Permeability prediction for carbonate reservoir using a data-driven model comprising deep learning network, particle swarm optimization, and support vector regression: a case study of the LULA oilfield
Crossref DOI link: https://doi.org/10.1007/s12517-019-4804-3
Published Online: 2019-10-13
Published Print: 2019-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gu, Yufeng
Bao, Zhidong
Song, Xinmin
Wei, Mingyang
Zang, Dongsheng
Niu, Bo
Lu, Kai
Text and Data Mining valid from 2019-10-01
Version of Record valid from 2019-10-01
Article History
Received: 14 March 2018
Accepted: 4 September 2019
First Online: 13 October 2019