An Efficient Neural-Network-Based Microseismic Monitoring Platform for Hydraulic Fracture on an Edge Computing Architecture

An Efficient Neural-Network-Based Microseismic Monitoring Platform for Hydraulic Fracture on an Edge Computing Architecture

Microseismic monitoring is one of the most critical technologies for hydraulic fracturing in oil and gas production. To detect events in an accurate and efficient way, there are two major challenges. One challenge is how to achieve high accuracy due to a poor signal-to-noise ratio (SNR). The other o...

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Bibliographic Details
Main Authors: Xiaopu Zhang, Jun Lin, Zubin Chen, Feng Sun, Xi Zhu, Gengfa Fang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
microseismic monitoring
event detection
edge computing
neural networks
probabilistic inference
Online Access:http://www.mdpi.com/1424-8220/18/6/1828

Internet

http://www.mdpi.com/1424-8220/18/6/1828

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