Devarakonda, Uma Bala and Soetomo, Moh. A. Amin and Widiputra, Harya Damar (2014) Applying Cluster analysis on SOT Oil and Gas Production Data. Masters thesis, Swiss German University.

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Abstract

SKK Migas has implemented SOT (Sistem Operasi Terpadu) to allow SKK Migas system to retrieve specific information from PSC Contractor data source within an integrated online system. It is expected that by the completion of SOT program, there can be huge transactional data that is exchanged on daily basis, and without Data Mining it will be extremely difficult to perform any data analysis. The main purpose of this research is to find out if we can apply clustering technique on SOT production data collected over a period of time. The entire process of the data mining analysis has been carried out using the CRISP-DM methodology. This research found out that it is possible to find certain interesting clusters applying clustering algorithm on the production data. These clusters can be interpreted as clusters of PSC contractors/oil fields/wells clustered based on their various efficiency ratios.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Clustering, Data mining, SOT Production Data, Efficiency Ratio, CRISP-DM
Subjects:	Q Science > QA Mathematics > QA76 Computer software > > QA76.91 Data mining T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Faisal Ifzaldi
Date Deposited:	18 Aug 2021 15:08
Last Modified:	18 Aug 2021 15:08
URI:	http://repository.sgu.ac.id/id/eprint/2136

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