Construction of Analogy Indicator System and Machine-Learning-Based Optimization of Analogy Methods for Oilfield Development Projects

Construction of Analogy Indicator System and Machine-Learning-Based Optimization of Analogy Methods for Oilfield Development Projects

Oil and gas development is characterized by high technical complexity, strong interdisciplinarity, long investment cycles, and significant uncertainty. To meet the need for quick evaluation of overseas oilfield projects with limited data and experience, this study develops an analogy indicator syste...

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Bibliographic Details
Main Authors: Muzhen Zhang, Zhanxiang Lei, Chengyun Yan, Baoquan Zeng, Fei Huang, Tailai Qu, Bin Wang, Li Fu
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Energies
Subjects:
new oil and gas project evaluation
oilfield analogy indicators
machine learning
analogy method
asset optimization
Online Access:https://www.mdpi.com/1996-1073/18/15/4076
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