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

标题
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
作者
关键词
-
出版物
Arabian Journal of Geosciences
Volume 12, Issue 19, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-10-13
DOI
10.1007/s12517-019-4804-3

向作者/读者发起求助以获取更多资源

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now