Research on E&P Efficiency Metrics to support SKMIGAS Mission utilizing CRISP-DM Methodology
Authors
Bobby Suryajaya, Frieda Putri Aryani, Uma Bala Devarakonda, Alva Erwin
Corresponding Author
Bobby Suryajaya
Available Online January 2014.
- Keywords
- SKK Migas, Indicator, Efficiency, CRISP-DM, Clustering, Classification, Association Rule
- Abstract
SKK Migas has mission to supervise and control activities of upstream Oil & Gas. It is believed that by knowing efficiency level of each PSC Contractor, improvement programs can be more effective and directly hit the objective. This paper discusses research proposal on efficiency metrics using data mining techniques and its implementation feasibility as National Indicator.
- Copyright
- © 2014, 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/).
Cite this article
TY - CONF AU - Bobby Suryajaya AU - Frieda Putri Aryani AU - Uma Bala Devarakonda AU - Alva Erwin PY - 2014/01 DA - 2014/01 TI - Research on E&P Efficiency Metrics to support SKMIGAS Mission utilizing CRISP-DM Methodology BT - Proceedings of the 2013 International Conference on Advances in Intelligent Systems in Bioinformatics PB - Atlantis Press SP - 13 EP - 18 SN - 1951-6851 UR - https://www.atlantis-press.com/article/11351 ID - Suryajaya2014/01 ER -