A carbon-based industry, such as oil refinery, needs to change its business model to achieve a green business. Considering the existing too much data, the modeling procedure is complex. Therefore, combination of the Fuzzy Delphi method and System Dynamics can be considered to cover this complexity. The starting point in this work is literature review of prior studies on the same common topic an...

Crude oil blending is an important unit operation in petroleum refining industry. A good model for the blending system is beneficial for supervision operation, prediction of the export petroleum quality and realizing model-based optimal control. Since the blending cannot follow the ideal mixing rule in practice, we propose a static neural network to approximate the blending properties. By the d...

Crude oil blending is an important unit operation in petroleum refining industry. A good model for the blending system is beneficial for supervision operation, prediction of the export petroleum quality and realizing model-based optimal control. Since the blending cannot follow the ideal mixing rule in practice, we propose a static neural network to approximate the blending properties. By the d...

BACKGROUND Literature abounds linking one's job to certain unpalatable health outcomes. Since exposures to hazardous conditions in industrial environments often results in sundry health effects among workers, we embarked on this study to investigate the hepatic health effects of occupational activities in the petroleum refining and distribution industry. METHOD Biochemical markers of liver fu...

The application of new information technologies in the field automation oil refining and petrochemistry has not yet been carried out at proper level. At modern refineries, big data are being introduced. Big Data is one key areas digital production can serve as a tool for integrating technological installations equipment that have wide range about process main whole. fourth industrial revolution...