The application of multilayer perceptron neural network in volume of clay estimation: Case study of Shurijeh gas reservoir, Northeastern Iran

Jozanikohan, G, Norouzi, GH, Sahabi, F et al. (2 more authors) (2015) The application of multilayer perceptron neural network in volume of clay estimation: Case study of Shurijeh gas reservoir, Northeastern Iran. Journal of Natural Gas Science and Engineering, 22 (1). 119 - 131 (13). ISSN 1875-5100

Abstract

Metadata

Authors/Creators:
  • Jozanikohan, G
  • Norouzi, GH
  • Sahabi, F
  • Memarian, H
  • Moshiri, B
Copyright, Publisher and Additional Information: (c) 2014, Elsevier. This is an author produced version of a paper published in Journal of Natural Gas Science and Engineering. Uploaded in accordance with the publisher's self-archiving policy
Keywords: Volume of clay; Artificial neural network; Core analysis; Shaly sand reservoir; Kopet-Dagh sedimentary Basin
Dates:
  • Published: 1 January 2015
  • Accepted: 18 November 2014
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 May 2015 11:06
Last Modified: 16 Nov 2016 07:36
Published Version: http://dx.doi.org/10.1016/j.jngse.2014.11.022
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jngse.2014.11.022

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