Manufacturing execution systems intellectualization: Oil and gas implementation sample

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

4 Цитирования (Scopus)

Аннотация

Up-to-date trend in industrial automation is implementation of Manufacturing Execution Systems (MES) everywhere and in oil and gas industry. Conception of MES is constantly in progress. Many researches suppose that analytical features, available for low-end users (engineers, dispatchers, geologists, etc.) are necessary in manufacturing management, but today there is no ready-to-use framework applicable to make intelligent manufacturing systems for oil and gas industry. A model-driven approach of MES intellectualization and an original iMES framework proposed. iMES based on functions of the traditional MES (within MESA-11 model), business intelligence (BI)-methods (On-Line Analytical Processing & Data Mining) and production markup language (industrial data standard for oil and gas production). Case study of well tests results validation using iMES framework is considered.

Язык оригиналаАнглийский
Название основной публикацииLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Страницы170-177
Число страниц8
Том6918 LNCS
DOI
СостояниеОпубликовано - 2011
Событие1st International Conference on Model and Data Engineering, MEDI 2011 - Obidos, Португалия
Продолжительность: 28 сен 201130 сен 2011

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том6918 LNCS
ISSN (печатное издание)03029743
ISSN (электронное издание)16113349

Другое

Другое1st International Conference on Model and Data Engineering, MEDI 2011
СтранаПортугалия
ГородObidos
Период28.9.1130.9.11

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Цитировать

    Bogdan, S., Kudinov, A., & Markov, N. (2011). Manufacturing execution systems intellectualization: Oil and gas implementation sample. В Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Том 6918 LNCS, стр. 170-177). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 6918 LNCS). https://doi.org/10.1007/978-3-642-24443-8_19