areas

Deep Underground Science and Engineering, EarlyView.
This study reveals the mechanism of “seesaw‐type” rock bursts during coal mining beneath mountainous areas. The advancing working face induces nonuniform fracturing of the overburden. The detached mountain mass then undergoes a seesaw‐type rotational movement around a shifting pivot, driving the primary fracture through a characteristic “open‐close ...
Chao Zhou, Xueqiu He, Zhenlei Li, Ping Wang, Dazhao Song, Fuxing Jiang, Shan Yin, Anliang Lü, Menghan Wei, Taoping Zhong   +9 more
wiley   +1 more source

Microseismic monitoring of the controls on coastal rock cliff erosion [PDF]

, 2012
The aim of this thesis has been to improve understanding of the controls on coastal rock cliff erosion, utilising microseismic ground motion. Coastal cliff erosion has remained poorly understood, in part confounded by the challenges associated with ...
NORMAN, EMMA,CATHERINE, Norman, Emma Catherine   +1 more
core  

An Effective Denoising Method Based on Cumulative Distribution Function Thresholding and its Application in the Microseismic Signal of a Metal Mine With High Sampling Rate (6 kHz)

Frontiers in Earth Science, 2022
Microseismic events can be used to analyze the risk of tunnel collapse, rock burst, and other mine hazards in space and time. In practice, the artificial activities and other signals at the mining site can seriously interfere with the microseismic ...
Da Zhang, Da Zhang, Da Zhang, Zhiyi Zeng, Zhiyi Zeng, Zhiyi Zeng, Yaqian Shi, Yaqian Shi, Yaqian Shi, Ying Chang, Ying Chang, Ying Chang, Rui Dai, Rui Dai, Rui Dai, Hu Ji, Hu Ji, Hu Ji, Peng Han, Peng Han, Peng Han   +20 more
doaj   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

Deep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan, Zhimin Xu, Weixiao Chen, Chenghang Zhang, Shijie Xiong, Yajun Sun   +5 more
wiley   +1 more source

Comparison of Surface and Downhole Microseismic Acquisition [PDF]

, 2017
The most common microseismic monitoring methods used in the industry today are by the use of surface arrays and downhole arrays. In surface acquisition, sensors are deployed on the surface in large two-dimensional arrays, allowing this method to provide
Rohan, Kara
core