Transcripción del resumen del autor. Small scale fractures around the wellbore, strongly affect the hydrocarbon production. Identification of fracture plays a main role in production and development plans of oil fields. Image logs are one of the powerful tools in fracture study in wells. Image log is a high resolution "pseudo picture" of borehole wall. Using these logs help to identify the exact orientation, depth and type of natural fractures. In this study, image logs of a well in a naturally fractured reservoir were interpreted in order to extract fractures. Statistically analysis has been done to identify the fracturing pattern. Present study shows that pattern of fracturing in Asmari and Pabdeh is similar but, the Gurpi formation is completely different. Fractures density in thin bedded intervals is high hence the maximum fractures density observed is in the upper Asmari and Pabdeh formations. Fracture density log shows two descending trends that are related to mechanism of folding.

1-2