{"title":"Development of The Offline Search System for Company Internal Regulatory Documentation for Supervision of Drilling Processes","authors":"É. G. Mironov, M.S. Shikhragimov, G. Sozonenko","doi":"10.3997/2214-4609.202156019","DOIUrl":null,"url":null,"abstract":"Summary Currently, the information search in regulatory documentation for well construction and repairs is carried out primarily manually. This imposes restrictions on the convenience and speed of the supervisor’s work, who is controlling these activities. In this article, the development of the offline search system for the oil company internal regulatory documentation is considered and tested on real queries from «Gazprom Neft» production sites. The proposed search system is installed on the supervisor’s automated workplace (tablet) and demonstrates the best results, when using algorithm based on ElasticSearch. This enables successfully process 72,4% of queries with an average processing time of less than 0,9 second.","PeriodicalId":266953,"journal":{"name":"Data Science in Oil and Gas 2021","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Science in Oil and Gas 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.202156019","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
Summary Currently, the information search in regulatory documentation for well construction and repairs is carried out primarily manually. This imposes restrictions on the convenience and speed of the supervisor’s work, who is controlling these activities. In this article, the development of the offline search system for the oil company internal regulatory documentation is considered and tested on real queries from «Gazprom Neft» production sites. The proposed search system is installed on the supervisor’s automated workplace (tablet) and demonstrates the best results, when using algorithm based on ElasticSearch. This enables successfully process 72,4% of queries with an average processing time of less than 0,9 second.