ENBIS-17 in Naples

9 – 14 September 2017; Naples (Italy) Abstract submission: 21 November 2016 – 10 May 2017

Analysis of High Frequency Acoustic Data

12 September 2017, 15:40 – 16:00

Abstract

Submitted by
Tim Park
Authors
Tim Park (Shell)
Abstract
Distributed Acoustic Sensing (DAS) is a recently introduced sensing technique which has opened up many new possibilities in the oil and gas industry. It involves using a fibre optic cable to measure acoustic signals at different spatial locations along the length of a pipe. The sound is collected continuously at very high temporal frequency and at multiple locations simultaneously. The fibre is easy to deploy both for surface pipes and downhole wells. This has opened up a lot of opportunities to collect data where it was not possible before. Applications include real time estimation of quantities such as flow rates, flow composition and the detection of events such as leaks and water breakthroughs. The downside, as compared to standard measurement devices such as pressure gauges and flow meters, is that it is not a direct measurement of the quantity of interest and is susceptible to noise and corruption. In this talk I will introduce some of the statistical challenges this data presents and the ways in which we use time series, alongside other areas of statistics, to extract relevant information from the acoustic signal.
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