{"title":"Resource-energy Efficiency of ESP-equipped Wells Operation Management (Approaches, Models, Methods)","authors":"I. G. Solovyev, D. Govorkov, Ivan V. Konstantinov","doi":"10.1109/CTS53513.2021.9562970","DOIUrl":null,"url":null,"abstract":"Expansion of the control and regulation potential of technologies for electric submersible pump (ESP) -equipped wells and large-scale development of digital intelligent solutions significantly expand the setting range of optimal modes, regulations and parameters of well completion. The introduction of resource and energy efficiency indicators with an explicit evaluation of the failure period makes it possible to build a temporal hierarchy of optimal solutions, considering the balances in performance, energy consumption and durability under conditions of multidimensional complicative factors of the operation. For the synthesis of optimal solutions, the factor completeness of simplified model descriptions of controlled processes in primary design schemes is of greater importance than the details provided by models of universal integrated platforms that are difficult to fit into operational control systems. The proposed scheme of numerical-analytical design is compared with new approaches to the optimal choice based on neural network models trained according to the statistics of “best practices” for the completing and operation of ESPs.","PeriodicalId":371882,"journal":{"name":"2021 IV International Conference on Control in Technical Systems (CTS)","volume":"358 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/CTS53513.2021.9562970","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
Expansion of the control and regulation potential of technologies for electric submersible pump (ESP) -equipped wells and large-scale development of digital intelligent solutions significantly expand the setting range of optimal modes, regulations and parameters of well completion. The introduction of resource and energy efficiency indicators with an explicit evaluation of the failure period makes it possible to build a temporal hierarchy of optimal solutions, considering the balances in performance, energy consumption and durability under conditions of multidimensional complicative factors of the operation. For the synthesis of optimal solutions, the factor completeness of simplified model descriptions of controlled processes in primary design schemes is of greater importance than the details provided by models of universal integrated platforms that are difficult to fit into operational control systems. The proposed scheme of numerical-analytical design is compared with new approaches to the optimal choice based on neural network models trained according to the statistics of “best practices” for the completing and operation of ESPs.