Results 91 to 100 of about 9,242 (223)

Review of the Inputs of Professor David Smythe in Relation to Planning Applications for Shale Gas Development in Lancashire (Planning Applications LCC/2014/0096 /0097 /0101 and /0102) and Associated Recommendations [PDF]

, 2014
No abstract ...
Westaway, Rob, Younger, Paul L.
core  

Historic microseismic data and their relation to the wave-climate in the North Atlantic

Meteorologische Zeitschrift, 2005
Microseismic data from observatories in Europe, which have been continuously recorded since about 100 years, contain information on the wave-climate in the North Atlantic. They can potentially be used as additional constraints in high-resolution temporal
Torsten Dahm, Frank Krüger, Heinz-Hermann Essen, Martin Hensch   +3 more
doaj   +1 more source

Deep Neural Networks for Detection and Location of Microseismic Events and Velocity Model Inversion from Microseismic Data Acquired by Distributed Acoustic Sensing Array. [PDF]

Sensors (Basel), 2021
Wamriew D, Pevzner R, Maltsev E, Pissarenko D.   +3 more
europepmc   +1 more source

Enhancing microseismic event detection with TransUNet: A deep learning approach for simultaneous pickings of P-wave and S-wave first arrivals

Artificial Intelligence in Geosciences
Microseismic monitoring is essential for understanding subsurface dynamics and optimizing oil and gas production. However, traditional methods for the automatic detection of microseismic events rely heavily on characteristic functions and human ...
Kun Chen, Meng Li, Xiaolian Li, Guangzhi Cui, Jia Tian, JiaLe Li, RuoYao Mu, JunJie Zhu   +7 more
doaj   +1 more source

Microseismic monitoring and numerical simulation on the stability of high-steep rock slopes in hydropower engineering

Journal of Rock Mechanics and Geotechnical Engineering, 2015
For high-steep slopes in hydropower engineering, damage can be induced or accumulated due to a series of human or natural activities, including excavation, dam construction, earthquake, rainstorm, rapid rise or drop of water level in the service lifetime
Chun'an Tang, Lianchong Li, Nuwen Xu, Ke Ma   +3 more
doaj   +1 more source

Analysis Of Microseismic Location Accuracy For Hydraulic Fracturing At The DWTI Site, Jasper, Texas [PDF]

, 1995
This report presents the results of a feasibility study designed to assess whether microseismic location techniques can provide enough accuracy and precision to enable a high resolution study of the spatial distribution of microseismic events induced ...
Rieven, Shirley, Rodi, William
core  

Research on Microseismic Magnitude Prediction Method Based on Improved Residual Network and Transfer Learning

Applied Sciences
To achieve more precise and effective microseismic magnitude estimation, a classification model based on transfer learning with an improved deep residual network is proposed for predicting microseismic magnitudes.
Huaixiu Wang, Haomiao Wang
doaj   +1 more source

Microseismicity data forecast rupture area [PDF]

Nature, 2005
Danijel Schorlemmer, Stefan Wiemer
openaire   +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

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