Application of multilayer perceptron neural network and seismic multiattribute transforms in reservoir characterization of Pennay field, Niger Delta

Application of multilayer perceptron neural network and seismic multiattribute transforms in reservoir characterization of Pennay field, Niger Delta

Abstract Supervised multilayer perceptron neural network and seismic multiattribute transforms were applied to three-dimensional (3D) seismic and a suite of borehole log data set obtained from Pennay field, offshore Niger Delta with a view to predicting lateral continuity of hydrocarbon reservoir pr...

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Bibliographic Details
Main Authors: Akindeji Opeyemi Fajana, Michael Ayuk Ayuk, Pius Adekunle Enikanselu
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Lateral prediction
Seismic attributes
3D seismic
Petrophysics
Neural network
Online Access:http://link.springer.com/article/10.1007/s13202-018-0485-9

Internet

http://link.springer.com/article/10.1007/s13202-018-0485-9

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