工作流程
计算机科学
光纤
实时计算
管道运输
信号(编程语言)
多相流
滤波器(信号处理)
光纤传感器
信号处理
声学
计算机硬件
电信
工程类
计算机视觉
数据库
机械工程
物理
量子力学
数字信号处理
程序设计语言
作者
Gerald Kelechi Ekechukwu,Jyotsna Sharma,Michael J. William
标识
DOI:10.1038/s41598-023-42211-0
摘要
Abstract Distributed fiber-optic sensing continues to gain widespread adoption in the energy industry because of the numerous benefits it offers for real-time surface and subsurface monitoring of pipelines, wellbores, reservoirs, and storage infrastructure. In this study, we introduce a novel workflow to analyze optical fiber-based distributed acoustic sensor (DAS) data, which takes into account the speed of sound for a certain phase to filter the acoustic energy or signal contributed by that phase. This information is then utilized for the characterization of multiphase flow. The application of the proposed velocity band energy (VBE) workflow is demonstrated using a dataset acquired in a 5163-ft-deep wellbore, for estimating gas void fraction and real-time gas–liquid interface tracking across the length of the well. The workflow utilizes a series of signal processing and conditioning steps that aim to reduce noise and enhance the signals of interest. The insights from the new methodology will further assist in validating DAS-based flow monitoring algorithms, leak detection and quantification, and reservoir characterization.
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