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dc.contributor.authorButcher, Antony
dc.contributor.authorHudson, Tom
dc.contributor.authorZhou, Wen
dc.contributor.authorLapin, Sacha
dc.contributor.authorKendall, J-Michael
dc.contributor.authorBaird, Alan
dc.date.accessioned2023-05-26T13:12:55Z
dc.date.available2023-05-26T13:12:55Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11250/3069184
dc.description.abstractThis 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.en_US
dc.language.isoengen_US
dc.publisherNORCE - Norwegian Research Centreen_US
dc.relation.ispartofseriesACT DigiMon (NORCE);D1.5
dc.titleDAS Processing Algorithmsen_US
dc.typeResearch reporten_US


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