Wireless critical process control in oil and gas refinery plants

2012 ◽  
Author(s):  
S. Savazzi ◽  
S. Guardiano ◽  
U. Spagnolini
Keyword(s):  
Process Control ◽  
Oil And Gas ◽  
Critical Process ◽  
Gas Refinery

scholarly journals Evaluation of Coordination of Emergency Response Team through the Social Network Analysis. Case Study: Oil and Gas Refinery

2015 ◽  
Vol 6 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Iraj Mohammadfam ◽  
Susan Bastani ◽  
Mahbobeh Esaghi ◽  
Rostam Golmohamadi ◽  
Ali Saee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Oil And Gas ◽  
The Social ◽  
Response Team ◽  
Gas Refinery

scholarly journals Betung bamboo-based activated carbon bioadsorbent for the separation of hydrogen-methane gas mixture

2018 ◽  
Vol 67 ◽  
pp. 02039
Author(s):  
Mahmud Sudibandriyo ◽  
Melody Oratmangun
Keyword(s):  
Activated Carbon ◽  
Carbon Content ◽  
Oil And Gas ◽  
Langmuir Model ◽  
Separation Process ◽  
Bet Surface Area ◽  
Gas Mixture ◽  
Hydrogen Recovery ◽  
Characterization Test ◽  
Gas Refinery

Hydrogen recovery from off gas of hydrocracking and hydrotreating unit is one of the crucial processes in an oil and gas refinery unit as this process helps in lowering the expenses for operations. This study aims to obtain activated carbon that is made from Betung bamboo which can be used as the adsorbent in this process. The activated agents used are H3PO4 and K2CO3, respectively. Each activation lasts for 30 minutes. The results of the characterization test shows that the Iodine number of the activated carbon produced reaches 916.4 mg/g with BET surface area of 465.2 m2/g. SEM-EDX analysis shows that the carbon content is 74.83%. The activated carbon obtained is used to separate Hydrogen and Methane from its mixture at 10, 20 and 30oC with pressure variations of 1 - 6 bar. The results indicate that the maximum number of moles adsorbed from CH4(21.5%)/H2 gas mixture is 0.247 mmol/g, that has been carried out at 6 bar with temperature of 10oC. Methane has 2.2 times higher adsorption capacity than hydrogen, therefore, the Betung bamboo based activated carbon produced from this research can be applied as the adsorbent in the separation process of CH4/H2 mixture and it fits the Langmuir model.

scholarly journals Combined diagnostics of oil and gas refinery equipment

2019 ◽  
Author(s):  
V. N. Permyakov ◽  
L. B. Khairrulina ◽  
O. B. Krut
Keyword(s):  
Oil And Gas ◽  
Refinery Equipment ◽  
Gas Refinery

Multi-phase flow measurement in a gas refinery using decentralized Lyapunov–based adaptive observer

2020 ◽  
pp. 014233122096497
Author(s):  
Abolfazl Varvani Farahani ◽  
Mohsen Montazeri
Keyword(s):  
Kalman Filter ◽  
Gas Flow ◽  
Oil And Gas ◽  
Unscented Kalman Filter ◽  
Adaptive Observer ◽  
Actual Process ◽  
Lumped Model ◽  
Multi Phase Flow ◽  
Multi Phase ◽  
Gas Refinery

This paper presents a new Lyapunov-based nonlinear adaptive observer and joint unscented Kalman filter to precisely estimate the states and the parameters for the low-order lumped model of the multi-phase flow at the gas refinery. The main focus of the study is to estimate the discharge coefficient of the orifice meter installed on the interconnection lines of the subsystems (parameters) and the total oil and gas mass flows (states). The adaptive estimation is conducted using the real-time measurements including choke pressure, bottom line pressure, single-phase gas flow, and single-phase liquid flow in the refinery outlet. To check the stability and performance of the system against changes, the Lyapunov theory has been used. In all stages, the investigations were based on the data collected from the actual process in the South Pars Gas Complex, Iran. Using the dynamic HYSYS simulation, it is found that the proposed adaptive observer is capable of estimating the oil and gas flows and identifying the discharge coefficient of the flow meter at issue. To show the performance of the proposed adaptive observer, it is evaluated against and compared with the unscented Kalman filter. The comparison of the results obtained from the proposed observer, unscented Kalman filter, and dynamic HYSYS simulation with data collected from the actual process of the refinery shows the appropriate performance of the both estimation algorithms in detecting the changes in liquid and gas flow rates and the consistency of their results with the real process in the South Pars Gas Complex. The simulations reveal that low-order lumped model is sufficient for estimation of parameters and states of the multiphase flow entering the gas refinery.

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