Obtaining high quality seismic imaging, for the interpretation in shallow carbonate oil reservoirs with complex structure, like Issaran oil field, is challenging. Many geologic causatives affect the image quality and posing numerous problematic conditions for seismic interpreters. To achieve the required higher performance, seismic data conditioning is a crucial step in the pre-interpretation phase. The case study presented in this paper is a shallow heterogenous carbonate reservoir, associated with a complex stratigraphic and structural regime. The definition of the prevailing geoseismic conditions (such as: low velocity layer, high velocity layers, thin beds, truncated horizons and terminated units) and their impacts on the seismic data quality is the focus of this case study. However, the main issue investigated is whether the seismic acquisition and/or processing parameters have resolved these geoseismic conditions or not, thereby showing that, the use of seismic conditioning is advantageous. First, the available 2D seismic lines data were resampled and converted by interpolating them into 3D pseudo seismic data, to get the benefits of 3D seismic interpretation. After that, multiple structural oriented filters were applied to the pseudo volume, for eliminating the residual coherent and random noises. This further improved the quality of seismic data and sharpened the fault discontinuities. Following that, structural attributes were tested, to investigate how the data conditioning affected the clarity of fault patterns. Based on the significant improvement in imaging quality, the seismic data conditioning workflow, that has been implemented, is beneficial for the field development in Issaran oil field, Gulf of Suez, Egypt.