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The continuous advancement of methods and technologies in hydrocarbon exploration is driven by the need to identify and maximize promising targets for field development. One such method that has shown potential as a direct hydrocarbon indicator (DHI) is Low-Frequency Passive Seismic (LFPS). This technique utilizes naturally occurring microtremor waves to detect subsurface anomalies associated with the presence of hydrocarbons, primarily by analyzing spectral anomalies within the 1–6 Hz frequency range.
The South Sumatera Basin, recognized as one of Indonesia’s prolific and mature basin, continues to offer substantial untapped potential. These tectonic events have led to the formation of compartmentalized and multilayered reservoirs, necessitating advanced and integrated geophysical interpretation methods to enhance subsurface understanding.
This research proposes a novel methodology that integrates passive seismic attributes such as polarization, power spectral density (PSD), and vertical-to-horizontal spectral ratio (VHSR) with reservoir properties such as net sand map, hydrocarbon pore volume map (HCPV), and formation target surface map to enhance the identification of sweet spots in multilayer reservoirs. By combining LFPS data with subsurface information, this study aims to enhance the reliability of reservoir characterization in complex geological settings, such as the South Sumatra Basin.