Convolutional neural networks for automated microseismic detection in downhole distributed acoustic sensing data and comparison to a surface geophone array-Reference-Cited by-同舟云学术

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

Published:2020-09-14 Issue:9 Volume:68 Page:2770-2782
ISSN:0016-8025
Container-title:Geophysical Prospecting
language:en
Short-container-title:Geophysical Prospecting

Author:

Binder Gary¹²^ORCID,Tura Ali¹

Affiliation:

1. Colorado School of Mines Department of Geophysics Green Center, 924 16th Street Room 283 Golden CO 80401 USA

2. Presently, Automated Seismics LLC Santa Clarita CA USA

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.13027

Reference26 articles.

1. Binder G.andChakraborty D.(2019)Detecting microseismic events in downhole distributed acoustic sensing data using convolutional neural networks. SEG Technical Program Expanded Abstracts pp.4864–4868.

2. Chollet F.(2015)Keras.https://keras.io.

3. Analysis of signal to noise and directivity characteristics of DAS VSP at near and far offsets — A CO2CRC Otway Project data example

4. Passive Seismic Monitoring of Induced Seismicity

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