Abstract
References
- Sadigova G. & Zamanova A. (2024). Filtering gravity data of Caspian-Guba, Absheron and Shamakhi-Gobustan oil and gas regions. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 29, 41-45.
Abstract
In addition to being a safe approach for the environment, studying the Earth's gravitational field is crucial for resolving numerous scientific and practical geological and geophysical issues. Technological developments in the field of gravitational field measurement have occurred recently. Gravimeter precision has improved, and satellite observations have produced fresh data. The development of techniques for mathematical data analysis is also required by the employment of space technology in the study of Earth's gravimetric field.The lithosphere and crust of the earth can be examined in a novel way with the aid of mathematical techniques. On the other hand, sedimentary basins and uncharted hydrocarbon resources can be studied through the mathematical analysis of gravity data. An urgent topic in geophysics is the mathematical analysis of gravimetric field data in conjunction with other data to better establish the structure of the earth's crust and lithosphere.The actual issue of mathematical interpretation and analysis of high-precision gravimetric data is the focus of this paper. In this paper, the density boundaries giving rise to gravitational anomalies in the studied region were found using the Spector-Grant method. Butterworth and Hartley filters were used to filter the gravimetric data. The power spectrum of the Hartley transform analysis of the Bouguer gravity values indicates that the long and short wavelength components of the gravity field may be distinguished. The interpretation of the regional anomalies shows that these anomalies depend on rising and sinking crystalline basement.
References
- Sadigova G. & Zamanova A. (2024). Filtering gravity data of Caspian-Guba, Absheron and Shamakhi-Gobustan oil and gas regions. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 29, 41-45.
Details
| Primary Language | English |
|---|---|
| Subjects | Statistics (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | September 15, 2024 |
| Publication Date | September 30, 2024 |
| Submission Date | January 30, 2024 |
| Acceptance Date | February 14, 2024 |
| Published in Issue | Year 2024Volume: 29 |
