How Use Electrical Image Log for Fractured Basement Reservoir Characterization. Example of the Kharir Field (Yemen)

No standard workflow, nor rules or common practices exist in the industry to describe reservoir properties of fractured basement. The purpose of this work, focused on a highly documented field case in Yemen (Kharir, block 10), is to develop a wide integrated analysis of structural data from well scale to reservoir scale to extract any possible driver which could be relevant for reservoir modeling. A new concept of interpretation based on field observations was developed for analyzing and upscalling wellbore electrical image log. This method aims to identify and characterize the first order structural domains: fault zones (thickness, main orientation, internal architecture…) and intercalated structural blocks (degree of fracturing, main fracture trends, dyke occurrence…). Particular attention has been given to fault ranking. When seismic and image log interpretations are compared, a good correlation is observed in terms of fault zones orientations, fault zones ranking (i.e. thickness versus throw), spatial distribution of deformation and structural inheritance. This approach permits to describe a first order structural network which can be considered as the reservoir backbone. In addition, detailed analyses on image log provide relevant input for reservoir modeling.