{"title":"基于现场实测数据的ESP作业资源动态因子模型及其识别方案","authors":"D. Govorkov, I. G. Solovyev, Ivan V. Konstantinov","doi":"10.1109/CTS53513.2021.9562817","DOIUrl":null,"url":null,"abstract":"The considered model of the electric submersible pump (ESP) operational resource consumption dynamics has a multifunctional purpose in monitoring of comfortable operating conditions and optimizing of modes, schedule and parameters of well arrangement. Forecasting the dynamics of resource consumption for the well fund serves as the basis for planning the volume of reserves and managing the production processes of repair and maintenance. Factor analysis, in contrast to mathematical modeling, summarizes the operating experience of such systems, determining factor indicators of accelerated mechanical wear and aging of insulation. The proposed work discusses the approach and algorithms for identifying the sensitivity coefficients of the resource model with cumulatively accumulated factors according to the monitoring data of the operation states of submersible equipment for a group of wells during their complete life cycle.","PeriodicalId":371882,"journal":{"name":"2021 IV International Conference on Control in Technical Systems (CTS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factor Model of the ESP Operational Resource Dynamics and it's Identification Scheme with the Use of the Field-measured Data\",\"authors\":\"D. Govorkov, I. G. Solovyev, Ivan V. Konstantinov\",\"doi\":\"10.1109/CTS53513.2021.9562817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The considered model of the electric submersible pump (ESP) operational resource consumption dynamics has a multifunctional purpose in monitoring of comfortable operating conditions and optimizing of modes, schedule and parameters of well arrangement. Forecasting the dynamics of resource consumption for the well fund serves as the basis for planning the volume of reserves and managing the production processes of repair and maintenance. Factor analysis, in contrast to mathematical modeling, summarizes the operating experience of such systems, determining factor indicators of accelerated mechanical wear and aging of insulation. The proposed work discusses the approach and algorithms for identifying the sensitivity coefficients of the resource model with cumulatively accumulated factors according to the monitoring data of the operation states of submersible equipment for a group of wells during their complete life cycle.\",\"PeriodicalId\":371882,\"journal\":{\"name\":\"2021 IV International Conference on Control in Technical Systems (CTS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IV International Conference on Control in Technical Systems (CTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CTS53513.2021.9562817\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IV International Conference on Control in Technical Systems (CTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTS53513.2021.9562817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Factor Model of the ESP Operational Resource Dynamics and it's Identification Scheme with the Use of the Field-measured Data
The considered model of the electric submersible pump (ESP) operational resource consumption dynamics has a multifunctional purpose in monitoring of comfortable operating conditions and optimizing of modes, schedule and parameters of well arrangement. Forecasting the dynamics of resource consumption for the well fund serves as the basis for planning the volume of reserves and managing the production processes of repair and maintenance. Factor analysis, in contrast to mathematical modeling, summarizes the operating experience of such systems, determining factor indicators of accelerated mechanical wear and aging of insulation. The proposed work discusses the approach and algorithms for identifying the sensitivity coefficients of the resource model with cumulatively accumulated factors according to the monitoring data of the operation states of submersible equipment for a group of wells during their complete life cycle.