A. A. Zhirkina, Y. Pico, L. Dovgilovich, A. Kuvichko
{"title":"Minimum Viable Product Continuous Creation Strategy of Cloud Solution Using The Example of a New Hybrid Three-Phase Flow Metering Method","authors":"A. A. Zhirkina, Y. Pico, L. Dovgilovich, A. Kuvichko","doi":"10.3997/2214-4609.202156030","DOIUrl":null,"url":null,"abstract":"Summary Every high-tech digital product at some phase faces a problem of transfer from an internal-use prototype to a functional digital product, that can be implemented and used by the wide audience. This problem becomes even more difficult when it comes to cloud solutions. One of the possible ways to avoid this painful transition is to use the continuous MVP creation and support strategy, with minimum of resources applied. Real life example of new downhole three-phase flowmetering algorithm implemented at one of the North Caspian oilfields, has shown us that by starting developer-client interactions at the very first stages of the algorithm development we achieve several benefits, such as securing the customer interest in the technology being developed, getting extensive feedback on both algorithmic and user-experience parts of the setup, adapting the user interface and demonstrating new cloud approach to the delivery of digital solutions. Moreover, extensive field-test allows the developer to validate the algorithm performance and make necessary corrections in the core technology itself. Web-framework, that has been used for a front-end development also made it possible to create user-friendly interfaces without engaging with a dedicated front-end engineer and create business logic by hands of the technology developer themselves.","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/10.3997/2214-4609.202156030","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 Every high-tech digital product at some phase faces a problem of transfer from an internal-use prototype to a functional digital product, that can be implemented and used by the wide audience. This problem becomes even more difficult when it comes to cloud solutions. One of the possible ways to avoid this painful transition is to use the continuous MVP creation and support strategy, with minimum of resources applied. Real life example of new downhole three-phase flowmetering algorithm implemented at one of the North Caspian oilfields, has shown us that by starting developer-client interactions at the very first stages of the algorithm development we achieve several benefits, such as securing the customer interest in the technology being developed, getting extensive feedback on both algorithmic and user-experience parts of the setup, adapting the user interface and demonstrating new cloud approach to the delivery of digital solutions. Moreover, extensive field-test allows the developer to validate the algorithm performance and make necessary corrections in the core technology itself. Web-framework, that has been used for a front-end development also made it possible to create user-friendly interfaces without engaging with a dedicated front-end engineer and create business logic by hands of the technology developer themselves.