Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data

Elkhan Isgandarov

doi:10.24028/gj.v47i3.313653

Authors

Elkhan Isgandarov Azerbaijan State Oil and Industrial University,Baku,Azerbaijan, Azerbaijan

DOI:

https://doi.org/10.24028/gj.v47i3.313653

Keywords:

correlation, regression, forecast space, seismic-geological data, multivariate regression analysis, correlation methods of analysis, algorithm, program

Abstract

The article considers correlation methods used in complex interpretation of geophysical data, which is very important during the geological interpretation. A special place belongs to the methods for correlating gravity, seismicity, and geology. The point of such methods is to establish statistical relationships between the depths of various sedimentary complexes according to seismic exploration (or drilling) data and Bouguer anomalies and their transformants from the gravity surveys. The findings are extrapolated to the areas less studied by seismic exploration and drilling such as fields and hard-to-reach sites for which gravity data is available. For example, in the eastern part of the Middle Kura Depression of Azerbaijan, it is impossible to obtain reliable reference seismic data on the structure of the lower Eocene-Mesozoic stage due to the complex seismic and geological environments. The Department of Geophysics of the Azerbaijan State Oil and Industry University has developed a method for applying multivariate regression analysisusing the individual sections of conditional seismic horizons and detailed gravity survey data. Forecasting seismic-geological boundaries using statistical methods based on available reference seismic and gravity data improves the quality of gravity studies. The capabilities of existing methods of correlation and multivariate regression analysis have been analyzed. A combined method of correlation analysis and forecasting has been developed with taking into account the advantages of existing methods, which allows increasing the accuracy of forecasting seismogeological boundaries. Based on this method, a corresponding algorithm and the MRA-COMS-COM program have been developed and successfully tested on the available factual material.

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