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Industrial facilities that participate significantly in the production of many human needs and are useful in various activities. This study evaluates the impact of an electric power generation station, an oil refinery, and a brick factory on emissions and liquid waste that pollute soil and plants with lead and cadmium in the surrounding areas. Soil samples were taken in four dimensions, with a distance of 500 m between each sample. the results showed that the levels of heavy metals analyzed were high for both lead and cadmium, as the lead concentration ranged between 150.30–22.15, 240.40–30.20, and 250.33–21.91. The results indicated the total concentration of cadmium, which ranged between (0.50–2.20) and (0.9–2.51) and (0.55–1.66) mg·Cd·kg-1 soil for each of the electric power generation station, oil refinery, and brick factories, respectively. The highest value of the pollution factor was recorded at distance of 500 m, which amounted to 11.42, which is within the range of CF ˃ 6. This indicates very high pollution. As for the distance of 2000 m, it reached 3.65, which indicates high pollution. The highest value for the environmental risk index Er with lead in the soil of brick factories was at the distance of 500 and 1000 m, as it reached 57.10 and 41.10 respectively. It was with low limits to Moderately toxic to lead and moderate to highly toxic to cadmium. However, a mechanism must be developed to reduce the concentrations of these elements, which are enriched by these industrial facilities. [ABSTRACT FROM AUTHOR]

Petrochemical clusters are forms of industrialization that use compounds and polymers derived directly or indirectly from gas or crude oil for chemical applications. They pose a variety of short- and long-term risks to the environment and the people who live nearby. The aim of this study is to determine whether there is a correlation between the degree of perceived technological risk and the emotional value generated by the contemplation of the petrochemical industry landscape in order to try to establish strategic lines of action to mitigate the perception of risk and improve the emotional well-being of the population. This study uses manipulated pictures and a Public Participation Geographic Information System (PPGIS) survey to assess changes in perception and emotional response in residents in Teheran (Iran). Key findings show an insignificant relationship between technological risk and landscape value perception in both original and manipulated pictures. However, taking into account that, in general, in manipulated pictures, there is a more significant relationship, designing the landscape could help to mitigate the technological risk perception. This study contributes to the broader discussion about industrialization and its environmental and social consequences. It emphasizes the importance of considering public perception when planning and developing industrial areas, so as to balance industrial functionality and environmental and aesthetic considerations for long-term urban development. [ABSTRACT FROM AUTHOR]

Water supply challenges are caused by population growth, industrialization, as well as the scarcity of freshwater resources. Low‐grade waste heat‐driven seawater desalination technologies may improve the water‐energy nexus issues of desalination systems by different configurations. The data envelopment analysis is used to determine the best final decision to achieve a better comparison of different parameters. The optimal configuration of low‐grade waste heat driven seawater desalination is studied using flue gas waste heat in heat recovery boilers of an industrial oil refinery. Nine different types of multistage flash and multi‐effect distillation (MED) desalination plants have been considered. The results show that the multistage flash brine recirculation may produce more desalinated water while the multi‐effect distillation with three stages (3‐stage MED) has the best payback period. Using 3‐stage MED with a production of approximately 19,630 kg/h of water from 5.3 MW exhaust gas is more suitable for this design. Thus, the proposed strategy guides us toward the best decisions to configure low‐grade waste heat‐driven desalination plants for better design considering rigorous simulations for the plants. Moreover, this framework enables us to consider different criteria of technical, economic, and environmental issues for optimal configuration. [ABSTRACT FROM AUTHOR]

Petrochemical clusters are forms of industrialization that use compounds and polymers derived directly or indirectly from gas or crude oil for chemical applications. They pose a variety of short- and long-term risks to the environment and the people who live nearby. The aim of this study is to determine whether there is a correlation between the degree of perceived technological risk and the emotional value generated by the contemplation of the petrochemical industry landscape in order to try to establish strategic lines of action to mitigate the perception of risk and improve the emotional well-being of the population. This study uses manipulated pictures and a Public Participation Geographic Information System (PPGIS) survey to assess changes in perception and emotional response in residents in Teheran (Iran). Key findings show an insignificant relationship between technological risk and landscape value perception in both original and manipulated pictures. However, taking into account that, in general, in manipulated pictures, there is a more significant relationship, designing the landscape could help to mitigate the technological risk perception. This study contributes to the broader discussion about industrialization and its environmental and social consequences. It emphasizes the importance of considering public perception when planning and developing industrial areas, so as to balance industrial functionality and environmental and aesthetic considerations for long-term urban development.

Oil refineries play a crucial role in meeting global energy demands, and optimizing the efficiency of critical processes is vital for economic feasibility and environmental sustainability. Simulation is an essential tool for the optimization of valuable products. This work presents the rigorous simulation of a vacuum distillation unit (VDU) based on actual data from the vacuum distillation processes using Aspen HYSYS V10. The Peng–Robinson fluid package is used in this simulation, and an input assay with a standard density of 29 API_60 (879.8 kg/m3) is employed. True boiling point (TBP) assay data are the type that is being used. Methane, ethane, propane, i-Butane, n-Butane, i-Pentane, and n-Pentane are the components listed in the simulation. The research determines that achieving a yield capacity of 685 tons/h requires thirty stages in the atmospheric distillation unit and twelve stages in the vacuum distillation unit while operating at 420 °C temperature and 9 kPa pressure. Adjustments in the flash section temperature (FST) and steam flow rate (SFR) are proposed to enhance operational efficiency. Increasing the FST from 370 °C to 400 °C and adjusting SFR from 10 tons/h to 26 tons/h increases the Light Vacuum Gas Oil (LVGO) yield by 7.2% while elevating the FST from 400 °C to 430 °C and adjusting SFR from 10 tons/h to 26 tons/h enhances the High Vacuum Gas Oil (HVGO) yield by 7.4%. These optimization strategies offer a practical and effective approach for refineries to improve the economic benefits of vacuum distillation units. The implications of this research can act as a computational thinking exercise for higher education students considering the case study where only through changing the operational strategies can the yield be enhanced by 10.81% in the vacuum distillation unit of the oil refinery. [ABSTRACT FROM AUTHOR]

In this study, the rainwater qualities in eight sites located in the oil refinery region within Erbil province were evaluated for irrigation and drinking goals. Rainwater specimens (n = 24) were collected once a time on 21 October 2022. The index for quality of water (WQI), Index for irrigation water quality (IWQI), also Heavy Metals Pollution Indice (HPI) were used in the current study to evaluate the rainfall quality for drinking and irrigation purposes. Physical, and chemical parameters and some heavy metals were determined for assessing the quality of rainwater. The results showed that higher turbidity, pH, hardness, magnesium, potassium, and phosphate were recorded in the nearest sites around the polluted region which was considered higher than the guideline of the WHO organization for drinking uses. The value of the studied heavy metals including iron, manganese, lead, cobalt, arsenic, mercury, and cadmium was higher than the permissible value for drinking purposes in all sites. Based on the calculated WQI, 62.5% of sample sites are poor for drinking, and 37.5% of samples are good for drinking. The nearest sites are poor for drinking water in comparison to remote sites from oil refineries. The values of IWQI varied from 74.06 (low restriction) in site 2 to 55.10 (moderate restriction) in site 4 respectively. According to the HPI of the studied area are polluted and unsuitable for drinking purposes according to the HPI index. [ABSTRACT FROM AUTHOR]

This research presents the application of phytoremediation to remove ammonia from effluent possessing high ammonium content and alkalinity in one of the most complex refineries in Iran. The objective of this research was to find new methods to protect and preserve water resources. At first, the algae distribution was investigated. After purifying the samples, Chlorella Vulgaris was selected as resistant algae in the areas that experienced ammonia shocks. A 10-liter container and an airlift photobioreactor with similar laboratory conditions were developed to control biomass production. Experiments were conducted over 20 days and maximum biomass production occurred in the first 16-17 days. Cell density was expressed as dry cell weight in ammonia concentration from 10 mg/L to 500 mg/L. It was also observed that when the Nitrogen content of the culture medium was less than 50 mg/L, ammonia was completely removed in both methods. At a concentration of 10 mg/L, total ammonia in both methods was removed in the first week. At 50 mg/L to 100 mg/L concentrations, about 94% of ammonia was removed in the glass container and about 95% in the bioreactor. In these concentrations, with high ammonia content, the final cell density, and absorption power were significantly low and this was evident at 500 mg/L. Prevention of water evaporation and biomass settling, better control of some vital parameters including pH, temperature, light, and energy intensity, effective mass and heat transfer, and carbon dioxide concentration led to better efficiency of the airlift photobioreactor. A noteworthy point in this result was the extraordinary performance of Chlorella Vulgaris in removing toxic pollutants such as ammonia and possibly using it in the biological systems of sanitary, refineries, and petrochemicals.

Communications play an important role in the economic development of states and regions, in the development of new markets by connecting distributed areas of economic activity. The modern sanction economy is characterised by the change of economic partners and, accordingly, communication direc-tions. Thus, the vector of Arctic oil exports is shifting to the Asia-Pacific region, which increases the role of maritime communications for its transport. At the same time, from a practical point of view, it can be as-sumed that Arctic oil can become one of the resources of domestic refineries. The aim of the study was to consider the possibilities of providing the oldest oil refining complex of the Republic of Bashkortostan with Arctic oil and to build a basic scheme of spatial organisation of communications linking the economic space of Russia. Achievement of the set goal required the solution of the following tasks: to determine the role of Russia in the world oil exports on the basis of “bp Statistical Review of World Energy”; to conduct a comprehensive analysis of studies of domestic scientists on the issues of oil production, sales and refining, as well as promising Arctic offshore projects; and to consider the features of the oil refining industry of Russia and, in particular, the Republic of Bashkortostan. As a result of the research, the conclusions about the prospectivity of Arctic oil production and about the possibilities of its delivery to the refineries of the Republic of Bashkortostan have been obtained; for these purposes, a principal scheme of spatial organisation of communications linking oil deliveries from Arctic offshore fields to refineries in Ufa of the Republic of Bashkortostan has been developed.

This study aims a techno-economic analysis of a plant that produces methanol by hydrogenating carbon dioxide in the waste gas from an oil refinery using the electricity from floating photovoltaic power plant. First, carbon dioxide in the flue gas is captured in the carbon capture plant (CCP), and the hydrogen obtained from the seawater in the hydrogen plant (HP) with the help of photovoltaic energy is combined in the methanol plant (MPP) to produce methanol fuel. Using the Engineering Equation Solver (EES), a calculation was made of the amount of energy required and the number of solar panels or wind turbines that would be required to meet this demand, and then the environmental impact of the methanol plant was investigated. The Libyan Az-Zawiya oil refinery was considered for the case study due to its high solar potential, proximity to the sea and energy security. Systems' processes for CO 2 emissions, heat integration, energy efficiency, and thermo-economic performance were all taken into consideration. Renewable energy, synthetic fuel, and the methanol plant showed efficiencies of 0.21%, 0.5872%, and 0.1626%, respectively, and at the optimum density of the electrolyzer, 2.2 kA/m2, the efficiency of the electrolyzer was 0.782%. According to this study, all output parameters increase with the increase in the flue gas in the process, showing that flue gas is the most important input parameter affecting the outputs. The total cost of the plant for 30 years of operation was found to be $11.350 billion, with a production capacity of over 43.360 million tons of methanol, which equates to $412.9 per ton and $0.4129 per kg. Environmentally, the rate of captured emissions was about 4890 tons per day, and the mitigation rate was approximately 4513 tons per day. According to the results, the current plant is competitive with other clean synthetic fuel production plants. • High CO2 reduction potential. • Renewable hydrogen and methanol production. • On-demand hydrogen generation is provided with PEM electrolysis. • Hydrogen generation costs are competitive with other methods. [ABSTRACT FROM AUTHOR]

This research presents the application of phytoremediation to remove ammonia from effluent possessing high ammonium content and alkalinity in one of the most complex refineries in Iran. The objective of this research was to find new methods to protect and preserve water resources. At first, the algae distribution was investigated. After purifying the samples, Chlorella Vulgaris was selected as resistant algae in the areas that experienced ammonia shocks. A 10-liter container and an airlift photobioreactor with similar laboratory conditions were developed to control biomass production. Experiments were conducted over 20 days and maximum biomass production occurred in the first 16-17 days. Cell density was expressed as dry cell weight in ammonia concentration from 10 mg/L to 500 mg/L. It was also observed that when the Nitrogen content of the culture medium was less than 50 mg/L, ammonia was completely removed in both methods. At a concentration of 10 mg/L, total ammonia in both methods was removed in the first week. At 50 mg/L to 100 mg/L concentrations, about 94% of ammonia was removed in the glass container and about 95% in the bioreactor. In these concentrations, with high ammonia content, the final cell density, and absorption power were significantly low and this was evident at 500 mg/L. Prevention of water evaporation and biomass settling, better control of some vital parameters including pH, temperature, light, and energy intensity, effective mass and heat transfer, and carbon dioxide concentration led to better efficiency of the airlift photobioreactor. A noteworthy point in this result was the extraordinary performance of Chlorella Vulgaris in removing toxic pollutants such as ammonia and possibly using it in the biological systems of sanitary, refineries, and petrochemicals. [ABSTRACT FROM AUTHOR]

Unexpected damages or failures of steel pipes in refineries cause significant disruption to economic activity. While research has been conducted on the prevention of damage to steel pipes, no systematic methods or practical techniques for monitoring of vibrations to estimate the state of pipeline system have been reported. In this study, vibration safety evaluation model consisting of design - evaluation - control steps was developed to measure and control the vibration level during operation of the piping system of an oil refinery. The measurement location was designed by examining the structure of the pipe, and the vibration level measured at each location was compared with the allowable vibration level. Subsequently, two types of vibration reduction measures, namely, dynamic absorbers and viscous dampers, were introduced to reduce the vibration level. The effect of the application of the monitoring system was evaluated by comparing the vibration levels of the steel pipes before and after the application of the dynamic absorbers and viscous dampers. The vibrations of steel pipes in the oil refinery during operation decreased by over 50%. Upon applying the dynamic absorbers and viscous dampers, the responses of the frequency component also exhibited local and global reductions of approximately 50-80%. [ABSTRACT FROM AUTHOR]

Oil refineries play a crucial role in meeting global energy demands, and optimizing the efficiency of critical processes is vital for economic feasibility and environmental sustainability. Simulation is an essential tool for the optimization of valuable products. This work presents the rigorous simulation of a vacuum distillation unit (VDU) based on actual data from the vacuum distillation processes using Aspen HYSYS V10. The Peng–Robinson fluid package is used in this simulation, and an input assay with a standard density of 29 API_60 (879.8 kg/m3) is employed. True boiling point (TBP) assay data are the type that is being used. Methane, ethane, propane, i-Butane, n-Butane, i-Pentane, and n-Pentane are the components listed in the simulation. The research determines that achieving a yield capacity of 685 tons/h requires thirty stages in the atmospheric distillation unit and twelve stages in the vacuum distillation unit while operating at 420 °C temperature and 9 kPa pressure. Adjustments in the flash section temperature (FST) and steam flow rate (SFR) are proposed to enhance operational efficiency. Increasing the FST from 370 °C to 400 °C and adjusting SFR from 10 tons/h to 26 tons/h increases the Light Vacuum Gas Oil (LVGO) yield by 7.2% while elevating the FST from 400 °C to 430 °C and adjusting SFR from 10 tons/h to 26 tons/h enhances the High Vacuum Gas Oil (HVGO) yield by 7.4%. These optimization strategies offer a practical and effective approach for refineries to improve the economic benefits of vacuum distillation units. The implications of this research can act as a computational thinking exercise for higher education students considering the case study where only through changing the operational strategies can the yield be enhanced by 10.81% in the vacuum distillation unit of the oil refinery.

The paper proposes some approaches to building a model for predicting the probability of emergency situations at the enterprises of the oil refining complex in modern conditions. The approach is based on modeling using the binomial distribution. The initial data of the model are open data on the occurrence of emergencies on the territory of the Russian Federation for the period 2022-2023. [ABSTRACT FROM AUTHOR]

This study investigates the integration of soft sensors and deep learning in the oil-refinery industry to improve monitoring efficiency and predictive accuracy in complex industrial processes, particularly de-ethanization and debutanization. Soft sensor models were developed to estimate critical variables such as the C2 and C5 contents in liquefied petroleum gas (LPG) after distillation and the energy consumption of distillation columns. The refinery's LPG purification process relies on periodic sampling and laboratory analysis to maintain product specifications. The models were tested using data from actual refinery operations, addressing challenges such as scalability and handling dirty data. Two deep learning models, an artificial neural network (ANN) soft sensor model and an ensemble random forest regressor (RFR) model, were developed. This study emphasizes model interpretability and the potential for real-time updating or online learning. The study also proposes a comprehensive, iterative solution for predicting and optimizing component concentrations within a dual-column distillation system, highlighting its high applicability and potential for replication in similar industrial scenarios. [ABSTRACT FROM AUTHOR]

The article is devoted to the analysis of the changes that are taking place in the global oil refining industry under the influence of the current recession in the world economy. Despite the recovery of the global economy after the pandemic, nevertheless, the risks of an intensification of the geopolitical conflict have led to an unprecedentedly difficult situation in the energy markets. Newly emerging restrictions in international trade, including in the form of sanctions, have led to risks of unstable development of the oil refining industry. In turn, the uncertainty in the dynamics of world oil prices, as shown in the article, as well as the trends in the transition to a low-carbon economy, make it difficult to predict the development of the oil and gas industry, including oil refining. The serious changes observed in the structure of fuel production and consumption in the United States will have a significant impact on the development of the industry under study in the future, where there is already a shortage of refining capacity and unstable dynamics of prices for petroleum products. The introduction of additional capacities in the world oil refining, as noted in the article, will not have a significant positive impact on the oil product markets in the short term.

The purpose of this study is to investigate the potential use of solar energy within an oil refinery to reduce its fossil fuel consumption and greenhouse gas emissions. A validated ASPEN HYSYS model was used to investigate the products produced from heavy crude oil in the refinery. Using TRNSYS software, the proposed Parabolic Trough Collector (PTC)-based solar heating system paired with the boiler is modelled. Sensible thermal energy storage (TES) system is integrated into the refinery's process heating to handle the intermittent nature of solar energy. It was discovered that 463 m2 of the PTC area coupled with a 15000-L TES tank can result in a maximum life cycle cost savings of 21.046 thousand USD for an annual heat supply of 116,944 MWh to generate steam at a temperature of 200–220 °C. In the proposed hybrid heating system, the yearly solar fraction is determined to be 26.99% and the payback period is 8.77 years with the average solar irradiance of 900 W/m2. In addition, the system can yearly reduce greenhouse gas (GHG) emissions by about 34.045 tonnes of CO2 equivalents.

Nowadays, heavy metals are regarded as the most significant contaminants due to industrial activities and have an impact on their presence in milk. The presence of heavy metals in milk could have a serious negative impact on public health. The current study aims to determine the amount of various heavy metals (Pb, Cu, Co, Cd, Cr, Ni, Fe, and Zn) in raw Awassi ewe's milk collected from Kwashe industrial area, Duhok province, Kurdistan Region, Iraq. The sheep were grazed in Sulaivany plain contaminated by drains of industrial effluents of several crude oil refineries and other 200 different factories. Atomic absorption spectrophotometer was utilized to analyze the milk specimens after wet digestion. Results displayed that the heavy metals concentration was in the range of 3.64-4.27 mg/L for Pb, 0.59-1.13 mg/L for Cu, 0.01-0.09 mg/L for Co, 0.12-1.46 mg/L for Cd, 0.24-0.29mg/L for Cr, 0.89-0.99 mg/L for Ni, 0.89-0.94 mg/L for Fe and 3.99-6.13 mg/L for Zn. Statistical analyses showed that excusing Cr, and all other studied heavy metals concentrations were higher than the human-health safety recommended. Furthermore, among the heavy metals in the current study, the Zn was the highest mean value recorded (4.99 mg/L) and it exceeded the limited value (3.8 mg/L) by WHO/FAO, (1999). The permissible level of pb in milk is 0.05 mg/L, and the mean concentration of pb in the milk sample (3.99 mg/L) was significantly higher than the permissible value. Moreover, the mean value of Cd (0.75 mg/L), Cu (0.79 mg/L), Co (0.038 mg/L), Ni (0.948 mg/L), and Fe (0.91 mg/L) were above the limited value (0.01 mg/L) for Cd, 0.03 mg/l for Cu, (0.001-0.008) for Co, (0.1mg/L) for Ni and 0.1 for Fe, respectively. While the Cr concentration (0.27 mg/L) was lower than the recommended level (0.3 mg/L). Therefore, it was observed that the amount of heavy metals in the sheep milk utilized in this investigation possesses a health risk. Hence, it is always needful to persuade the pollutants in milk in the current area. [ABSTRACT FROM AUTHOR]

The article discusses the solution of the issue of processing carbon dioxide at the Moscow Refinery. The relevance of decarbonization to date is described. An overview of experience in various types of carbon dioxide processing is presented. A sketch of the technological line for processing carbon dioxide at the refinery has been developed. The economic feasibility of the project implementation has been investigated. [ABSTRACT FROM AUTHOR]

Nowadays, heavy metals are regarded as the most significant contaminants due to industrial activities and have an impact on their presence in milk. The presence of heavy metals in milk could have a serious negative impact on public health. The current study aims to determine the amount of various heavy metals (Pb, Cu, Co, Cd, Cr, Ni, Fe, and Zn) in raw Awassi ewe’s milk collected from Kwashe industrial area, Duhok province, Kurdistan Region, Iraq. The sheep were grazed in Sulaivany plain contaminated by drains of industrial effluents of several crude oil refineries and other 200 different factories. Atomic absorption spectrophotometer was utilized to analyze the milk specimens after wet digestion. Results displayed that the heavy metals concentration was in the range of 3.64-4.27 mg/L for Pb, 0.59-1.13 mg/L for Cu, 0.01-0.09 mg/L for Co, 0.12-1.46 mg/L for Cd, 0.24-0.29mg/L for Cr, 0.89-0.99 mg/L for Ni, 0.89-0.94 mg/L for Fe and 3.99-6.13 mg/L for Zn. Statistical analyses showed that excusing Cr, and all other studied heavy metals concentrations were higher than the human-health safety recommended. Furthermore, among the heavy metals in the current study, the Zn was the highest mean value recorded (4.99 mg/L) and it exceeded the limited value (3.8 mg/L) by WHO/FAO, (1999). The permissible level of pb in milk is 0.05 mg/L, and the mean concentration of pb in the milk sample (3.99 mg/L) was significantly higher than the permissible value. Moreover, the mean value of Cd (0.75 mg/L), Cu (0.79 mg/L), Co (0.038 mg/L), Ni (0.948 mg/L), and Fe (0.91 mg/L) were above the limited value (0.01 mg/L) for Cd, 0.03 mg/l for Cu, (0.001-0.008) for Co, (0.1mg/L) for Ni and 0.1 for Fe, respectively. While the Cr concentration (0.27 mg/L) was lower than the recommended level (0.3 mg/L). Therefore, it was observed that the amount of heavy metals in the sheep milk utilized in this investigation possesses a health risk. Hence, it is always needful to persuade the pollutants in milk in the current area.

The goal of production planning in a refinery is to produce as many valuable products as possible such as gasoline, jet fuel, diesel, etc., while meeting market demand and other constraints. Crude oil refining is one of the most complex chemical industries; Therefore, optimizing the production planning of an oil refinery is considered as one of the most difficult and challenging issues in this field. Due to rapid changes in industry-related technologies such as the construction of new catalysts, the design of more flexible process units, the flexibility of refineries is increasing rapidly. With the flexibility of refineries, their production planning requires a mathematical model that can be used to make the best decision at the right time to meet market demand at the lowest production cost. In this paper, the production planning of a flexible refinery is modeled using mathematical relationships between macro parameters such as product demand, production conditions, fixed and variable production costs, and inventory costs of petroleum products. To solve it, a hybrid algorithm of combining genetic algorithm and fix and optimize is proposed. The results with using of 63 simulated problems in small, medium and large dimensions show that the near-optimal solution obtained from the hybrid method deviates 0.23 and 0.12 percent of the exact solution of the problem on average in small and medium dimensions respectively. Also in large dimensions where it was not possible to calculate the exact answer by the computer, this algorithm can answer in an average of 87 seconds.

The construction of an oil refinery in Tuban Regency, a National Strategic Project (PSN), has been rejected by the Tuban community. This study aims to explain the efforts made by PT Pertamina and the government in resolving the land acquisition conflict regarding the construction of an oil refinery in Jenu, Tuban Regency. The researchers used the descriptive qualitative method, collected data using interviews and documentation, and analyzed the collected, reduced and presented data. The results showed that the parties resolved the conflict through litigation, mediation, and negotiation. The process resulted in the provision of employment for locals, scholarships for outstanding students in five affected villages, development of fishermen's cooperatives in Mentoso Village, food and social assistance for farmers, opportunities for locals to continue working on the acquired land before the construction, and several Corporate Social Responsibility (CSR) programs around the premises. After the resolution, out of 1219 parcels, 1222 were acquired with a total land area of 814 hectares from 961 owners. This research only focuses on the agreements between the parties. Further studies are advised to observe PT Pertamina's and the community's consistency in adhering to the agreements.

Wastewater treatment unit in an oil refinery is one of the main emission sources of volatile organic compounds and exposure to these pollutants has major negative impacts on refinery staff and residents of adjacent areas. The purpose of this study is to investigate the concentration of volatile organic compounds in refinery effluents and to estimate the emission of these compounds into the air. Concentration and pollution load of volatile organic compounds in operating units and basins of treatment unit wastewater were analyzed using gas chromatography and emission estimation of them was done using the Rank 2 and Rank 3 of the US Environmental Protection Agency. The pollution received by wastewater plant was 1095 ton/y of five components: benzene, toluene, xylene, ethyl benzene and hexane, while 5379 ton/y for the eleven pollutants including previous five components plus pentane, heptane, methyl cyclohexane, 1-2-4 tri-methylbenzene, 1-3-5 tri-methylbenzene and dodecane. Based on refinery feed, for each ton of crude oil processed, 187 g of the total 5 compounds and 692 g of 11 compounds are produced from operational units; but only 78% of the 11 compounds and 60% of the 5 compounds could reach the treatment unit, which indicates the emission of pollutants in the transfer path. Overall, for each ton of processed crude oil, 48.5 g of 5 compounds and 241.6 g of 11 compounds from effluent treatment ponds are emitted to the atmosphere. Identifying the sources of volatile organic compounds production is one of the ways to reduce the pollution load entering the treatment unit and thus reduces the emission from the refinery. Based on these results, refineries could apply proper strategies for emission decrease. This research has been done for a refinery with ten megatons capacity per year and medium complexity, which could be used by any analogous refinery in the world.

To achieve the ever-stringent sustainable goals, this paper aims to synthesize a heat integrated hydrogen regeneration network (HIHRN) using a graph-theoretic-based sequential method. Firstly, the optimal and near-optimal structures for a hydrogen regeneration networks (HRN) are determined using P-graph model with consideration of both impurity and pressure constraints. These networks are then used as inputs in P-HENS software to generate a list of optimal and near-optimal heat exchanger network (HEN) structures. An eight source and sink problem is used to demonstrate the effectiveness of the proposed method. There are 199,677 feasible HIHRN structures identified, while the 6 near-optimal solutions which are within 0.05% tolerance of the optimal network cost (i.e., less than 33.04 M$/y) are presented together with the top four HEN designs that can offer comparable costs (∼115,500 $/y). In addition, the impacts of pressure swing adsorber (PSA) pressure drop consideration and minimum temperature difference on the optimal design are also presented. [Display omitted] • A sequential model is developed to determine the optimal hydrogen network. • P-graph model for HIHRN synthesis followed by P-HENS model for HEN synthesis. • Costs for both hydrogen and heat exchanger networks are minimized. • More than 100,000 feasible HIHRN structures are identified via this approach. • Effects of pressure drop and minimum temperature difference on HIHRN are studied. [ABSTRACT FROM AUTHOR]

Reducing crude oil quality affects the refinery capacity, quality for downstream units, and overall economics. The thermoeconomic model of a refinery can show that the effects of faults generally propagate through the whole process and affect the behavior of several components, resulting in induced malfunction in typical components. This study aims to estimate the primary source of inefficiency and, therefore, the main reason for the increase in irreversibility and entering feed into the refinery due to changes in some operating conditions. Operating conditions in 2013 and 2023 are defined as base mode and operating mode, respectively. The results of exergy cost analysis show that Liquefied Petroleum Gases (LPG) unit and H2S removal unit have the greatest impact on reducing the overall performance of the refinery in 2023, while this unit is one of the units with the least exergy destruction in the base year. The share of the environment and fuel oil unit, LPG unit, H2S removal unit, and kerosene treating unit in increasing the irreversibility of the utility unit is 4,898.18, 1200.67, 935.15, 642.73, and 624.45 GJ/day, respectively. The share of the Crude Distillation Unit (CDU) in the reduction of the irreversibility of the utility unit is 7,316.67. The results show that the total resource consumption has increased by 168 MJ/day. Therefore, in order to reduce resource consumption in 2030 (operational mode), the impact of LPG and H2S removal units on utility irreversibility should be controlled. [ABSTRACT FROM AUTHOR]

This study determines and presents the capital and operating costs imposed by the use of CO2 capture technologies in the refining and petrochemical sectors. Depending on the refining process and the CO2 capture method, CO2 emissions costs of EUR 30 to 40 per ton of CO2 can be avoided. Advanced low-temperature CO2 capture technologies for upgrading oxyfuel reformers may not provide any significant long-term and short-term benefits compared to conventional technologies. For this reason, an analysis was performed to estimate the CO2 reduction potential for the oil and gas industries using short- and long-term ST/MT technologies, was arriving at a reduction potential of about 0.5–1 Gt/yr. The low cost of CO2 reduction is a result of the good integration of CO2 capture into the oil production process. The results show that advanced gasoline fraction recovery with integrated CO2 capture can reduce the cost of producing petroleum products and reduce CO2 emissions, while partial CO2 capture has comparative advantages in some cases. [ABSTRACT FROM AUTHOR]

This paper aims to contribute to the contemporary and imperative research on the performance and productivity growth of the oil industry. Among cutting edge methods, frontier analysis is a successful approach that has been widely used to assess the efficiency and productivity of entities with multiple resources and multiple outputs. This study first develops a unique framework based upon data envelopment analysis (DEA) to measure efficiency and productivity in the way that it tackles the uncertainty in data and undesirable outputs and, in turn, provides useful information to decision-makers. An adaptive robust optimisation is utilised to combat uncertain data whose distributions are unknown and consider the nexus between the level of conservatism and decision-makers' risk preference. The key advantage of the proposed robust DEA approach is that the results remain relatively unchanged when uncertain conditions exist in the problem. An empirical study on the oil refinery is presented in situations of data uncertainty along with considering CO2 emissions as the undesirable output to conduct environmental efficiency and productivity analysis of the 25 countries over the period 2000–2018. The empirical results obtained from the proposed approach give some imperative implications. First, results show that the price of robustness does not affect identically for varying technologies when assessing productivity in a global oil market, and the USA oil industry is observed as the highest productivity growth in all cases confirming its efforts for the rapid rise in oil extraction and production at low costs. There may be practical lessons for other nations to learn from the USA oil industry to improve productivity. Findings also support a considerable regress during the 2008 Global Financial Crisis in the oil industry compared to the rest of the periods in question, and due to monetary and fiscal stimulus, there is a sharp productivity growth from 2009 to 2011. The other implication that can be drawn is that the GDP growth rate and technology innovation can more effectively improve the productivity of the oil industry across the globe. [ABSTRACT FROM AUTHOR]

Background: The contamination of soil and water with hydrocarbonic pollutants is a major environmental problem. Soil water repellency will interrupt water infiltration, and may decline plant growth and potentially trigger soil erosion. The aim of this study was to investigate the effect of soil and water contamination by oil on soil water repellency, where the soil has been oil-contaminated due to mismanagement of the lands surrounding the refineries, and many of the trees in the area have dried up. Methods: Water drop penetration time test (WDPT) was performed on contaminated soils. To investigate the effect of the surface water contamination on soil, handmade soil samples were collected and successive dry/wet cycles were applied to them by contaminated and non-contaminated waters. Subsequently, soil water repellency tests, including molarity of ethanol droplet (MED), water and ethanol sorptivity were performed on soil samples. The soils were passed through a 2 mm sieve after being air-dried and the soil texture was determined by pipette method. The SWR was measured by WDPT in the area contaminated with petroleum compounds and 7 to 10 replicates were assigned to each location. In order to determine the effect of water contamination on the area soil and to measure water repellency in the laboratory, disturbed soil samples (36 samples) with a bulk density equal to 80% of the reference bulk density were prepared. Results: The results showed that soil oil-contamination causes water repellency, increased WDPT, a significant increase in water repellency index, and a significant decrease in cosθ at the level of 0.001. The effect of water contamination on the indices and cosθ were statistically significant at the 0.001 and 1% levels, respectively. Therefore, contaminated water increased the water repellency of the soil after successive dry/wet cycles. Conclusion: Significant positive correlations between organic and water repellency indices and significant negative correlations between cosθ and organic indices indicate the effect of oil-contamination of water and soil on creating and increasing the intensity of soil water repellency.

This study investigates the integration of soft sensors and deep learning in the oil-refinery industry to improve monitoring efficiency and predictive accuracy in complex industrial processes, particularly de-ethanization and debutanization. Soft sensor models were developed to estimate critical variables such as the C2 and C5 contents in liquefied petroleum gas (LPG) after distillation and the energy consumption of distillation columns. The refinery’s LPG purification process relies on periodic sampling and laboratory analysis to maintain product specifications. The models were tested using data from actual refinery operations, addressing challenges such as scalability and handling dirty data. Two deep learning models, an artificial neural network (ANN) soft sensor model and an ensemble random forest regressor (RFR) model, were developed. This study emphasizes model interpretability and the potential for real-time updating or online learning. The study also proposes a comprehensive, iterative solution for predicting and optimizing component concentrations within a dual-column distillation system, highlighting its high applicability and potential for replication in similar industrial scenarios.

Introduction: Total antioxidant capacity (TAC) is an important marker to be measured to explore the effect of oil fume on oral tissue. This study examined the effect of longtime exposure to oil fume on oral and periodontal tissue. Materials and Methods: A total of 52 participants consisted of four groups of 13 participants each. Oral examination and periodontal indices were taken. TAC was analyzed. Results: The study groups showed highly significant differences in plaque, gingival index, and clinical attachment level (P 0.05) in comparison to the control. Oral lesions including ulcerations and white and red patches were absent in workers. Conclusion: Total antioxidant capacity is an important biomarker in the diagnosis of oral and periodontal diseases.

This research presents an evaluation system and model for optimizing phytoremediation on petroleum and heavy metal contaminated soils to simplify the methods, reduce the costs, and minimize the use of long-term tests in the phytoremediation process. The proposed evaluation system consists of Structural Equation Modeling (SEM) and the Analytic network process (ANP) and includes three criteria and twelve sub-criteria. The calculated weights indicated that plant species and soil texture were the most influential factors in phytoremediation, with loading factors of 0.910 and 0.876, respectively. Seven dominant plants from the study area were used as alternative plants for phytoremediation, and the highest weight of ranking alternative (0.201) suggested that Medicago sativa L (Alfalfa) could be a suitable plant for this purpose and that the suitable texture of the soil would be sandy clay loam for the phytoremediation measure. Sensitivity analysis confirmed that the combination of the ANP and SEM in this course was impartial and attainable. The application of structural equation modeling and multi-criteria decision methods were found to be effective since they could help diagnose not only the effects of soil texture on petroleum hydrocarbons reduction but also the impacts of selected plant species on heavy metals reduction as factors in phytoremediation inside the study area. Therefore, it was concluded that combined application of these two methods would provide an effective approach in monitoring contaminated sites for decision makers. [ABSTRACT FROM AUTHOR]

A seismic fragility assessment methodology is presented for equipment-supporting reinforced concrete and steel buildings that are typically encountered in oil refineries. Using a suite of hazard-consistent ground motions and reduced-order models, incremental dynamic analysis is performed to obtain the seismic demand of the structural systems examined. Appropriate drift- and floor acceleration-sensitive failure modes are considered to define the limit state capacities of the supporting structure and the nested non-structural process equipment. Special care is exercised on the demand and capacity representation of structural and non-structural components, offering a transparent roadmap for undertaking analytical fragility assessment for equipment-supporting buildings typical to an oil refinery. The findings and the proposed methodology can be exploited by designers and facility managers for mitigating the risk of failure prior to the occurrence of an earthquake event, for designing the pertinent structures and their non-structural components by means of a risk-aware performance-based methodology, or as feed data in early warning systems. [ABSTRACT FROM AUTHOR]

The seismic fragility is assessed for typical high-rise stacks encountered in oil refineries, namely process towers, chimneys, and flares. Models of varying complexity were developed for the structures of interest, attempting to balance computational complexity and accuracy regarding the structural dynamic and strength properties. The models were utilized along with a set of hazard-consistent ground motions for evaluating the seismic demands through incremental dynamic analysis. Demand/capacity-related uncertainties were explicitly accounted for in the proposed framework. Damage states were defined for each of the examined structure considering characteristic serviceability and ultimate limit states. Τhe proposed resource-efficient roadmap for the analytical seismic fragility assessment of typical high-rise stacks, as well as the findings of the presented research work are available to be exploited in seismic risk assessment studies of oil refineries. [ABSTRACT FROM AUTHOR]

In the present work, the compression system of combine 2 of the "Hermanos Díaz" Refinery was evaluated using the Aspen Hysys V 8.8 Process Simulator. Three (3) variants of technological modification of the current Compression System were simulated with the aim of reducing power consumption and increasing the flow of Liquefied Petroleum Gas (LPG) at the top of the Stabilizing Tower T-104. It was determined as a technological modification to implement the Compression System in three stages with intercooling up to 850 kPa. With this system, energy savings of 6,15% were achieved and energy consumption decreased in kW / h by 4%. The LPG flow through the top of the T-104 was increased by 76,71% and the LPG yield in the Crude Blend 30 by 2,4%. The quality indices of the LPG obtained were improved, being within the parameters regulated for its commercialization. [ABSTRACT FROM AUTHOR]

As it is known, one of the initial and important stages in the creation of optimal control systems of oil refining technological units is the development of a mathematical model that can adequately record the processes at any time. The operative and accurate measurement of all input and output variables is one of the important conditions in the development of a mathematical model of technological processes. Studies have shown that the lack of information about the state of complex oil refining processes in many cases reduces their efficiency and effectiveness. On the other hand, the wide range of both quality and quantity of raw materials for processing makes their efficiency even more unsatisfactory. Under these conditions, it is difficult to develop mathematical models that can adequately describes the static modes of technological processes; the development of mathematical models is relevant both in scientific and practical terms. A priori information required on input and output variables during normal operation of the technological complex in order to implement mathematical models identification for the vacuum block of the oil refining process unit is provided in the article. On the basis of this static information, mathematical dependencies were constructed between the variables characterizing the static mode of technological processes and the adequacy of the obtained mathematical models was confirmed through the statistical apparatus. In order to solve the problems, the research was determined to be able adequately describe the current technological conditions, which can quickly adapt to current technological situations and ensure the production of oil fractions with relatively stable quality, regardless of the disturbing effects of the system. [ABSTRACT FROM AUTHOR]

The oil production and refining processes are directly dependent on historical and political processes. The world wars of the 20th century were catalysts for the transformation of oil as the main energy resource. The capacity of enterprises in the oil refining industry is important for the development of politics and economies of states because oil products are one of the most sought after goods. Addressing the problem of capacity development for oil resource processing at Russian refineries is a relevant topic to build an effective policy for the distribution of global oil resources. The purpose of this paper is to identify the distribution trends in oil resource refining capacities in Russia. The developed method allows us to determine the dynamics of refining capacities in all regions of the country, establish the contributions of refinery groups to regional and countrywide capacities, and identify trends in the capacity concentrations of refineries and regions. The timeline that was used for the research period is 2009–2019. The results of the study showed increases in processing capacity in all federal districts. By 2019, the Volga Federal District provided the largest annual contribution to the countrywide capacity. The Southern Federal District moved up from the fourth to second position. It was followed by the Siberian, Central, Northwestern, Far Eastern, and Ural Federal Districts. The trends in the distribution capacities across the country indicate the prospect for building additional refineries in the Asian part of Russia. Rosneft was the leader, while Gazprom retained the second position. Independent refiners took the third position in terms of total refinery capacity, with Lukoil in the fourth position. Furthermore, Surgut-NG, Tatneft, Mini refineries, and NOVATEK followed the top four positions. The changes in concentration ratios indicated the increased monopolization of the refinery market. A decisive contribution to this process was due to by Rosneft’s takeover of TNK-BP and Bashneft’s capacities. The changes in regional concentrations were influenced by the changes in processing capacities of the Volga Federal District.

Nanoarchitectural strategy for design of highly active catalysts with CoMoS encased in 50-nm diameter aluminosilicate tubes (halloysite nanoclay) serving as an abundantly available natural support was proposed. This encapsulation conception implies the protection of active metal sulfides from aggregation, coking and leaching. Synthesized nanocatalytic system was investigated by TEM, XPS, N 2 adsorption, hydrogen temperature programmed reduction and desorption of ammonia techniques. Using of Mo-heteropolyacid anionic precursor complex (ca. 10 wt%) possess selective loading of molybdenum oxide into 15-nm diameter inner cavity of the nanotubes (covered with positively charged alumina) by an electrostatic attraction. Subsequent sulfidation results in formation of CoMoS particulate core inside the aluminosilicate shell. These tubular nanoreactors were pelletized using alumina binder to produce a mechanically strong mesoporous catalyst efficient for hydrotreatment of diesel petroleum fraction to clean fuels. [Display omitted] • New strategy for selective loading of CoMoS particles inside nanotubes was proposed. • Anionic Mo species are driven into the nanotubes' electrostatically attractive cavity. • Proposed core-shell Co-Mo catalysts act as nanoreactors for efficient sulfur removal. • Mesoporous nanotubes supported catalysts are 15% more active than alumina-based. [ABSTRACT FROM AUTHOR]

A flare stack is an indispensable device in the oil and gas industry for allowing the safe combustion of gases into the atmosphere, especially during emergencies. However, it is not ideal for the routine disposal of gaseous waste, as it is subject to meteorological influences and poor operational control. In addition, it can be affected by toxic currents and thus pose a potential risk of odors; in view of this, an assessment must be made of the implications of burning on the environment and health. Atmospheric dispersion modelling has proved to be a very useful tool for this purpose. In light of this, an attempt has been made in this work to evaluate the impact of H2S on the well-being (odor perception) of the community in the surrounding area of an oil refinery, where the temporary burning of rich gas in H2S occurs in a chemical flare, and operational factors have an influence on atmospheric dispersion. The odor assessment was carried out with the aid of AERMOD which was adapted to estimate the maximum odor concentration for very short periods by means of peak-to-mean ratios. The results showed that H2S detection can reach a probability rate of 42% at 3.5 km distance from the flare (in a time interval of 5 s) with a relatively high degree of annoyance (3.0 AU). However, some operational procedures can reduce the probability of odor detection to 29% and the degree of annoyance to 2.6 AU. [ABSTRACT FROM AUTHOR]

The use of treated effluent as a sustainable, reliable, and accessible source of water supply is a critical factor influencing water use in industrial sectors like petroleum refineries. The purpose of this study is to document the life cycle and economic assessment of an integrated ultrafiltration, ion exchange, and multioxidant (UF-IXMB-MOX) treatment system in the recycling of refinery effluent. The effluent was used to supply makeup water in cooling towers at the Kermanshah oil refinery, Iran from April to December 2018. For the life cycle analysis, eight environmental indicators, including ozone-depleting potential (ODP), global warming (GW), greenhouse gases (GHG), acidification potential (AP), eutrophication potential (EP), health effects (HE), environmental toxicity potential (ETP) and photochemical oxidation potential (POCP) were considered for four groups influencing the selection of a treatment method, including electricity consumption (EC), raw materials, condensed effluent (concentrate) and construction. Results of the economic analysis show that the initial investment for the launch of this treatment system was estimated at $255,750. Considering the fixed and variable annual costs, the cost of regenerating treated effluent was estimated at $0.24/m3 of effluent, with the cost of chemicals contributing the most to annual costs. This scenario, with consumption of 0.08kWh/m3, had the lowest energy consumption compared to other similar membrane-based methods. The electricity consumption in the formation of GHGs, GW, POCP, and health effects, and the role of condensed effluent produced in creating ETP in aquatic and terrestrial environments, had the highest environmental impact among the eight environmental indicators. Overall, results suggest that focusing on renewable energy and the use of chemicals with minimal economic and environmental impact can increase the efficiency of this process. [Display omitted] [ABSTRACT FROM AUTHOR]

Background:The spread of urbanization and industrialization, as well as changes in lifestyle and consumption patterns in recent years, especially in developing countries, has led to the production of huge volumes of pollution in urban and industrial areas. How to plan and manage them is one of the issues and problems in the world today. And if the environment is not taken into account at the same time as the industrialization of a society, not only will economic development not be achieved, but there will be many problems so that sometimes the long-term benefits of an industry are spent on compensation. Methods: The isa descriptive-analyticalstudy. Various steps were taken, including the results of statistical analysis, Delphi questionnaires, analysis of validity and reliability of the research, and extraction of influential factors affecting the performance of the ROP unit of Abadan Oil Refinery in 2019 until 2020. Finally, the results of weighting and ranking of effective strategic parameters in decision-making, decision-making and policy-making processes of different items including factors (components), criteria, sub-criteria, and strategic plans are presented. Using Expert Choice 2000 software, we weighed the parameters, and Cronbach's alpha was determined to be 0.932. Results: The results of weighting and ranking of effective strategic parameters in the decision-making process and policymaking of various items are presented.Finally, the component of human environment around the refinery with a weight priority of 0.288 in the first rank, the component of natural environment, the HSE component of the refinery with a weight of 0.244 in the second rank, and the components of technical characteristics and conditions of the refinery with a weight of 0.112 were in the third place. Conclusion:In this case study, we found thatthe greatest need for management was specific to the human environment, such as land use and development plans around the refinery, and the state of air and soil pollution and water resources.