eprintid: 1496876
rev_number: 26
eprint_status: archive
userid: 608
dir: disk0/01/49/68/76
datestamp: 2018-02-05 16:02:49
lastmod: 2020-02-12 16:39:39
status_changed: 2018-02-05 16:02:49
type: poster
metadata_visibility: show
creators_name: Vahabi, N
title: Analysis of Oil and Gas Distributed Acoustic Sensor Data
divisions: UCL
divisions: A01
divisions: B04
divisions: C05
divisions: F46
abstract: Monitoring the behaviour and nature of downhole fluid flow has a great economic value for the oil and gas industry. By analysing the oil production of each well, the oil production can be maximised and optimised whilst reducing the cost. Recent developments enable optical fibres to be used to record distributed sounds as if from an array of microphones along the full length of a several kilometer long well. We have developed novel signal processing and pattern recognition algorithms to analyse the recorded sounds which enable us to most of accurately estimate the flow speed of the fluid. We have demonstrated this accuracy with water, oil and gas fluid flow.
date: 2016-05-18
date_type: published
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1133358
lyricists_name: Vahabi, Nafiseh
lyricists_id: NVAHA64
actors_name: Vahabi, Nafiseh
actors_id: NVAHA64
actors_role: owner
full_text_status: public
citation:        Vahabi, N;      (2016)    Analysis of Oil and Gas Distributed Acoustic Sensor Data.                   Presented at: UNSPECIFIED.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1496876/1/Industrial_Poster_May2016_newVesion%28Nafiseh_Vahabi%29.pdf