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Assaluyeh, Iran

Salahshoor K.,Petroleum University of Technology of Iran | Arjomandi R.K.,South Pars Gas Complex SPGC
2010 Chinese Control and Decision Conference, CCDC 2010 | Year: 2010

Control loop performance assessment is a new-emerging operator support technology that is used to keep automated control loops performing as optimally as possible. This paper addresses this critically important issue through a comprehensive evaluation of common assessment criteria to efficiently explore their capabilities to assess for different control loop scenarios. For this purpose, an integrated computational framework will be developed, inluding a HYSYS environment to simulate an industrial separator process plant so as to preserve its operational realities. A control loop assessment software package is incoporporated utilizing MATLAB to mimic as an independent supervisory computational platform. To provide an interface link between these two different software environments, an OLE (Object Linking Embedding) protocol has been employed. Extensive simulation test studies have been prepared to explore the performance loop assessment of each individual control loop in the simulated process plant against conservative loop tuning, valve stiction, random disturbance, and loop interaction as the most probable malfunctions in the study. The effectiveness of individual assessment metric to infer for each malfunction ocurrance has been illustrated . It will be shown that each criterion has its own merits and limitations, implying for a collective application of all the considered methods to efficiently detect all the probable malfunctions, reflecting differently in the considered assessment measures for the CLPA task . ©2010 IEEE. Source


Nabipoor Hassankiadeh M.,South Pars Gas Complex SPGC | Haghtalab A.,Tarbiat Modares University
Chemical Engineering Communications | Year: 2013

A comprehensive kinetic model for Fischer-Tropsch synthesis was developed. The dual mechanism theory for product distribution in Fischer-Tropsch synthesis developed by Fernandes was used in this study with a newly developed reaction rate equation. That is, the Langmuir-Freundlich isotherm for Fischer-Tropsch (FT) synthesis was employed, a modification of the commonly used Langmuir isotherm. Since the Langmuir-Freundlich isotherm can predict the adsorption of gases at a solid absorbent more accurately than the Langmuir isotherm, the new Langmuir-Freundlich kinetic model was developed for FT synthesis. The new kinetic model was used for product distribution, and the parameters of the equations were obtained from optimization. A product distribution prediction resulted from the dual mechanism theory and the newly developed kinetic model shows very good agreement with the experimental data. The average absolute deviation (AAD%) in paraffin and olefin prediction is about 13.96% and 11.41% respectively, for the considered mechanism using the Raje and Davis kinetic model. Two kinetic models have been derived in this study. For the reaction rate equations based on the Langmuir-Hinshelwood isotherm instead of the Raje and Davis kinetic model, AAD% decreased to 12.27% for paraffin and 11.17% for olefin, respectively. The newly developed kinetic model, Langmuir-Freundlich, improves the results of product distribution with the value of 9.33% and 9.19% for prediction of paraffin and olefin, respectively. © 2013 Copyright Taylor and Francis Group, LLC. Source


Tavakoli M.,South Pars Gas Complex SPGC | Nejati Kalateh A.,University of Shahrood | Ghomi S.,NIOC Exploration Directorate
Journal of African Earth Sciences | Year: 2016

The thick sedimentary units in Central Iran contain structures that form oil traps and are underlain by a basaltic layer which is amenable for study using its magnetic susceptibility. The study and modeling of such sedimentary structures provide valuable exploratory information. In this study, we locate and interpret an underground magnetic susceptibility interface using 3D non-linear inverse modeling of magnetic data to make a better judgment in the context of hydrocarbon existence. The 3D structure is reconstructed by making it equal to a number of side by side rectangular hexahedrons or prisms and calculating their thicknesses such that the bottoms of the prisms are corresponding to the magnetic susceptibility interface. By one of the most important mathematical tool in computational science, Taylor series, the non-linear problem changes to a linear problem near to initial model. In many inverse problems, we often need to invert large size matrices. To find the inverse of these matrices we use Singular Value Decomposition (SVD) method. The algorithm by an iterative method comparing model response with actual data will modify the initial guess of model parameters. The efficiency of the method and subprograms, programmed in MATLAB, has been shown by inverse modeling of free noise and noise-contaminated synthetic data. Finally, we inverted magnetic field data from Garmsar area in Central Iran which the results were acceptable. © 2015 Elsevier Ltd. Source


RazaviZadegan S.G.,South Pars Gas Complex SPGC | RazaviZadegan S.M.,Tehran University of Medical Sciences
Communications in Computer and Information Science | Year: 2014

Clustering categorizes data into meaningful groups without any prior knowledge. This paper presents a novel swarm-base clustering algorithm inspired from flock movement. Many algorithms solve the problem by optimizing a cost function but ours clusters data by applying one rule on data agent movements. We demonstrated that not only this simple rule is sufficient but completely effective in accurately dividing the data into natural clusters. It is a good model of how simply nature solves complex problems. Unlike some algorithms, this one does not need number of desired cluster in advance and discovers it by itself correctly. Eight data sets were used to compare the algorithm with five well-known algorithms. K-means and k-harmonic fail to find none-Gaussian clusters and two other swarm-base algorithms suffer severely from performance but our algorithm works successfully in both cases. The result confirms the superiority of our method. © Springer International Publishing Switzerland 2014. Source


Moghaddam D.K.,Payame Noor University | Vahdat D.,Payame Noor University | Ravand P.,South Pars Gas Complex SPGC
International Conference on Computers - Proceedings | Year: 2010

During gas refining in gas plant, one of the most dangerous gas products called H2S (Hydrogen Sulfide) is made. H2S is poisonous and kills anyone in few minutes. In case of H2S leaking from pipes which transfer it to the flare for burning emergency situation will occur, depending on H2S density in environment, the time for salvation is deferent. For example, if density of released H2S gas is 1000 ppm (Part per million) the time for salvation is less than 5 minutes. As you see, during these situations seconds are very important for salvation. If emergency situation arises in gas plant your natural reaction would be to get out swiftly. Swiping your ID badge as you leave might be the last thing on your mind. But what happens if the rescue services think you're still in the affected area? An entire team could put themselves at risk trying to save someone who is not even there or maybe had breathed the gas and fell on the ground. So, systems that can supervision and control site workers seem very important. Such systems can enhance safety of site workers. The solution to find everyone after an incident occurring in the gas plant is using a range of wireless sensor technologies to keep managers informed-on site and remotely- of what's going on. For personnel tracking, a Real Time Locating System (RTLS) that uses Radio Frequency Identification (RFID) technology would enable safety managers to watch everyone's location on a computer-based map of the site at a glance. RFID 'smart tags' have a chip and antenna that enable them to be located using radio signals. Personnel wear RFID-equipped badges that broadcast their whereabouts per second to a network of wireless transmitters are located around the plant. The transmitter network tracks the badges and sends the information to a central computer, which displays their location on a map of the site. Source

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