Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Abstract Permeability is an important parameter in the petrophysical study of a reservoir and serves as a key tool in the development of an oilfield. This is while its prediction, especially in carbonate reservoirs with their relatively lower levels of permeability compared to sandstone reservoirs,...

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Bibliographic Details
Main Authors: Amirhossein Sheykhinasab, Amir Ali Mohseni, Arash Barahooie Bahari, Ehsan Naruei, Shadfar Davoodi, Aliakbar Aghaz, Mohammad Mehrad
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Prediction of permeability
Heterogeneous carbonate reservoir
Hybrid prediction model
Metaheuristic optimization algorithm
Deep learning
Online Access:https://doi.org/10.1007/s13202-022-01593-z

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