Potential stratigraphic traps delineation utilizing the spectral decomposition approach for RGB color blending attribute generation: a case study in the Malay Basin

Al-Masgari, A.A.-S. and Elsaadany, M. and Siddiqui, N.A. and Latiff, A.H.A. and Abubakar, A. and Imran, Q.S. and Babikir, I. and Khan, M. and Adeleke, T. (2022) Potential stratigraphic traps delineation utilizing the spectral decomposition approach for RGB color blending attribute generation: a case study in the Malay Basin. In: UNSPECIFIED.

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Abstract

Implementing the RGB color blending attribute of the decomposed spectral has been successfully conducted for delineating the potential stratigraphic traps within the geomorphological elements of the studied interval from -1253ms to -800ms. The investigated area is situated in the peninsular Malaysia-Malay Basin and covering two neighbouring fields (Inas and Melor). Several fluvial system deposits dominate the studied interval. These interval's time slices maps reveal several geomorphological features such as low meandering and superimposed fluvial channels system. Moreover, several structural elements and seismic artefacts are also delineated within the depositional sequences (DS-01-02) of Inas and Melor fields. The channel's sinuosity degree reflects the slope ratio of the substratum during the river's lifetime along the channel pathways. However, the low sinuosity of the main channel reflects the higher slope of the bedrock, while the high sinuousness of channels implies a lower depositional substratum slope. Validation steps have been performed utilized the gamma-ray logs signatures from several wells. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 2nd International Conference on Earth Resources 2020, ICER 2020 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:178997
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 19 Dec 2023 03:23
Last Modified: 19 Dec 2023 03:23
URI: https://khub.utp.edu.my/scholars/id/eprint/16824

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