Reducing Thin Bed Reservoir Interpretation Uncertainty Using Comprehensive AVO Classification

Almasgari, A.A. and Elsaadany, M.M. and Latiff, A.H.A. and Siddiqui, N.A. and Purnomo, E.W. and Babikir, I.A. and Adeleke, T. and Imran, Q.S. (2020) Reducing Thin Bed Reservoir Interpretation Uncertainty Using Comprehensive AVO Classification. Petroleum and Coal, 62 (4). pp. 1577-1585. ISSN 13377027

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Abstract

The results of this study disclose some of the geological elements that have been emphasized using spectral decomposition. The point of using the spectral decomposition here is to show the importance of the comprehensive AVO from the spectral decomposition attribute in distinguishing the reservoir sand bodies. The same features are clearer delineated in the RGB color blending as non-sand bodies. However, spectral decomposition was able to resolve the thin bed that was masked by tuning effects in seismic amplitude such as Faults, channels, and point bars. However, the weak point of using the spectral decomposition is there is still a problem to figure out whether these channels or bars are filled with sand or by shale. Comparatively, the comprehensive AVO is calculated from near and far stacked seismic data of a similar area shows that comprehensive AVO is also able to delineate a thin bed as spectral decomposition does. Moreover, the comprehensive AVO confidently distinguishes the sand lithology (hot color attribute) from shale lithology (cool color attribute). © 2020. All Rights Reserved.

Item Type: Article
Additional Information: cited By 2
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:28
Last Modified: 10 Nov 2023 03:28
URI: https://khub.utp.edu.my/scholars/id/eprint/13630

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