A geostatistical approach to analyzing gold distribution controlled by large-scale fault systems – An example from Côte d’Ivoire

Murray, S, Torvela, T orcid.org/0000-0003-1539-8755 and Bills, H (2019) A geostatistical approach to analyzing gold distribution controlled by large-scale fault systems – An example from Côte d’Ivoire. Journal of African Earth Sciences, 151. pp. 351-370. ISSN 1464-343X

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Copyright, Publisher and Additional Information: © 2019 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Journal of African Earth Sciences. Uploaded in accordance with the publisher's self-archiving policy
Keywords: gold; geostatistics; GIS; structural geology; Riedel fault model; Fault reactivation; Côte d’Ivoire
Dates:
  • Published: March 2019
  • Accepted: 21 December 2018
  • Published (online): 24 December 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Jan 2019 10:39
Last Modified: 24 Dec 2019 01:39
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jafrearsci.2018.12.019

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