مجله فرآیند نو
پیاپی 79 (پاییز 1401)

Undoubtedly, the air pollution issue is one of the most prominent problems in today's societies. Therefore, one of the human goals is to enhance air quality. The main challenge in this paper is to choose the best air pollution control equipment based on the perspective of an analytical hierarchical process (AHP). The AHP is a multifaceted method of decision-making based on different regulations in order to achieve logical consequences, which Expert Choice software was employed. Cost parameters (operational and material), yield, environmental regulations, pollution sources and operating conditions are selected as process criteria. Also, cyclone separators, scrubbers, electrostatic precipitators, and fabric or bag filters are alternatives for this process. Due to a pairwise comparison of criteria, sub-criteria and alternatives in software, the electrostatic precipitator was chosen as the best control equipment with a preference of 38% over other apparatus. Also, the cost criterion was the most preferred with 31.2%.

This study investigates the effect of new nanocomposites (ZnO/SiO2/Xanthan) for the most appropriate selection of nanocomposites concentration in sandstone porous media. This study has been done for the first time in sandstone reservoir. First, the morphology of nanocomposites was investigated using XRD, SEM tests. Then, the effect of nanocomposite on changes in wettability, surface tension, viscosity, zeta potential, pH, and density in different concentrations of nanocomposite in tank conditions was investigated. Based on the results of this study this study, the optimal concentration was selected for fluid dynamic tests. The optimum choice of fluid can reduce many problems, such as reducing oil recovery due to blocking the pores and throat of rocks. According to lowest contact angle (36°), highest zeta potential (-49.68 mV) in the presence of nanocomposites, 40 ppm was chosen as the optimum concentration.

Separation of carbon dioxide, as a main environmental pollutant, from natural gas using amine mixture is one of the most common methods. In this research, the optimal composition of the amine mixture was determined using the method of designing limit vertices. The amine mixture used in this research included water, piperazine and 1-butyl-3-methylimidazolium hydrogen sulfate. In order to measure the solubility of carbon dioxide in amine solution, an equilibrium cell (autoclave) was used. According to the analysis of variance, explanation coefficient (R2) has a high value (R2=99.79%). The analysis of the results was conducted at the 95% confidence level in a block with 9 tests and Ludinig's definition as the response variable. The optimization results showed that the combination consisting of 24.811 ml of water, 188 ml of amine and 0.76 ml of ionic liquid had the best efficiency and, in this case, the maximum loading of 1.702 was obtained.

This work compares two conventional methods of adsorption with zeolites and azeotropic distillation for dehydration of industrial ethanol (95%) to produce 99.8% ethanol. To this end, both processes were simulated by a similar feed flowrate of 136kg/h and the suitable alternative was selected using techno-economical study. The results revealed that the adsorption process is more economical than azeotropic distillation for ethanol dehydration, as it possesses lower total investment cost and total product price. The amount of production at break-even point and the investment-return period for the adsorption process were equal to 1223800L and 12 months, respectively, and those for the azeotropic distillation were 2004905L and 25 months, respectively. In addition, the net annual profit, net present value and internal rate-of-return for adsorption process were equal to 413456$, 1181279% and 276%, respectively, which are much higher than those for the azeotropic distillation, equal to 263925$, 979370$ and 87%, respectively.

The purpose of this research is to gain a better understanding of the application of artificial intelligence in the oil industry and the background of research in the management and development of the oil and gas supply chain. The use of artificial intelligence in important topics was investigated in three upstream, Midstream and downstream sections. The results of the analysis showed essential artificial intelligence implementation in the oil and gas industry. In addition, various recommendations were provided for technology managers, policy makers, professionals and leaders in the oil and gas industry to ensure the successful implementation of AI. Finally, based on the analysis and review, recommendations and potential directions for the application of artificial Intelligence in the oil field development were presented.

By using satellite geographic data, the control point of the 20-inch Sabzevar-Mashhad pipeline, which is located after Imam Taghi pump station, has been identified. A pressure transmitter is installed at the entrance of Imam Taghi pump station. In this study, by using the results of hydraulic and energy modeling of the pipeline with related software, the necessary calculations for placing this transmitter as a basis for pressure control in the 20-inch Sabzevar-Mashhad line have been performed. Also, the current state of operation of the line and its difference to the optimal conditions have been investigated and the improvement potentials have been identified. In the current operation method, the pressure at the control point is performed by performing hydraulic calculations on the pipeline profile map, which has led to the existence of additional pressure at the control point due to the error in this method. With the proposed operation method of this line and by modifying the operating procedures in the form of continuous monitoring and control of the pressure at the control point of this part of the pipeline using a pressure transmitter in the Imam Taqi pump station, as an alternative solution for performing pressure calculations. According to the profile maps of the pipeline, it is possible to increase the capacity of this part of the pipeline up to 230 million liters per year with the same consumption power, and it is also possible to save up to 593000 m3 of natural gas worth 4 billion Rial, with the same transfer volume. (Equivalent to one month's energy consumption of Sabzevar pump station’s turbines). In addition to the above, using this method reduces the operating hours of Sabzevar turbo pumps by 574 hours per year.