Manufacturing execution systems intellectualization: oil and gas implementation sample

Authors:
Stepan Bogdan;Anton Kudinov;Nikolay Markov
Affiliations:
Tomsk Polytechnic University, Tomsk, Russia;Tomsk Polytechnic University, Tomsk, Russia;Tomsk Polytechnic University, Tomsk, Russia
Venue:
MEDI'11 Proceedings of the First international conference on Model and data engineering
Year:
2011

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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.