Geoinformatika 2010; 1 : 33-38

INCREASE OF WELL-LOGGING RESOLUTION ABILITY BY APPLICATION OF THE ARTIFICIAL NEURON NETWORKS

Karpenko O.M., Bashkirov G.L., Makovets O.V.

It is considered the restriction of use of the natural potential logs SP during the complex pointwise interpretation of well-logging data. The ways of increase of the self-descriptiveness and resolution ability of well-logging by the use of technology of the artificial neuron networks are offered. The results of the synthetic curve SP (alpha-SP) research with the heightened differentiation are given; ways of its application are indicated – the lithologic dismemberment, estimation of clayness during the pointwise interpretation in the terrigenous types of the well profile with the silty micaceous sandstones distribution.

Keywords: well survey, terrigenous strata, geological information value, resolution, artificial neural networks, synthetic log curve.