Use of multiattribute transforms to predict log properties from seismic data

By D. Hampson, J. Schuelke, J. Quirein. 2001

603 citations recorded by the source corpus.

Subfields: Geophysics, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/0d655f2ae71dde5c69f8c8a6812e086b2ea811ff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. S. Sevgen
2. Sagar Singh
3. A. I. Kanli

Citations in the corpus

• A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field (2015, background): “This fact has been well documented in the literature, see Gastaldi et al. (1997), Russell et al. (1997), Hampson et al. (2001).”