{"title":"Extraction of Gas Rise Features from a Noisy DAS Data in an Experimental Wellbore","authors":"L. Jagadeeshwar Tabjula, Jyotsna Sharma","doi":"10.1364/ofs.2022.th4.62","DOIUrl":null,"url":null,"abstract":"DAS is a promising wellbore monitoring technology. However, the desired signals are often overwhelmed by noise. We present a suite of computationally inexpensive techniques for real-time extraction of gas-signatures from noisy DAS acquired in a 5163-ft-deep wellbore.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th International Conference on Optical Fiber Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/ofs.2022.th4.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
DAS is a promising wellbore monitoring technology. However, the desired signals are often overwhelmed by noise. We present a suite of computationally inexpensive techniques for real-time extraction of gas-signatures from noisy DAS acquired in a 5163-ft-deep wellbore.