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
Titel:
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
Auteur:
Gu, Yufeng Bao, Zhidong Song, Xinmin Wei, Mingyang Zang, Dongsheng Niu, Bo Lu, Kai