Manufacturing execution systems intellectualization: Oil and gas implementation sample

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages170-177
Number of pages8
Volume6918 LNCS
DOIs
Publication statusPublished - 2011
Event1st International Conference on Model and Data Engineering, MEDI 2011 - Obidos, Portugal
Duration: 28 Sep 201130 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6918 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Conference on Model and Data Engineering, MEDI 2011
CountryPortugal
CityObidos
Period28.9.1130.9.11

Keywords

  • data mining in industry
  • Intellectual Manufacturing Systems
  • Manufacturing Execution System
  • Manufacturing Process Control

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

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