high viscosity with plc program oil refinery machine in mozambique

                                               
                                               
                                               
                                               
                                               
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  • Can a SCADA/PLC system control a whole oil refinery?
  • Oil and gas refineries generally rely on a Distributed Control System (DCS) to provide all process and equipment control functionality. In this paper, a SCADA/PLC system is used to control a whole oil refinery instead of the conventional control through DCS.
  • Can machine learning predict viscosity in a multiphase reservoir oil system?
  • In a multiphase reservoir oil system, and through the application of machine learning approaches Shao et al. 21 developed three viscosity prediction models. Input data, including gas-oil and water¨Coil molar ratios, reservoir pressure, and reservoir temperature were used.
  • Can machine learning predict viscosity?
  • In an attempt of predicting viscosity, Aladwani and Elsharkawy 22 implemented three supervised machine learning regression (SMLR) models. The density parameter was their opted additional input parameter in addition to the common black oil parameters (API, temperature, and pressure).
  • Why should we use SCADA/PLC instead of DCS in oil refinery?
  • Constructing a highly stable and reliable SCADA/PLC system instead of DCS must realize automatic management and control of oil refinery process in order to avoid the waste of manpower, physical resources, and also to increase the safety of workers.
  • Can automated PLC systems be used in petrochemical industry?
  • Third, this research focused only on the petrochemical industry. This article proposes a framework for an automated PLC system for operating a petroleum products terminal. The system is integrated with ML techniques for the automatic level detection of tanks in operation. The framework consists of three stages.
  • How can a PLC system be used in a petroleum products terminal?
  • This article proposes a framework for an automated PLC system for operating a petroleum products terminal. The system is integrated with ML techniques for the automatic level detection of tanks in operation. The framework consists of three stages. In the first, the PLC program is created using Add-On instructions.