Automated lithology prediction from PGNAA and other geophysical logs

Author:

Borsaru M.,Zhou B.,Aizawa T.,Karashima H.,Hashimoto T.

Publisher

Elsevier BV

Subject

Radiation

Reference13 articles.

1. Application of a neural network to the problem of mineral identification from well logs;Baldwin;Log Anal.,1990

2. Inferring the lithology of borehole rocks by applying neural network classifiers to downhole logs: an example from the Ocean Drilling Program;Benaouda;Geophys. J. Int.,1999

3. The application of prompt-gamma neutron activation analysis to borehole logging for coal;Borsaru;Appl. Radiat. Isot.,2001

4. Borsaru, M., Rojc, A., Stehle, R., 2001b. The application of the PGNAA technique to in-situ analysis of coal. Exploration and Mining Report 848C.

5. In situ determination of sulphur in coal seams and overburden rock by PGNAA;Borsaru;Nucl. Instrum. Meth. Phys. Res. B,2004

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