A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field

By Sagar Singh, A. I. Kanli, S. Sevgen. Studia Geophysica et Geodaetica, 2015

60 citations recorded by the source corpus.

Subfields: Geophysics, Mechanics of Materials, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/9789a85303c32b0d3a080c9de3243a9d0615ca85