Lithofacies identification can provide qualitative information about rocks. It can also explain rock textures which are importantcomponents for hydrocarbon reservoir description Sarvak Formation is an important reservoir which is being studied in the Marun oilfield, in the Dezful embayment (Zagros basin). This study establishes quantitative relationships between digital well logs data androutin...

[1] This paper investigated the interaction of groundwater and seawater in a tidally influenced gravel beach. Field observations of water table, pore water salinity were performed. The two‐dimensional finite element model MARUN was used to simulate observed water table and salinity. Based on field observations and model calibrations, a two‐layered beach structure was identified which is charact...

for this study, asmari (oligo-miocene) and bangestan (cretaceous) reservoir oils from themarun oilfield were studied geochemically. gas chromatograms and stable isotopes of carbon and sulfur indifferent oil fractions were studied. normal alkanes nc15+ are as high as 93% with a saturate percentage up to53.9% which reveal a high maturity of asmari and bangestan reservoir paraffinic oils. carbon p...

A new chemical compound is developed at Petroleum University of Technology to enhance the recovery of the free imbibition process and simultaneously hinder asphaltene precipitation. The compound is tested on heavy oil samples from Marun oil field, Bangestan reservoir. The effects of the chemical compound on viscosity, hydrocarbon composition, and average molecular weight of the heavy oil are in...

Reservoir zonation is the most important job in oil industry which dominantly relies on the major properties of rocks. Fundamental properties of rocks are usually understood by their detailed description in the field (lithofacies analysis) and laboratory (petrofacies analysis). The facies (lithofacies and petrofacies) determination in most subsurface studies is impractical, due to lack of cores...

Abstract The geomechanical characteristics of a drill formation are uncontrollable factors that crucial to determining the optimal controllable parameters for drilling operation. In present study, data collected in wells drilled Marun oilfield southwestern Iran were used develop adaptive network-based fuzzy inference system (ANFIS) models parameters. specific energy (DSE) was calculated using s...