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

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...

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Main Author: Е.Х. Ісгандаров
Format: Article
Language:English
Published: Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine 2025-06-01
Series:Геофизический журнал
Subjects:
Online Access:https://journals.uran.ua/geofizicheskiy/article/view/313653
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author Е.Х. Ісгандаров
author_facet Е.Х. Ісгандаров
author_sort Е.Х. Ісгандаров
collection DOAJ
description 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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spelling doaj-art-fa69de3c40a7459fbb441b4a58f5d0f62025-06-27T10:10:08ZengSubbotin Institute of Geophysics of the National Academy of Sciences of UkraineГеофизический журнал0203-31002524-10522025-06-0147310.24028/gj.v47i3.313653Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic dataЕ.Х. Ісгандаров0Azerbaijan State Oil and Industrial University,Baku,Azerbaijan 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. https://journals.uran.ua/geofizicheskiy/article/view/313653correlationregressionforecast spaceseismic-geological datamultivariate regression analysiscorrelation methods of analysis
spellingShingle Е.Х. Ісгандаров
Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
Геофизический журнал
correlation
regression
forecast space
seismic-geological data
multivariate regression analysis
correlation methods of analysis
title Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
title_full Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
title_fullStr Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
title_full_unstemmed Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
title_short Algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
title_sort algorithms of correlation methods for comprehensive interpretation of gravimetric and seismic data
topic correlation
regression
forecast space
seismic-geological data
multivariate regression analysis
correlation methods of analysis
url https://journals.uran.ua/geofizicheskiy/article/view/313653
work_keys_str_mv AT ehísgandarov algorithmsofcorrelationmethodsforcomprehensiveinterpretationofgravimetricandseismicdata