Alternative Selection Scenarios of Oil and Gas Using Fuzzy Analytical Hierarchy Process (FAHP)
| Main Authors: | Lestari, Dea Dana, Setyohadi, Djoko Budiyanto, Suyoto, Suyoto |
|---|---|
| Format: | Proceeding PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
http://e-journal.uajy.ac.id/15501/1/alternative_selection.pdf http://e-journal.uajy.ac.id/15501/2/peer_review%20Alternative_Selection.pdf http://e-journal.uajy.ac.id/15501/3/djoko_ahp.pdf http://e-journal.uajy.ac.id/15501/ |
| ctrlnum |
15501 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://e-journal.uajy.ac.id/15501/</relation><title>Alternative Selection Scenarios of Oil and Gas Using Fuzzy Analytical Hierarchy Process (FAHP) </title><creator> Lestari, Dea Dana</creator><creator>Setyohadi, Djoko Budiyanto</creator><creator>Suyoto, Suyoto</creator><subject>Enterprise Inf System</subject><description> In the petroleum world, oil and gas resources exploitation activities will be carried out continuously until the production reach the limit of economic boundaries, where the quality of production is not good anymore. Before it happens, the experts will arrange reserve activities to anticipate any losses if the contract period of the company is still long. This research proposes the development of oil and gas field scenarios in the use of Fuzzy AHP to assist petroleum experts in designing efficient and effective scenarios. In this way, it will assist the petroleum expert in dealing with the problem of loss and proper decision making.</description><date>2018-06-29</date><type>Journal:Proceeding</type><type>PeerReview:PeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://e-journal.uajy.ac.id/15501/1/alternative_selection.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://e-journal.uajy.ac.id/15501/2/peer_review%20Alternative_Selection.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://e-journal.uajy.ac.id/15501/3/djoko_ahp.pdf</identifier><identifier> Lestari, Dea Dana and Setyohadi, Djoko Budiyanto and Suyoto, Suyoto (2018) Alternative Selection Scenarios of Oil and Gas Using Fuzzy Analytical Hierarchy Process (FAHP). In: AIP Conference Proceedings . </identifier><recordID>15501</recordID></dc>
|
| language |
eng |
| format |
Journal:Proceeding Journal PeerReview:PeerReviewed PeerReview Book:Book Book |
| author |
Lestari, Dea Dana Setyohadi, Djoko Budiyanto Suyoto, Suyoto |
| title |
Alternative Selection Scenarios of Oil and Gas Using Fuzzy Analytical Hierarchy Process (FAHP) |
| publishDate |
2018 |
| topic |
Enterprise Inf System |
| url |
http://e-journal.uajy.ac.id/15501/1/alternative_selection.pdf http://e-journal.uajy.ac.id/15501/2/peer_review%20Alternative_Selection.pdf http://e-journal.uajy.ac.id/15501/3/djoko_ahp.pdf http://e-journal.uajy.ac.id/15501/ |
| contents |
In the petroleum world, oil and gas resources exploitation activities will be carried out continuously until the production reach the limit of economic boundaries, where the quality of production is not good anymore. Before it happens, the experts will arrange reserve activities to anticipate any losses if the contract period of the company is still long. This research proposes the development of oil and gas field scenarios in the use of Fuzzy AHP to assist petroleum experts in designing efficient and effective scenarios. In this way, it will assist the petroleum expert in dealing with the problem of loss and proper decision making. |
| id |
IOS2676.15501 |
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Universitas Atma Jaya Yogyakarta |
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70 |
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library:university library |
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Perpustakaan Universitas Atma Jaya Yogyakarta |
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276 |
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Repository Universitas Atma Jaya Yogyakarta |
| repository_id |
2676 |
| subject_area |
Ekonomi Hukum Komunikasi dan Media |
| city |
SLEMAN |
| province |
DAERAH ISTIMEWA YOGYAKARTA |
| repoId |
IOS2676 |
| first_indexed |
2019-05-05T00:40:37Z |
| last_indexed |
2019-05-05T00:40:37Z |
| recordtype |
dc |
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1765769869450543104 |
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17.538404 |