Filtering Gravity Data Through Polinomial Trend Surfaces

L. Asimopolos; N.-S. Asimopolos

doi:10.3997/2214-4609.201702625

Filtering Gravity Data Through Polinomial Trend Surfaces
Authors L. Asimopolos¹, N.-S. Asimopolos¹
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Affiliations: ¹ Geological Institute of Romania
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 9th Congress of the Balkan Geophysical Society, Nov 2017, Volume 2017, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.201702625

Abstract

Summary

The analysis with polynomial trends surface is a filtering method that helps to recognize, isolate and measure trends, by separating large variations from local variation trends. This separation is accomplished by adjusting the trend function to different values. We calculated the rezidual Bouguer anomaly after removed the trend plan and than the trend surfaces of degree 6, from data WGM2012 (from Bureau Gravimétrique International). Keywords: trend surfaces, the smallest squares method, gravity

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2017-11-05

2024-04-24

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References

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http://bgi.omp.obs-mip.fr/

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Filtering Gravity Data Through Polinomial Trend Surfaces

Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201702625

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Filtering Gravity Data Through Polinomial Trend Surfaces

Abstract

From This Site

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The natural combination of full and image‐based waveform inversion

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Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis

Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture