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Fracture Characterization Via Diffraction Image Attributes

Authors: M.I. Protasov;

Fracture Characterization Via Diffraction Image Attributes

Abstract

Summary The paper presents an approach for the recovery of discrete fracture modeling parameters. It combines diffraction imaging, topological analysis of the diffraction images, and scattering indicatrix analysis. Here a pre-stack partial depth-migrated image containing wavefield from different spatial directions produces additional reliable information in terms of the scattering indicatrix attributes. The topological analysis is the 3D image processing algorithm based on the behavior of different diffraction amplitude levels. The results of the topological analysis of diffraction images are complemented by the scattering indicatrix attributes. The numerical results on the synthetic and real data demonstrate the approach’s possibilities for fracture reconstruction and characterization.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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