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DAS Processing Algorithms

Authors: Butcher, Antony; Hudson, Tom; Zhou, Wen; Lapin, Sacha; Kendall, J-Michael; Baird, Alan;

DAS Processing Algorithms

Abstract

This report addresses deliverable D1.5 of the DigiMon project, which covers processing algorithms for Distributed Acoustic Systems (DAS) datasets that are contained within a python library called DASpy. The objective of DigiMon is to develop an early-warning system for Carbon Capture and Storage (CCS) which utilises a broad range of sensor technologies including DAS. While the system is primarily focused on the CCS projects located in shallow offshore environment of the North Sea, it is also intended to be adaptable to onshore settings. Some of the key areas that the systems will monitor include the movement of the plume within the reservoir, well integrity and CO2 leakage into the overburden. A combination of both active and passive seismic methods will be deployed to track the movement of CO2, for example seismic reflection to image seismic velocity changes or microseismics to capture small earthquakes relating to fault activation.

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Norway
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green