3D Facies Classification Based on Seismic Variation Patterns

Y. Liu; Y. Wang

doi:10.3997/2214-4609.201413173

3D Facies Classification Based on Seismic Variation Patterns
Authors Y. Liu¹, Y. Wang¹
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Affiliations: ¹ Imperial College London
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 77th EAGE Conference and Exhibition 2015, Jun 2015, Volume 2015, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.201413173

Abstract

Summary

The unsupervised facies classification conventionally uses the amplitude magnitude information as the input. When there is a big magnitude difference in the seismic data, it is difficult to identify patterns in the weak amplitudes. Here, we use the pattern of the amplitude variations as the input to the classification. Tests on a 3D seismic volume show that the variation pattern helps the classification to identify the patterns within the area with weak amplitudes. The produced 3D facies volume enables a detailed facies analysis on the target interval in a carbonate reservoir.

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2015-06-01

2024-04-23

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References

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3D Facies Classification Based on Seismic Variation Patterns

Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201413173

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3D Facies Classification Based on Seismic Variation Patterns

Abstract

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The natural combination of full and image‐based waveform inversion

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