20+ Million Readerbase
Indexed In
  • Open J Gate
  • Genamics JournalSeek
  • JournalTOCs
  • China National Knowledge Infrastructure (CNKI)
  • Electronic Journals Library
  • RefSeek
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • SWB online catalog
  • Virtual Library of Biology (vifabio)
  • Publons
  • MIAR
  • Euro Pub
  • Google Scholar
Share This Page
Recommended Webinars & Conferences

3rd World Congress on Petroleum Processing and Research

Lisbon, Portugal

3rd World Congress on Petroleum Processing and Research

Lisbon, Portugal

14th International Conference on Oil and Gas

London, UK

4th International Conference on Oil, Gas and Petro Chemical Sciences

Amsterdam, Netherlands
Journal Flyer
Flyer image
MAICE: A tool for model and make available expert knowledge
3rd International Conference and Expo on Oil and Gas
July 13-14, 2017 Berlin, Germany

Leizer Schnitman, Jose Francisco dos Santos Correa and Fabricio Mota

Federal University of Bahia, Brazil

Posters & Accepted Abstracts: J Pet Environ Biotechnol

Abstract:

In many areas, expert knowledge is usually associated to a little number of specialists. Big companies, such as the petroleum companies, naturally employ a lot of specialists. However, the knowledge of these specialists is not fully available to support the whole company at the same time. The software MAICE is a tool which can be used to model and keep expert knowledge. Being storage, the expert knowledge can be used in order to provide expertise and support operational decisions, without requiring the specialist presence since it represents the specialist opinion. The tool may be applied in various areas like medicine, logistics and many engineering applications. It was originally developed as partnership with Petrobras (2007-2011) and its first applications refer to artificial lift methods. The objective of this work is to present some examples of MAICE applications and also presenting this software as a tool to be applied in a general context of oil and gas.

Biography :

Email: leizer@ufba.br