Quantitative prediction of fluvial sandbodies by combining seismic attributes of neighboring zones

Li, W, Yue, D, Colombera, L orcid.org/0000-0001-9116-1800 et al. (4 more authors) (2021) Quantitative prediction of fluvial sandbodies by combining seismic attributes of neighboring zones. Journal of Petroleum Science and Engineering, 196. 107749. ISSN 0920-4105

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
Keywords: Fluvial sandbodies; Seismic attribute; Stratal slices; Seismic interference; Support vector regression; Chengdao oilfield
Dates:
  • Published: January 2021
  • Accepted: 4 August 2020
  • Published (online): 17 August 2020
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: 10 Aug 2020 13:30
Last Modified: 22 Sep 2020 12:59
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.petrol.2020.107749

Share / Export

Statistics