The detection of hydrocarbon seepages and their effects on the ground can play an important role in the exploration of hydrocarbon reserves in the oil and gas industry. Hydrocarbon microseepage causes surface changes such as clay minerals alteration, bleached red beds (caused by changes in the composition of iron oxide), and the formation of carbonate minerals at the up surface of hydrocarbon reservoirs. These changes can be identified by remote sensing techniques. In this study, a region in southwest Kermanshah province and northwest Ilam has been selected to investigate hydrocarbon microseepage. This region is important in terms of being located in the structural zone of the Zagros folded and is rich in terms of hydrocarbon resources. In this study, first the necessary pre-processing was performed on the ASTER and ETM + images of the study area. Then using the methods Band Ratio, Least Square Fit, Crosta technique, False Color Composite and Spectral Angle Mapper, hydrocarbon microseepage induced alterations, including areas with kaolinite mineral, iron oxide (hematite and goethite) and carbonate minerals were identified. In the next stage, to prepare the hydrocarbon potential map for subsequent discoveries, layers such as lithology, fault, anticlinal axes, and alterations associated with hydrocarbon reserves were made. In the final stage, by combining these information layers with the fuzzy logic method in the geographic information system, a hydrocarbon potential prediction map was prepared. In the final map, several regions were introduced as potential hydrocarbon areas for field search. The location of several new exploratory fields understudy in the proposed areas, it could be a reason to prove appropriate results using remote sensing and fuzzy logic method to introduce potential hydrocarbon points in this study