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Abstract

Summary

Karst formations present unique challenges in subsurface exploration, especially in environmental evaluations for carbon capture and storage (CCS) site selection. A study conducted in the Central Luconia Province, Malaysia, aimed to assess karst geohazard risks in a carbonate reservoir using conventional subsurface karst mapping methods. This involved manual selection of geological patterns on seismic data, aided by spectral decomposition analysis and cross-plot guided amplitude enhancement. The study classified mapped karst features into risk groups based on volume, diameter, and spatial distribution, refining geohazard assessment strategies. Paleoscan software facilitated volume calculations and dendritic feature segmentation, contributing to comprehensive risk evaluation. Sinkhole risk assessment was based on diameter, with thresholds set according to known surface sinkhole sizes. The integration of mapping results provides detailed insights for decision-making in CCS projects, enhancing safety and success in navigating karst environments.

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/content/papers/10.3997/2214-4609.202479007
2024-11-12
2026-01-25
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References

  1. Lydia, S. (2023, August 4). 14 of the deepest sinkholes on Earth. Livescience.com. https://www.livescience.com/planet-earth/geology/14-of-the-deepest-sinkholes-on-earth
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