METHOD 3D FOR FORECASTING PROPERTIES AND STRUCTURE OF GEOLOGICAL OBJECTS BASED ON COMPUTER ANALYSIS OF THE SURFACE PROPERTIES OF SURFACE GEOLOGICAL AND GEOPHYSICAL FIELDS Russian patent published in 2020 - IPC G01V11/00 

FIELD: physics.

SUBSTANCE: invention relates to geotomographic prediction and can be used for prediction of properties and structure of geological objects. Summary: measurement and digital recording of absolute altitude of relief and parameters of geological and geophysical fields of the section of the investigated earth surface in X, Y coordinates are performed. Based on the measurement results, co-scale digital maps of distribution of values of geological and geophysical fields on the surface of the object – a grid-map are constructed. Using an algorithm based on finite Markov chain theory, grid maps are converted to layer-by-depth depth 3D forecast of non-linear variability of values of mark characteristics of one or several different-type geo-fields. Obtained as a result of solving inverse problem forecasting non-linear model of predictive depth estimates of variability of mark attributes of geo-fields in subsurface deposits is converted by geostatistical inversion method in forecast quantitative assessments of deep geological and geophysical properties of investigated rock mass. For this purpose, a priori petrophysical models of the investigated geological formation are used, which are constructed taking into account density, velocity of longitudinal or transverse waves, natural radioactivity, specific electric resistance and other properties.

EFFECT: high efficiency, efficiency and reliability of a priori Markov prediction of the structure and properties of the rock mass under study.

3 cl, 8 dwg