Results 91 to 100 of about 23,608,882 (224)

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

Discovery of Hidden Structures in Microseismic Data Using Tensor Decompositions and Multiway Component Analysis [PDF]

, 2020
Microseismic data is used by companies to analyze and check numerous processes, including horizontal well performance, directional drilling and, most recently, hydraulic fracturing.
Yatsenko, Maxim Andreevich
core   +1 more source

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

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

The structure-tensor analysis for optimal microseismic data partial stack

, 2016
Microseismic monitoring of hydrofrac is an actively developing technology utilizing various acquizition arrays. In this paper we consider processing of microseismic data recorded by specific surface network geometry-patch arrays (far separated local ...
Fredrik Andersson, Duchkov, Anton, Anton A. Duchkov, Loginov, Georgy N., Andersson, Fredrik, Georgiy Loginov   +5 more
core   +1 more source

Microseismic Velocity Inversion Based on Deep Learning and Data Augmentation

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, Yuyang Tan, Xinpeng Pan, Xiaobao Zeng, Jianxin Liu, Ling Peng   +5 more
core   +1 more source

INTEGRATED INTERPRETATION OF BOREHOLE MICROSEISMIC DATA FROM HYDRAULIC FRACTURING STIMULATION TREATMENTS [PDF]

, 2014
Sequence stratigraphic principles provide means to interpret the geological framework and likelihood of finding hydrocarbon–bearing rocks. In this work, I show that they can also be used to predict and better interpret the microseismic response ...
Cabarcas Bejarano, Carlos Luis
core  

Microseismicity data forecast rupture area [PDF]

Nature, 2005
Danijel Schorlemmer, Stefan Wiemer
openaire   +1 more source

Petroleum reservoir characterization using downhole microseismic monitoring

, 2010
Imaging of microseismic data is the process by which we use information about the source locations, timing, and mechanisms of the induced seismic events to make inferences about the structure of a petroleum reservoir or the changes that accompany ...
R. Jones, M. Fehler, J. Rutledge, S. C. Maxwell   +3 more
core   +1 more source