Results 101 to 110 of about 9,177 (222)

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

A Nonparametric Method for Automatic Denoising of Microseismic Data

Shock and Vibration, 2018
Noise suppression or signal-to-noise ratio (SNR) enhancement is often desired for better processing results from a microseismic dataset. In this paper, we proposed a nonparametric automatic denoising algorithm for microseismic data.
Pingan Peng, Liguan Wang
doaj   +1 more source

Microseismic study of the interandine valley between Latacunga and Cuayllabamba [PDF]

The present state of two active volcanoes and the principal active seismic faults in a 100 km area from Quito to Toacaso, Ecuador was studied.
Hall, M., Ramon, M.
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

A semblance-based microseismic event detector for DAS data

Geophysical Journal International
SUMMARY Distributed acoustic sensing (DAS) is becoming increasingly popular in microseismic monitoring operations. This data acquisition technology converts fibre-optic cables into dense arrays of seismic sensors that can sample the seismic wavefield produced by active or passive sources with a high spatial density, over distances ...
Porras, Juan, Pecci, Davide, Bocchini, Gian Maria, Gaviano, Sonja, De , Solda, Michele, Tuinstra, Katinka, Lanza, Federica, Tognarelli, Andrea, Stucchi, Eusebio, Grigoli, Francesco   +10 more
openaire   +4 more sources

The Marysville, Montana Geothermal Project [PDF]

Drilling the first geothermal well in Montana presented many challenges, not only in securing materials and planning strategies for drilling the wildcat well but also in addressing the environmental, legal, and institutional issues raised by the request ...
Kuwada, J. T., Mcspadden, W. R., Stewart, D. H.   +2 more
core   +1 more source

Microseismic Velocity Inversion Based on Deep Learning and Data Augmentation

Applied Sciences
Microseismic monitoring plays an essential role for reservoir characterization and earthquake disaster monitoring and early warning. The accuracy of the subsurface velocity model directly affects the precision of event localization and subsequent ...
Lei Li, Xiaobao Zeng, Xinpeng Pan, Ling Peng, Yuyang Tan, Jianxin Liu   +5 more
doaj   +1 more source

Hydraulic Fracturing Shear/Tensile/Compressive Crack Investigation Using Microseismic Data

Remote Sensing
In unconventional oil and gas development, the hydraulic fracturing (HF) technique is adopted to inject high-pressure fluid into the reservoir and change its pore-fracture connection structure to enhance production.
Han Li, Xu Chang, Jinlai Hao
doaj   +1 more source

Slope stability monitoring from microseismic field using polarization methodology

, 2003
International audienceNumerical simulation of seismoacoustic emission (SAE) associated with fracturing in zones of shear stress concentration shows that SAE signals are polarized along the stress direction.
Goldin, S. V., Kolesnikov, Yu. I., Nemirovich-Danchenko, M. M., Seleznev, V. S.   +3 more
core   +2 more sources

Using Fuzzy C-Means Clustering to Determine First Arrival of Microseismic Recordings

Sensors
Accurate and automatic first-arrival picking is one of the most crucial steps in microseismic monitoring. We propose a method based on fuzzy c-means clustering (FCC) to accurately divide microseismic data into useful waveform and noise sections.
Xiangyun Zhao, Haihang Chen, Binhong Li, Zhen Yang, Huailiang Li   +4 more
doaj   +1 more source