Enhancing the Resolution of Seismic Data using Spectral Blueing Technique at North Silah Deep Oil Field, Fayoum Area, North Western Desert, Egypt.

Document Type : Original Article

Authors

1 Petrosilah Petroleum Company

2 Geophysics Department, Faculty of Science, Ain Shams University, Cairo, Egypt

3 Exploration and development director for Mordic Geo.

Abstract

North Silah Deep Oil Field lies in the North Silah Deep Development Lease within Fayoum concession in Egypt's northern Western Desert. In the domain of reservoir prediction, the application of spectral blueing for seismic resolution enhancement proves crucial for separating involved details within the Abu Roash "G" Member sand reservoir in the North Silah Deep Oil Field. This reservoir exhibits both vertical and lateral heterogeneities, primarily attributed to the Late Cenomanian Abu Roash 'G" Member, characterized by shale, carbonate, and intermittent sandstone streaks, some of them containing shale content.
This study utilizes spectral blueing to enhance seismic resolution, providing insights into Abu Roash "G" sand reservoir. In the North Silah Deep Field, spectral blueing reveals isolated channels and assists in mitigating uncertainties regarding reservoir connectivity.
The methodology employs seismic spectral blueing, a technique enhancing vertical resolution by shaping the seismic spectrum. The workflow involves generating a reflectivity series, deriving an operator, and applying it to the seismic data. Steps include estimating average seismic spectra, computing well reflectivity spectra, fitting trend lines, calculating operator amplitude spectra, maintaining seismic phase, and convolving the seismic volume.
Application of spectral blueing demonstrates notable improvements in seismic data frequency characteristics, contributing to enhance vertical resolution. The methodology is applied to the study area, illustrating discernible differences between original and enhanced seismic data. The heightened frequencies captured by spectral blueing offer a clearer and more detailed representation of subsurface geological characteristics, providing valuable insights for reservoir characterization and future drilling decisions.
 

Highlights