Assessing the efficacy of the post-stack processing in enhancing the quality of seismic data covering the Heba Oil Field, Abu Gharadig Basin, Egypt

Abstract

The present study deals with improving the seismic data quality to better interpret the subsurface structure of the Heba Oil Field using post-stack seismic data processing. Potential hydrocarbon accumulations have been discovered in the study area as deep as the Cretaceous Bahariya reservoirs. The seismic data used for these discoveries was processed mainly for this shallow section. The main target of this research is to enhance, mainly, the seismic imaging of the deeper section to help identify the deeper structures that could represent potential traps. Despite the seismic data processing being used on stacked seismic sections, i.e., post-stack processing, it enhanced not only the deeper section of the data but also the shallow. Time-variant frequency filtering (TVF) and predictive deconvolution were found to be the most effective processing techniques to increase the seismic resolution and, in turn, improve the data imaging quality. Several dipping reflectors representing deep geologic structures have been imaged with good continuity and remarkable geometry.