jeecpjournal

Sustainability reporting refers to non-financial reporting, while economic satisfaction deals with materialistic aspects of work life. This study sheds light on the relationship between economic satisfaction and sustainability reporting and the way to balance them in the petrochemical companies. In this regard, a descriptive-survey analysis was conducted. A total number of 86 employees in the accounting, economic, HSE, sales, quality and production departments of the petrochemical companies were selected as the research sample size and the questionnaires were distributed among them. The cluster sampling method was adopted and the data required for examining the seven hypotheses of this study were collected. Through using questionnaires, the reliability and validity of the questions were confirmed by Cronbach's alpha coefficient of 0.82 Research hypotheses were analyzed by using Pearson's test and Kolmogorov-Smirnov statistical test. The results showed that there are relationships between different aspects of the economic satisfaction and sustainability reporting within petrochemical companies

Projects are bound by contractual completion dates, and delays necessitate determining liability between parties. Given the varying outcomes of different delay analysis methodologies and the significant contractual implications, selecting an appropriate method is crucial. This study presents a model for selecting optimal delay analysis methods for engineering, procurement, construction, and installation projects in Iran's oil and gas industry. The model evaluates four common methodologies: "As-planned versus As-built," "Impacted As-Planned," "Collapsed As-Built," and "Windows Analysis," each suited to specific project characteristics. The research employs Fuzzy Delphi method for criteria validation and Analytic Hierarchy Process (AHP) for method selection across five project categories.

This study delves into the potential benefits of utilizing smart waterflooding as a method for improving oil recovery in carbonate reservoirs. Unlike traditional methods that rely on costly or hazardous chemicals, this approach employs the use of nanoporous carbon (NPC) and alumina/silica nanohybrid emulsion (ASNHE) to investigate their impact on interfacial tension (IFT) and wettability alteration on carbonate reservoir rocks from Asmari formation, as well as their combined synergistic effects on oil recovery. The research found that increasing the concentration of sulphate up to four times in the presence of other ions resulted in the most significant alteration of rock wettability towards water-wet. This suggests that smart waterflooding has the potential to be an effective method for improving oil recovery without the need for expensive or hazardous chemicals. Additionally, the study revealed that the use of ASNHE significantly reduced the oil/water IFT, resulting in a notable increase in oil recovery. Specifically, the use of seawater flooding resulted in a 42% increase in oil recovery, while SW4S+NPC and SW4S+ASNHE flooding resulted in an increase of 60% and 51%, respectively. Overall, the findings of this research paper suggest that the use of smart waterflooding, combined with NPC and ASNHE, has the potential to be a promising approach for improving oil recovery in carbonate reservoirs. By reducing the need for costly and hazardous chemicals, this method could provide a more sustainable and economically viable solution for the oil and gas industry

This paper examined the absorption of methyl orange dye by three graphite nitrides, graphene oxide, and silver carbonate nanocomposites. The absorption of methyl orange dye solution at 465 nm wavelength was checked by UV-VIS to determine the initial and final dye. The results showed that in different cases with increasing contact time, the amount of methyl orange absorbed per unit weight of the absorbent increased, and the absorption process was completed in different stages at different times. The maximum absorption efficiency was obtained at 15 ppm (equal to 92.5%).

In this study, the effects of initial dye concentration, adsorbent dosage, pH, and contact time on the adsorption process were investigated. The optimal conditions for maximum adsorption capacity were determined to be at pH 3, an adsorbent dosage of 0.02 g/L, an initial methyl orange concentration of 15 ppm, and an equilibrium contact time of 25 minutes. Under these conditions, the experimental data were best fitted by the pseudo-second-order kinetic model. For equilibrium studies, the Langmuir and Freundlich isotherm models were applied. The adsorption data showed a better fit with the Langmuir model, indicating monolayer adsorption of methyl orange on the adsorbent surface. The ternary nanocomposite GO / AC / CN was synthesized through a simple method of chemical precipitation in the environment. The mentioned nanocomposites underwent physical tests by X-ray diffraction (XRD), energy dispersive x-ray spectroscopy (EDX), Fourier transform infrared (FTIR), XRD device, and scanning electron microscope (SEM) to determine the structural properties, surface compositions, properties and morphology following synthesis

Hydrodesulfurization and hydrodenitrification in petroleum refinery are often associated with certain limitations of a huge energy consumption and restricted efficacy in removing total sulfur and nitrogen content. This study elucidates employing a selective liquid–liquid extraction process for desulfurization and denitrogenation of real gasoline using an efficient deep eutectic solvent (DES), obtained from methyltriphenylphosphonium bromide and para-toluensulfonic acid in a 3:7 molar ratio. The results show remarkable extraction efficiencies of 50.5% for the total sulfur compounds and 93.5% for the total nitrogen compounds in a single extraction step. After five extraction steps, these efficiencies were improved to 89.3% and 99.3%, respectively, using DES:gasoline volume ratio of 1:1 at 45 ^ºC. In solvent regeneration via vacuum evaporation, 86.5% of its performance was retained after three stages in extracting sulfur and 91.0% in extracting nitrogen compounds. From NMR analysis, detailed information was obtained regarding the dominant interactions and the extraction mechanism involving acid-base interaction and π– π bonding, dominant for pyridine, and C–H⋯O hydrogen bonding for thiophene, examined by using the DES with a synthetic gasoline. The results totally demonstrate the benefits of utilizing such ecofriendly solvents for purifying fuels.

The positive increment trend in the world of continuously production of low sulfur content fuel as a transportation feed is under progressing. This issue is feasible by oxidative desulfurization as one of the most promising approaches. To cope with the difficulties and limitations of hydrotreating units, integration with oxidative desulfurization can be a vital solution. This assay presented Fenton process as a treatment method and explain a comprehensive analysis of different parameters and characteristics of this method on a model fuel of toluene. So contains experimental and modeling results for optimizing the reaction parameters to Fe⁺²/H₂O₂=0.05 molar ratio, T=50 °C, agitation speed= 200 rpm, oil volume ratio=0.4 and reaction time of 40 min under acidic pH. Then mass transfer characteristics estimated and process progressing studied. Since the oxidation occurred under estimated conditions, 79.3% efficiency achieved in the first-order kinetics. Parameters optimized for toluene as a model fuel nutriment by DBT as a sulfur contamination and oxidized under hydrogen peroxide as the oxidizing agent and ferrous ions as the catalyst. Which temperature and oil volume fraction play the most important roles in the progressing of the reaction. Kinetics modeling and calculations of reaction time constant, mass transfer coefficient, droplet diameter and surface area investigated under optimized condition

This research investigates the relationship between income distribution (measured by the Gini coefficient) and environmental pollution, specifically CO2 emissions, in a panel of developing countries (2010-2022). The study acknowledges that economic growth, often leading to increased resource consumption and pollution, necessitates sustainable development planning. It reviews existing theories like the Environmental Kuznets Curve (EKC), which posits that pollution initially rises with income before falling due to structural and technological shifts. Employing panel data analysis, the researchers utilized fixed-effects models after rejecting the pooled and random-effects specifications via Chow and Hausman tests. The key finding is a statistically significant negative relationship between the Gini coefficient and environmental pollutants, meaning that reduced income inequality is associated with increased pollution. Conversely, a positive and significant relationship exists between per capita income and pollution, indicating that as these developing nations increase production and income, pollution levels rise. The conclusion suggests that for these developing economies, efforts to increase per capita income and reduce inequality (lower Gini) currently result in greater environmental degradation, likely due to production methods heavily reliant on polluting, energy-intensive industries. Policymakers are advised to focus on strategies that decouple income growth from pollution, such as moving beyond raw material processing toward higher-value, cleaner industries

This research focuses on analyzing and improving Organizational Project Management (OPM) at the Isfahan Oil Refinery Company by leveraging the Earned Value Management Maturity Model (EVM3). Earned Value Management (EVM) is highlighted as a practical methodology that unifies schedule, cost, and scope to accurately measure project progress, enabling timely decision-making and corrective actions.The primary objective was to enhance the OPM maturity level of the refinery using EVM3 criteria. The study first assessed the organization’s initial project management maturity via the OPM3 questionnaire to identify weaknesses. These weaknesses were then linked to the EVM3 standard criteria using an Interpretive Structural Model (ISM). Finally, the results were analyzed using the Matrice d’Impact Croisé Multiplication Appliquée à un Classement (MICMAC) method to determine the most critical factors.The findings revealed that the most important criteria requiring strengthening are increased attention to scheduling and the integration process across different knowledge areas and process groups. To address these deficiencies, major policy proposals include implementing public-level project management training for all team members, specialized training for project managers, and establishing external monitoring teams to oversee performance and ensure integration between processes and scheduling. These improvement stages (standardization, measurement, control, and improvement) were systematically pursued based on the EVM3 framework