{"title":"Dynamical Analysis of Phase Inversion in Oil-Water Mixtures","authors":"Jana Al-Jindan, Yusuf Ahmed, M. Noui-Mehidi","doi":"10.2118/197882-ms","DOIUrl":null,"url":null,"abstract":"\n In the present paper, a dynamical signal analysis of oil-water dispersion is presented. The focus is on phase inversion physics and the associated dynamical features of collected signals from an acoustic receptor placed within a flow setup where phase inversion where triggered when needed. The acoustic fields associated with the mixing system showed clear differences between oil continuous and water continuous media, phase inversion could be clearly identified from the acquired sensor signals. The dynamical analysis of the experimental data showed characteristic frequency transitions as well as specific attractors. The analysis tools could be used in field application to monitor oil-water flows for flow assurance purposes.","PeriodicalId":11328,"journal":{"name":"Day 4 Thu, November 14, 2019","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 4 Thu, November 14, 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/197882-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the present paper, a dynamical signal analysis of oil-water dispersion is presented. The focus is on phase inversion physics and the associated dynamical features of collected signals from an acoustic receptor placed within a flow setup where phase inversion where triggered when needed. The acoustic fields associated with the mixing system showed clear differences between oil continuous and water continuous media, phase inversion could be clearly identified from the acquired sensor signals. The dynamical analysis of the experimental data showed characteristic frequency transitions as well as specific attractors. The analysis tools could be used in field application to monitor oil-water flows for flow assurance purposes.