Vahabi, N;
(2016)
Analysis of Oil and Gas Distributed Acoustic Sensor Data.
Presented at: UNSPECIFIED.
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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.
| Type: | Poster |
|---|---|
| Title: | Analysis of Oil and Gas Distributed Acoustic Sensor Data |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1496876 |
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