persian gulf and its coastal areas are the world's largest source of crude oil and related industries govern the region. one of the contaminants in this area is heavy metals associated with oil spill. more importantly, vanadium, nickel and zinc can be named in this regard. in this study, the contamination of northern coasts of persian gulf is selected to investigate for trace metals of v, ni, c...

The aim of the current study is to evaluate the effects of inhibitors or solvents on asphaltene precipitation under reservoir conditions. To this end, the interaction between live oil and solvent, and its side effects on precipitated/dissolved asphaltene were predicted via Miller’s entropy modified polymer solution theory under reservoir conditions. Then, the adjustable parameters of the model ...

To improve the ability of security defense in supervisor control and data acquisition (SCADA) for oil and gas field, a new security model for oil and gas SCADA based on factor neural network was presented. Firstly, definition of factor and factor Space were given. Then, formal description of knowledge factor expression, analysis factor neuron and analog factor neuron were described. Finally, ex...

Background & Aim: Drought stress, as a main abiotic stress, has a significant influence on growth and metabolic activities of plant species. In this study, the influence of reduced irrigation on dry herbage, essential oil yield, and chemical components of two thyme species were investigated. Experimental: This study was done in an experimental greenhouse, I.A.U., Shahrekord Branch, Iran at 201...

in this paper, a model based on gmdh type neural network, is used to predict gas price in the spot market while using oil spot market price, gas spot market price, gas future market price, oil future market price and average temperature of the weather. the results suggest that gmdh neural network model, according to the root mean squared error (rmse) and direction statistics (dstat) statistics ...