BaldwinJ. L., BatemanR. M. and WheatleyC. L.Application of a neural network to the problem of mineral identification from well logs.Log Analyst, 3, Sept-Oct, 1990, 279–93.
2.
BealeR. and JacksonT. Neural computing: an introduction (Bristol: Hilger, 1990), 256 p.
3.
DaiH. and MacBethC. Application of back-propagation neural networks to identification of seismic arrival types.Phys. Earth Planet. Interiors, 101 (3–4), 199, 177–88.
4.
GoncalvesC. A. Characterization of formation heterogeneity. Ph.D. thesis, Univeristy of Leicester, 1995.
5.
HallJ. and ScandellaL.Estimation of critical formation evalua-tion parameters using techniques of neuro-computing. Paper presented at Society of Professional Well Log Analysts 26th annual logging symposium, 1995.
6.
Nirex1997. The geological structure of the Sellafield site.Nirex Science Report no S/97/007.
7.
Rogers S. J. et al. Determination of lithology from well logs using a neural network.Bull. Am. Ass. Petrol. Geol., 76, no 5, 1992, 731–9.