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Applying cluster analysis on sot oil and gas production data

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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.

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Availability

M00289

(wh)

Available

Detail Information

Series Title

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Call Number

289

Publisher

: Swiss German University., 2014

Collation

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Language

English

ISBN/ISSN

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Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Data mining
efficiency ratio
MIT
clustering
sot production data
crisp- dm

Specific Detail Info

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Statement of Responsibility

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