{"title":"用于井筒流体相测定的分布式热风速计数据处理","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":"{\"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}","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}
Distributed Thermo-Anemometer Data Processing for Wellbore Fluid Phase Determination
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.