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Advanced seismic attributes applied on resolution-enhanced 2D seismic data for BSR mapping offshore Makran, Pakistan
Muhammad Kamal1, Aamir Ali1, Tiago M Alves2
1Department of Earth Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
This study introduces an integrated seismic attribute workflow to map gas hydrates and their associated bottom simulating reflectors (BSRs). The method enhances the identification of BSRs and potential free-gas zones in seismic data.
Area of Science:
- Geophysics
- Marine Geology
- Petroleum Geoscience
Background:
- Identifying gas hydrates and bottom simulating reflectors (BSRs) in seismic data is challenging due to signal limitations.
- Seismic attributes have proven effective in recognizing hydrocarbon reservoirs and can aid BSR interpretation.
Purpose of the Study:
- To test and apply an integrated seismic attribute workflow for mapping BSRs.
- To qualitatively interpret BSR-related anomalies, including potential free-gas indicators.
- To improve the identification of gas hydrate systems in the Makran Accretionary Wedge.
Main Methods:
- Applied structure-oriented data conditioning (dip-steered median filtering) to re-processed seismic data.
- Extracted amplitude attributes (Pseudo-Relief, Square-Root-of-Energy) and performed frequency decomposition (FFT, CWT).
- Utilized RGB color blending for visual identification of BSR-related anomalies.
Main Results:
- Pseudo-Relief highlighted the geometric expression and curvature of BSRs and anomalies.
- Square-Root-of-Energy revealed spatial variations in reflection energy across BSR intervals.
- Frequency decomposition (40 and 60 Hz) showed enhanced amplitude for BSRs and underlying reflections. RGB blending aided anomaly zone identification.
Conclusions:
- The integrated seismic attribute workflow effectively aids in mapping BSRs and interpreting associated anomalies.
- This method enhances the visualization and identification of potential gas hydrate and free-gas systems.
- Qualitative interpretations are supported by attribute analysis in the absence of calibration data.
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