New technologies for spatial analysis of geological and geophysical data

Victor Tatarinov, GC RAS, Russia

Authors: Agayan S.M., Belov S.V., Bogoutdinov Sh.R, Gvishiani A.D., Morozov V.N., Tatarinov V.N.,
Geophysical Center of RAS, Russia

Deposits of highly radioactive wastes (HRW) inside geological formations are selected based on comparing several competing areas of the Earth crust. This comparison is based on geographically interlinked geophysical data, which can be noisy, have different format or discrepancy to each other.

In space-time analysis of geological and geophysical data the following kinds of uncertainty may arise: (a) Low accuracy of initial data owing to the errors of applied measuring techniques. This results in inaccuracy in variables preset on models and in initial and limiting conditions; (b) Inaccuracy of environmental models owing to considerable idealizing of complex natural processes models, linearization, digitization and others. Artificial intelligence is applied to solve problems of this kind.

We are developing the latter line based on the creation of algorithms to process geological and geophysical data with uncertain initial data with the use of artificial intelligence methods. At present RODIN, FLARS, DRAS, KRISTALL, FQILIBRIUM and MONOLIT algorithms have been elaborated.
Testing algorithms allowed us to obtain good results for various types of data, geoelectrical, geomagnetic and gravitational records of geophysical signals.

This was enabled through identification of deep-lying linear anomalies of probably active tectonic deformations in the area of Nizhnekansky granitoid rock mass (Krasnoyarsk region) where the Russia's first HRW deposit is planned. Spatiotemporal data on magnetic anomalies, relief, surface irregularity, etc. were used for the analysis. This analysis provided identification of areas for detailed geophysical surveys and laying GPS stations.

The work is supported by RFFI (grants no.04-05-65055-а and no. 05-05-64975) and ISTC МНТЦ (project no.2764).



Keywords: spatial analysis  geophysical data radioactive wastes