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Improving identification of valid depth estimates from gravity gradient data using curvature and geometry analysisGreen Open Access

Author: J. Barraud
Journal name: First Break
Issue: Vol 31, No 4, April 2013
DOI: EAGE-EXPORT-FAKE-DOI
Special topic: EM/Potential Methods
Language: English
Info: Article, PDF ( 620.73Kb )

Summary:
Joseph Barraud discusses practical ways to analyze the results provided by curvature-based depth estimation from gravity gradient data which allow the interpreter to discriminate between reliable and spurious estimates.

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