Abstract

Seismic attribute analysis has become a critical tool in modern geophysical interpretation, enabling the transformation of conventional seismic data into meaningful geomorphological features. By extracting attributes such as amplitude, phase, frequency, coherence, and curvature, interpreters can enhance the visibility of subsurface features, including faults, stratigraphic discontinuities, and fluid indicators. These attributes are instrumental in delineating structural and stratigraphic traps, characterizing depositional systems, and identifying potential hydrocarbon accumulations. Incorporating attribute analysis with data-driven techniques thus provides a high-resolution, quantitative framework for subsurface interpretation, supporting improved decision-making in hydrocarbon exploration and field development. The present study focuses on the integrated reservoir characterization and seismic attribute analysis of a ~150 sq. km area. Pre-stack depth migrated (PSDM) Scale back to time seismic volume was utilized for detailed structural interpretation, attribute analysis, and delineation of the Vashishta channel. Seismic attributes such as variance, fault likelihood, and CMY blending (Tensor, SO Semblance, and Dip). Pre-stack seismic inversion and advanced attribute analyses including spectral decomposition, GLCM-based texture attributes, sweetness, (Far–Near)*Far reflectivity, and phase decomposition were used to delineate the Vashishta channel and associated stratigraphic features. By integrating structural elements, seismic attributes, and core/laboratory data, a comprehensive gross depositional model of the study area was prepared. The results provide valuable insights into reservoir distribution, depositional setting, and hydrocarbon prospectivity of the Vashishta channel.