PROSPECT IDENTIFICATION USING SEISMIC ATTRIBUTES FOR AN OFFSHORE NIGER DELTA BASIN X FIELD

The offshore Niger Delta Basin "X" field presents significant opportunities for hydrocarbon prospecting; however, effective reservoir characterization remains challenging. This study addresses this challenge by employing a robust combination of seismic attributes, including amplitude, Root Mean Square (RMS) amplitude, variance edge, phase, frequency, and reflector continuity. Utilizing advanced seismic data processing and visualization techniques, the research aims to accurately map structural features, faults, horizons, and potential hydrocarbon traps within the "X" field. The integrated seismic attribute approach enables precise identification of prospective zones by enhancing fault delineation and improving reservoir characterization. The application of the structural smooth attribute significantly increases seismic resolution, allowing for the clear visualization of fault lines and reservoir boundaries, while the variance edge attribute proves instrumental in delineating fault trends and identifying potential trapping mechanisms. Additionally, the construction of 3D fault models using amplitude attributes enhances the interpretation of subsurface features, offering critical insights for targeted well placement. The results reveal two principal faults that align with the reservoir zones, indicating promising areas for detailed hydrocarbon exploration. The findings demonstrate that deploying a multi-attribute seismic analysis provides a cost-effective and reliable method for improving exploration accuracy, optimizing resource allocation, and supporting decision-making in offshore hydrocarbon development.