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Many of well known Iranian hydrocarbon reserves are concentrated in the anticlinal oil traps of the Asmari Formation. Fractures are too important in fluid flow simulation, because of their impacts on anisotropy and heterogeneity of the Asmari carbonate reservoirs. In order to fracture network modeling of the Asmari reservoirs, it’s necessary to have information about many parameters that most of them can not be got from the well data. Therefore, the extracted data from the remote sensing studies of the Asmari outcrops can be as a basis for determining these parameters. The remote sensing imagery is one of the main techniques available to geologists for locating and extracting fracture systems. The Kuh-e Asmari anticline in marginal part of the Zagros Fold-thrust belt has been selected for remote sensing studies of the faulting/ fracturing systems in the Asmari outcrops. In this study, Landsat (ETM+) images, ASTER images (with high spectral resolution), IRS-PAN images (with high spatial resolution), and a detailed Digital Elevation Model (with scale 1:25,000) covering the Kuh-e Asmari anticline were used. The geometrical correction, data processing and image enhancement of the satellite images were carried out in ER Mapper 6.4. Furthermore, to improve the fracture study, some 3D models were made by draping satellite images on the DEM. In this study, many data were extracted about the fracture traces. The results were delivered as figures,maps, 3D models and statistical graphs. The statistical and structural analysess of the Kuh-e Asmari anticline showed faulting/ fracturing systems which have been formed by different mechanisms, and in different times. The results of this study can be used for fracture pattern modeling and prediction hydrocarbon flow in the Asmari reservoirs.

Keywords: Landsat (ETM+) images, ASTER images, IRS-PAN images, Digital Elevation Model (DEM), Kuh-e Asmari, Fracture analysis, Naturally fractured reservoirs, Reservoir modeling.

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