{"title":"Distributed Thermo-Anemometer Data Processing for Wellbore Fluid Phase Determination","authors":"Ekaterina V. Kolodezeva, I. Sofronov","doi":"10.1109/dspa53304.2022.9790749","DOIUrl":null,"url":null,"abstract":"Data considered were temperature measured by the PLT -9.2 module and thermo-anemometry data measured by the PLT-0.6.3 module. The data were obtained from well production logging in a low-rate horizontal well. On the basis of an analysis of a 12-s thermo-anemometry measurement cycle, we propose a fast and automated fluid phase determination algorithm. The algorithm uses only 2 s of the cycle to reduce the risk of phase changes during measurements. Tests on field data consisting of approximately 1,500 cycles demonstrate stable fluid phase determination of water, oil, and gas. A comparison with expert interpretation of the same field data showed good agreement, with discrepancies between two interpretations primarily occurring during phase changes.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dspa53304.2022.9790749","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
Data considered were temperature measured by the PLT -9.2 module and thermo-anemometry data measured by the PLT-0.6.3 module. The data were obtained from well production logging in a low-rate horizontal well. On the basis of an analysis of a 12-s thermo-anemometry measurement cycle, we propose a fast and automated fluid phase determination algorithm. The algorithm uses only 2 s of the cycle to reduce the risk of phase changes during measurements. Tests on field data consisting of approximately 1,500 cycles demonstrate stable fluid phase determination of water, oil, and gas. A comparison with expert interpretation of the same field data showed good agreement, with discrepancies between two interpretations primarily occurring during phase changes.