KFU. Card publication. Satellite Gravimetry as a Tool for Forecasting Oil and Gas Potential

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

SATELLITE GRAVIMETRY AS A TOOL FOR FORECASTING OIL AND GAS POTENTIAL

Form of presentation

Articles in Russian journals and collections

Year of publication

2025

Язык

английский

Authors, employees of KFU

Garaev Fagim Nazipovich, author

Mulikova Dinara Ilkhomovna, author

Nurgaliev Danis Karlovich, author

Khamidullina Galina Suleymanovna, author

Authors, postgraduates KFU

Ikhsanova Diana Ildarovna, postgraduate kfu

Bibliographic description in the original language

Ognev I., Khamidullina G., Nourgaliev D., Garaev F., Ikhsanova D., Mulikova D. Satellite Gravimetry as a Tool for Forecasting Oil and Gas Potential // Russ. J. Earth Sci. 2025. P. 1–5.

Annotation

Russian Journal of Earth Sciences

Keywords

satellite gravimetry, oil and gas content, hydrocarbon deposits, gravity field, hydrocarbon exploration, heat flow, machine learning, logistic regression

The name of the journal

Russian Journal of Earth Sciences

URL

https://journals.rcsi.science/1681-1208/article/view/337464

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=318341&p_lang=2

Resource files

File name	Size (MB)	Format
F_2025ES0009751.pdf	1,37	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Garaev Fagim Nazipovich	ru_RU
dc.contributor.author	Mulikova Dinara Ilkhomovna	ru_RU
dc.contributor.author	Nurgaliev Danis Karlovich	ru_RU
dc.contributor.author	Khamidullina Galina Suleymanovna	ru_RU
dc.contributor.author	Ikhsanova Diana Ildarovna	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Ognev I., Khamidullina G., Nourgaliev D., Garaev F., Ikhsanova D., Mulikova D. Satellite Gravimetry as a Tool for Forecasting Oil and Gas Potential // Russ. J. Earth Sci. 2025. P. 1–5.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=318341&p_lang=2	ru_RU
dc.description.abstract	Russian Journal of Earth Sciences	ru_RU
dc.description.abstract	This study explores the use of satellite gravity data and derived crustal models for predicting oil and gas potential in the east of the Russian platform. The research utilizes structural data (including GOCE satellite gravity-derived Moho depth), thermal data, and hydrocarbon potential data. The methodology involves three steps: 1) statistical analysis using Student's -test to identify significant parameters distinguishing areas with and without hydrocarbon fields; 2) classification of the study area into three zones based on their hydrocarbon potential; and 3) application of a logistic regression machine learning model to forecast hydrocarbon potential in uncertain areas. The results show that most analyzed parameters have statistically significant differences between areas with and without hydrocarbon fields. The logistic regression model achieves 83% accuracy in predicting hydrocarbon potential. The study concludes that satellite gravity data and derived crustal models can be effectively used to forecast oil and gas potential in sedimentary basins, with the Precaspian basin, Cis-Ural trough, parts of the Central-Russia and Mezen rift systems, and the Timan-Pechora basin identified as the most promising areas in the east of the Russian platform.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	satellite gravimetry	ru_RU
dc.subject	oil and gas content	ru_RU
dc.subject	hydrocarbon deposits	ru_RU
dc.subject	gravity field	ru_RU
dc.subject	hydrocarbon exploration	ru_RU
dc.subject	heat flow	ru_RU
dc.subject	machine learning	ru_RU
dc.subject	logistic regression	ru_RU
dc.title	Satellite Gravimetry as a Tool for Forecasting Oil and Gas Potential	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU