Research institute of Petroleum Industry (RIPI) Journal of Petroleum Research 2345-2900 25 83 2015 11 22 Improving Electrofacies Analysis by Integrating Wireline and Image Logs in Asmari Formation Using MRGC Improving Electrofacies Analysis by Integrating Wireline and Image Logs in Asmari Formation Using MRGC 186 194 543 10.22078/pr.2015.543 FA Niloufar Farazani Department of of Earth Scineces, University of Oslo, Oslo, Norway Farhad Khoshbakht Department of Reservoir Study and Field Development, Research Institute of Petroleum Industry (RIPI), Tehran Vahid Tavakoli Department of Sedimentology and Petroleum Geology, University of Tehran Journal Article 2015 12 27 In this paper, electrofacies in ASMARI formation in Gachsaran oil field were determined using multi resolution graph-based clustering method (MRGC), This oil field is located in the southwest of Iran. The determination of electrofacies in this field is performed by using the combination of image logs and other well logs obtained from one of the wells in the field. In order to obtain an exact evaluation, environmental corrections were performed on the logs. The comparison of lithology results, shale volume, porosity, and water saturation with determined facies, using clustering analysis by applying image logs, shows acceptable agreement between the obtained electrofacies and the corresponding lithological results, and represents a new categorization of the formation. This new categorization has reservoir aspects; the variations of the petrophysical properties in each facies are unique and the variations of these indices are determined in individual facies. Moreover, by considering the span of the identified electrofacies, the reservoir and non-reservoir layers are distinguished based on the performed zoning.   In this paper, electrofacies in ASMARI formation in Gachsaran oil field were determined using multi resolution graph-based clustering method (MRGC), This oil field is located in the southwest of Iran. The determination of electrofacies in this field is performed by using the combination of image logs and other well logs obtained from one of the wells in the field. In order to obtain an exact evaluation, environmental corrections were performed on the logs. The comparison of lithology results, shale volume, porosity, and water saturation with determined facies, using clustering analysis by applying image logs, shows acceptable agreement between the obtained electrofacies and the corresponding lithological results, and represents a new categorization of the formation. This new categorization has reservoir aspects; the variations of the petrophysical properties in each facies are unique and the variations of these indices are determined in individual facies. Moreover, by considering the span of the identified electrofacies, the reservoir and non-reservoir layers are distinguished based on the performed zoning.   https://pr.ripi.ir/article_543_81448138f5f163ccdba4acc69819f280.pdf