Neuronetwork Decision Support System for Oilfield Equipment Condition Online Monitoring

Abstract:

In this paper we offer the solution of the problem of oil-extracting production efficiency and safety raise by decision support system (DSS) application developed on the artificial neuronetwork technology basis. The description of new database knowledge discovery neuronetwork methods, applied for diagnostics and forecasting is provided. The architecture and the functions of DSS applied for oilfield objects state online monitoring, developed on proposed methods and algorithms basis, is described.

• Periodical: Advanced Materials Research (Volume 902)
• Pages: 409-415
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.902.409
• Online since: February 2014
• Authors: Iakov S. Korovin, Maxim V. Khisamutdinov
• Keywords: Data Mining (DM), Decision Support System (DSS), Diagnosis, Forecasting, Neural Network (NN), Oilfield Equipment

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