A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field
Crossref DOI link: https://doi.org/10.1007/s11200-015-0820-2
Published Online: 2015-11-14
Published Print: 2016-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Singh, Sagar
Kanli, Ali Ismet
Sevgen, Selcuk
Text and Data Mining valid from 2015-11-14