University of Isfahan Journal of Stratigraphy and Sedimentology Researches 2008-7888 26 1 2010 04 21 Application geostochastic method (Kriging) using RMS software to estimate the reservoir in-situ oil volume: A case study of the Khami reservoir in Dezful embayment Application geostochastic method (Kriging) using RMS software to estimate the reservoir in-situ oil volume: A case study of the Khami reservoir in Dezful embayment 103 120 16712 FA Bahman Soleimani Associated Prof., Geology Department, Faculty of Geological Sciences, Shahid Chamran University, Ahvaz Mona Rajab Zadeh MSc Student, Geology Department, Faculty of Sciences, Shahid Chamran University, Ahvaz Journal Article 2016 06 14 The Khami reservoir in one of the selected Oil Field, in SW of Iran in Dezful Embayment was investigated in view of reservoir zonation and modeling using RMS software. This reservoir consists of Fahlyan, Gadvan and Daryan formations and can be divided into 11 zones. The reservoir may be classified as a carbonate reservoir type. To provide used data in constructing mapping and petrophysical modeling of the Khami reservoir performed in different stages such as remove scatter data, remove trend, transfer data, geological girding, determine spatial structure of data. On the basis of geophysical information and petrophysical data, structural and petrophysical models of the reservoir were constructed. By using these models and the average porosity, water saturation and N/G thickness maps of all zones, the in- situ fluid volume of the reservoir is estimated to be 402 billion barrel (bbl). <strong> </strong> <strong> </strong>       The Khami reservoir in one of the selected Oil Field, in SW of Iran in Dezful Embayment was investigated in view of reservoir zonation and modeling using RMS software. This reservoir consists of Fahlyan, Gadvan and Daryan formations and can be divided into 11 zones. The reservoir may be classified as a carbonate reservoir type. To provide used data in constructing mapping and petrophysical modeling of the Khami reservoir performed in different stages such as remove scatter data, remove trend, transfer data, geological girding, determine spatial structure of data. On the basis of geophysical information and petrophysical data, structural and petrophysical models of the reservoir were constructed. By using these models and the average porosity, water saturation and N/G thickness maps of all zones, the in- situ fluid volume of the reservoir is estimated to be 402 billion barrel (bbl). <strong> </strong> <strong> </strong>       https://jssr.ui.ac.ir/article_16712_59804baf621e520302202cb722834c2b.pdf