| Autor: |
N. Bukhanov, M. M. Ozhgibesov, A. Volkova, N. Klimenko, Y. Paveleva, E. Grishnyaev, A. Orlov |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
EAGE/AAPG Digital Subsurface for Asia Pacific Conference. |
| DOI: |
10.3997/2214-4609.202075010 |
| Popis: |
Summary We propose a method for well placement inspired by recent achievements in machine learning and data science which is able to offer options for well positions based on variational forecast with existing data perturbations. To benchmark our approach and compare it with expert choices in simplified and time constrained manner we summarize and evaluate in this paper the results of recent exploration game challenge and critically review the pros and cons of different well placement strategies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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