Application Machine Learning (Decision Tree) in Determining Reactivation Candidates Idle Well at PT. Pertamina Ep Regional 4 Zone 11 Cepu Field

This material has been presented on 3rd International Conference on Advanced Research in Engineering and Technology 2024 October 23 - 24, 2024.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-23
DOI
https://doi.org/10.5281/zenodo.13980729
Primary Topic
Oil and Gas Production Techniques
Type
article
Field-Weighted Citation Impact
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article

Application Machine Learning (Decision Tree) in Determining Reactivation Candidates Idle Well at PT. Pertamina Ep Regional 4 Zone 11 Cepu Field

Zenodo (CERN European Organization for Nuclear Research)
Oil and Gas Production Techniques
article

Application Machine Learning (Decision Tree) in Determining Reactivation Candidates Idle Well at PT. Pertamina Ep Regional 4 Zone 11 Cepu Field

article en

Abstract

This material has been presented on 3rd International Conference on Advanced Research in Engineering and Technology 2024 October 23 - 24, 2024.

Zenodo (CERN European Organization for Nuclear Research)
Universitas Pembangunan Nasional Veteran Yogyakarta (ID)
Partnerships for the goals
Openalex Percentile: Top 55%
Oil and Gas Production Techniques
DOIOpen Access PDFOpenAlex
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