Application of Distributed Acoustic Sensing to Flow Regime Classification

dc.contributor.advisor	Sangesland, Sigbjørn	nb_NO
dc.contributor.author	Silkina, Tatiana	nb_NO
dc.date.accessioned	2014-12-19T11:52:27Z
dc.date.available	2014-12-19T11:52:27Z
dc.date.created	2014-09-11	nb_NO
dc.date.issued	2014	nb_NO
dc.identifier	746158	nb_NO
dc.identifier	ntnudaim:12053	nb_NO
dc.identifier.uri	http://hdl.handle.net/11250/235663
dc.description.abstract	The objective of the thesis proposed is to investigate the potential of DAS(Distributed Acoustic Sensing) for flow regime classification. A relativelysimple and cost effective experiment has been conducted in this study.Using the results from the experiments, several artificial neural networks hasbeen created to recognize the pattern in the one third octave band data. Theresults has shown a neural network is a promising tool which serves the purposeof this study.	nb_NO
dc.language	eng	nb_NO
dc.publisher	Institutt for petroleumsteknologi og anvendt geofysikk	nb_NO
dc.title	Application of Distributed Acoustic Sensing to Flow Regime Classification	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	49	nb_NO
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for energi- og prosessteknikk	nb_NO