Efficiency Improvements for Distributed Acoustic Sensing Data Exchange Streamline Operations and Opens Access to New Uses

Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data

2020 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata50022.2020.9378084 ◽

2020 ◽

Author(s):

Vincent Dumont ◽

Veronica Rodriguez Tribaldos ◽

Jonathan Ajo-Franklin ◽

Kesheng Wu

Keyword(s):

Deep Learning ◽

Surface Wave ◽

Acoustic Sensing ◽

Sensing Data ◽

Wave Identification

Learnings from Distributed Acoustic Sensing Data Processing for Seismic Applications - A Case Study from the North Sea

78th EAGE Conference and Exhibition 2016 ◽

10.3997/2214-4609.201601601 ◽

2016 ◽

Author(s):

T. Hance ◽

T. Jiang ◽

G. Zhan ◽

E. Kjos ◽

R. Geetan ◽

...

Keyword(s):

Data Processing ◽

North Sea ◽

Acoustic Sensing ◽

Sensing Data ◽

The North ◽

The North Sea ◽

Seismic Applications

Near-surface S-wave velocity and attenuation structure from full-waveform inversion of distributed acoustic sensing data

10.1190/segam2021-3594244.1 ◽

2021 ◽

Author(s):

Luping Qu ◽

Wenyong Pan ◽

Kristopher A. Innanen ◽

Jan Dettmer ◽

Marie Macquet ◽

...

Keyword(s):

Wave Velocity ◽

Waveform Inversion ◽

Full Waveform Inversion ◽

S Wave ◽

Near Surface ◽

Acoustic Sensing ◽

Sensing Data ◽

Full Waveform ◽

Attenuation Structure ◽

Detecting microseismic events in downhole distributed acoustic sensing data using convolutional neural networks

10.1190/segam2019-3214863.1 ◽

2019 ◽

Cited By ~ 1

Author(s):

Gary Binder ◽

Dwaipayan Chakraborty

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Acoustic Sensing ◽

Sensing Data ◽

Microseismic Events ◽

Seismic Attributes Application for the Distributed Acoustic Sensing Data for the Marcellus Shale: New Insights to Cross-Stage Flow Communication

10.2118/189888-ms ◽

2018 ◽

Cited By ~ 4

Author(s):

Payam Kavousi Ghahfarokhi ◽

Timothy Carr ◽

Liaosha Song ◽

Priyavrat Shukla ◽

Piyush Pankaj

Keyword(s):

Marcellus Shale ◽

Seismic Attributes ◽

Acoustic Sensing ◽

Sensing Data ◽

Convolutional neural networks for automated microseismic detection in downhole distributed acoustic sensing data and comparison to a surface geophone array

Geophysical Prospecting ◽

10.1111/1365-2478.13027 ◽

2020 ◽

Vol 68 (9) ◽

pp. 2770-2782 ◽

Cited By ~ 2

Author(s):

Gary Binder ◽

Ali Tura

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Acoustic Sensing ◽

Sensing Data ◽

On the Impact of the Gauge Length Value on Distributed Acoustic Sensing Data Quality

10.3997/2214-4609.202011724 ◽

2020 ◽

Author(s):

C. Jestin ◽

G. Calbris ◽

V. Lanticq ◽

M. Røed ◽

C. Ringstad

Keyword(s):

Data Quality ◽

Gauge Length ◽

Acoustic Sensing ◽

Sensing Data ◽

The Impact

Improving Signal-To-Noise Ratio of Distributed Acoustic Sensing Data via Super-Virtual Refraction Interferometry

10.3997/2214-4609.201901122 ◽

2019 ◽

Author(s):

M. Almarzoug ◽

A. Alshuhail ◽

A. Aldawood

Keyword(s):

Signal To Noise Ratio ◽

Signal To Noise ◽

Acoustic Sensing ◽

Sensing Data ◽

Noise Ratio

Efficient Processing of Distributed Acoustic Sensing Data Using a Deep Learning Approach

Journal of Lightwave Technology ◽

10.1109/jlt.2019.2919713 ◽

2019 ◽

Vol 37 (18) ◽

pp. 4755-4762 ◽

Cited By ~ 3

Author(s):

Lihi Shiloh ◽

Avishay Eyal ◽

Raja Giryes

Keyword(s):

Deep Learning ◽

Learning Approach ◽

Acoustic Sensing ◽

Sensing Data ◽

Efficient Processing ◽