Data Mining Methods Application to the Problem of Handling Corporative Dataset on Heavy Oil Production

DOI

10.2991/icca-16.2016.92How to use a DOI?

Keywords

Data Mining, Heavy oil production, Neural networks, Decision trees, Genetic algorithms, Fuzzy logic

Abstract

In this paper, we perform the analysis of Data Mining methods; the application of those is decided to be the most effective in the task of handling information on the production processes, typical to the fields of heavy oil in Western Siberia. The common feature of heavy oil production in Russia is low efficiency of classical math models applied in the industrial software, aimed to reduce the oil production cost. Thus, it demands the industrial usage of novel approaches, where among the most probable ones are the artificial intelligence technologies. The summary of their classification with the advantages’ analysis is presented.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Korovin Iakov S.
AU  - Khisamutdinov Maxim V.
AU  - Kalyaev Anatoly I.
PY  - 2016/01
DA  - 2016/01
TI  - Data Mining Methods Application to the Problem of Handling Corporative Dataset on Heavy Oil Production
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 387
EP  - 389
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.92
DO  - 10.2991/icca-16.2016.92
ID  - IakovS.2016/01
ER  -