A competitive ensemble model for permeability prediction in heterogeneous oil and gas reservoirs

A competitive ensemble model for permeability prediction in heterogeneous oil and gas reservoirs

One important property of oil and gas reservoirs is permeability, which has proven to be difficult to predict. Empirical and regression models are the current industrial practice for predicting permeability due to high cost and time consumption associated with laboratory measurement. In recent times...

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Bibliographic Details
Main Authors: Ahmed A. Adeniran, Abdulrauf R. Adebayo, Hamza O. Salami, Mohammed O. Yahaya, Abdulazeez Abdulraheem
Format: Article
Language:English
Published: Elsevier 2019-10-01
Series:Applied Computing and Geosciences
Subjects:
Machine learning
K-nearest neighbor
Nearest cluster center
Ensemble model
Reservoir characterization
Permeability
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197419300047

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http://www.sciencedirect.com/science/article/pii/S2590197419300047

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