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<p>Hydrocarbon exploration in the Penobscot Field, Scotian Basin, necessitates advanced geophysical techniques to delineate complex subsurface reservoirs. This study focuses on the Logan Canyon Formation, particularly the Cree Member, which hosts fluvio-deltaic channel systems known for their hydrocarbon potential. To enhance reservoir characterization, we integrate conventional post-stack seismic attributes, including RMS amplitude, dominant frequency, sweetness, and RGB blended spectral decomposition, applied to dip-steered median filtered seismic data. A dip-steered median filter of window size of 1(inline) × 3(crossline) × 5(sample) was selected through iterative filtering process and employed to suppress random noise and footprints, improving subsurface fault and channel delineation. Well-log analysis provided lithological differentiation, with cross-plot analysis confirming porous sand intervals suitable for hydrocarbon accumulation. Structural interpretation using time relief and coherence maps revealed significant fault systems and depositional variations, aiding in reservoir compartmentalization. Isochron maps highlighted sediment thickness variations, indicative of channelized deposition. Spectral decomposition and RGB blending effectively visualized channel morphologies, identifying key sediment pathways. Attribute analysis showed that major channels exhibited high RMS amplitude and moderate-to-high sweetness values, correlating with potential reservoir sands. Dominant frequency variations indicated lithological heterogeneity and potential fluid presence. The integrated analysis enhances understanding of the Logan Canyon Formation’s depositional framework and hydrocarbon prospectivity, demonstrating the efficacy of seismic attribute-based methods in delineating reservoir facies within complex fluvio-deltaic systems.</p>

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Attribute-assisted geophysical characterization of fluvio-deltaic channel system in Penobscot Field, Scotian Basin

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Pradeep Kumar,
  • Satya Narayan,
  • Birendra Pratap

摘要

Hydrocarbon exploration in the Penobscot Field, Scotian Basin, necessitates advanced geophysical techniques to delineate complex subsurface reservoirs. This study focuses on the Logan Canyon Formation, particularly the Cree Member, which hosts fluvio-deltaic channel systems known for their hydrocarbon potential. To enhance reservoir characterization, we integrate conventional post-stack seismic attributes, including RMS amplitude, dominant frequency, sweetness, and RGB blended spectral decomposition, applied to dip-steered median filtered seismic data. A dip-steered median filter of window size of 1(inline) × 3(crossline) × 5(sample) was selected through iterative filtering process and employed to suppress random noise and footprints, improving subsurface fault and channel delineation. Well-log analysis provided lithological differentiation, with cross-plot analysis confirming porous sand intervals suitable for hydrocarbon accumulation. Structural interpretation using time relief and coherence maps revealed significant fault systems and depositional variations, aiding in reservoir compartmentalization. Isochron maps highlighted sediment thickness variations, indicative of channelized deposition. Spectral decomposition and RGB blending effectively visualized channel morphologies, identifying key sediment pathways. Attribute analysis showed that major channels exhibited high RMS amplitude and moderate-to-high sweetness values, correlating with potential reservoir sands. Dominant frequency variations indicated lithological heterogeneity and potential fluid presence. The integrated analysis enhances understanding of the Logan Canyon Formation’s depositional framework and hydrocarbon prospectivity, demonstrating the efficacy of seismic attribute-based methods in delineating reservoir facies within complex fluvio-deltaic systems.