Bayessian classifier in solution of the problem of probability forecasting of material composition of deep horizons of the Earth’s crust from geophysical data

Category: 13-1
P.A. Lelyaev, A.Ya. Saltykovskiy, M.E. Semenov, V.V. Matskovskiy

 

UDC 550.34.012

 

 

P.A. Lelyaev(1), A.Ya. Saltykovskiy(1), M.E. Semenov(2), V.V. Matskovskiy(3)

 

(1) Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia

(2) Voronezh State University, Voronezh, Russia

(3) Institute of Geography, Russian Academy of Sciences, Moscow, Russia

 

Abstract

A model of rock type classification by its density and speed founded on the classical Bayesian classifier is proposed. As of the object of research in the article considered the Voronezh crystalline massif, well-studied by geophysical methods.

Keywords: classification, algorithm, rock, speed, density, probability.

 

References

Afanasyev, N.S., On the issue of petrophysical classification of crystal rocks (on the example of Voronezh Massif), Vestnik Voronezh. Un-ta, Ser. Geologiya, 2001, no. 12, pp. 159-172.

Borovkov, A.A., Matematicheskaya statistika (Mathematical statistics), Moscow: Nauka, 1984.

Electronnyi uchebnik po promyshlennoi statistike (Electronic textbook on industrial statistics), Moscow: StatSoft, 2001, http://www.statsoft.ru/home/portal/textbook_ind/default.htm.

Lelyayev, P.A., Saltykovsky, A.Ya., Nadezhka, L.I., and Semenov M.E., The algorithm of identification of rock type in upper layers of the Earth crust on density and velocity of seismic waves (on the example of Voronezh Massif), Geofizicheskiye Issledovaniya, 2010, vol. 11, no. 2, pp. 5-14.