درخت حوزه‌های تخصصی

Context/purpose: Factors affecting the technology, and innovation levels of crude oil treatment’s surface facilities, are numerous and extensive. Localization of surface facility as a high-tech Technology, which include oil and gas production and processing units, has always been one of the main issues, and technology management and innovation are essential priorities for these facilities. The purpose of this practical, heuristic, and quantitative research is to develop the studies and identify the current state of technology for crude oil treatment’s surface facility technology level in Iran and compare it with its global one. Methodology: Considering the wide range of factors that are used in evaluating technological and innovative capabilities with uncertainty. This research is applied in terms of purpose. Using a survey method and collecting qualitative data through a questionnaire, has led to descriptive results. This study by referring to experts and specialists, these factors according to their importance and priority in different classes of classification and then with statistical analysis, the relationship and correlation of these factors have been examined. For this purpose, 44 experts in oil and gas industry have been used for replying the qualitative questionnaire, then the fuzzy system model has been used to investigate the uncertainty in their answers and Quantitative results. Findings: The results of this study show that the most influential factors in surface facilities such as technological and innovative factors and managerial potential and human resources, etc. are not at an acceptable level compared to developed countries. Conclusion: The analysis of uncertainty between opinions of experts and factors investigated also confirms that attention to innovation and technology capacity and Technology capability and human resources in the National Iranian Oil Company should be increased.

Blockchain technology can bring opportunities, such as reducing transaction business costs and increasing transparency to the oil and gas industry. This model is adopted as a public maturity model in business processes, industry, and IS/IT organizations. This model is classified into five levels of emerging, identified, defined, operational, and mature to identify the applications of this technology toward flourishing and providing the ultimate solution to most of the organization's problems. Therefore, this qualitative research has been designed to identify maturity levels to provide a conceptual model of maturity levels of blockchain technology in grounded theory. First, the initial factors extracted through reviewing the research background; then, by conducting semi-structured interviews with 12 blockchain technology experts, the data were collected. It is noted that the interview was stopped as the duplicated and identical data, based on grounded theory research strategy The meanings and characteristics of the blockchain maturity model challenges presented in three stages of coding. The reliability of the interviews has confirmed by the reliability methods of Test-Retest and intra-subject agreement. The results of data analysis indicate that experts at the emerging level to primary educating and technology monitoring, at the identified level, to recognize the applications of this technology and regulation, at the defined level, to develop a roadmap, proof of concept, and Feasibility, At the operational level, the stakeholder resistance, and at the matured level, the entry new members, the consortium, and increasing attention to maturity requirements, is a spotlight with more frequency than other indicators and elements.

Todays, the issue of environmental instability and destructive environmental behavior can leave many irreparable effects and damage on future ecosystems and the lives of future generations. Method: This study aimed to present an environmental model of sustainable development in the Iranian gas industry. The present study used a qualitative with grounded theory method. In-depth interviews were conducted with 25 academic experts (professors of public administration and environmental engineering at universities in Mazandaran province) and the heads of the National Iranian Gas Company in five regions of Iran using the "rich information" sampling method. Results: The results indicated that the environmental model of sustainable development in the Iranian gas industry had 15 dimensions in terms of causal conditions. 1. Services, 2. Safety and health requirements, 3. Social responsibility, (context condition) 4. Education and learning, 5. Acculturalization, 6. Managers' attitude and awareness (intervening conditions) 7. Contractors, 8. Technical facilities and equipment, 9. Technology and technical operations (Strategy) 10. Medium and long term policies of the Ministry of Energy, 11. Continuous monitoring and evaluation of project progress, 12. Consumption management programs, 13. Pollutants management programs and consequences 14. Improved environmental performance of the gas company and 15. Moving towards sustainable development. Conclusion: Since the gas industry is one of the most polluting industries and the lack of attention to environmental issues in this huge industry will lead the Iranian environment to very serious and perhaps irreparable crises, using the environmental model of sustainable development in this industry seems highly important and necessary.

The challenge of environmental pollution and climate change have made countries to develop energy transition progress to move from non-renewable energy sources towards renewable ones. This paper seeks to consider energy transformation process and analyze its pattern in Iran by modeling through the ARDL bounding testing method over the period of 1993-2018. The empirical estimations depicted that in the long-run economic growth and inflation rate negatively impact on energy transformation of Iran, while increase in carbon dioxide emissions and appreciation of Iran’s national currency accelerate the energy transition process in Iran. Regarding the short-run relationship, the major results represented an evidence of positive impact of exchange rate on Iran’s energy transition process, while the other variables have negative coefficient. As a major concluding remark, for the case of Iran, the findings prove that the influential impacts of explanatory variables on energy transformation are stronger in long-run rather than in short-run. Therefore, the presence of efficient long-run energy planning is recommended.

The goal of this paper is to study the effect of Covid-19 outbreak on oil markets volatility.Covid-19 as a pandemic has a significant negative effect on global economy.  Alongside the global economy, stock markets responded to the outbreak immediately. The first case appeared in February 20 in Iran.  The outbreak has different implication for Iranian economy. Using daily data on return of oil companies registered at Tehran Stock Exchange (TSE), change in new cases integrated into the E-GARCH model as a proxy for the virus outbreak form February 20, 2020 until December 12, 2020, it applies an E-GARCH model to derive volatilities in index. To test the effect of Covid-19 outbreak on the volatilities in oil companies’ index, change in daily new cases integrated into the E-GARCH model as a proxy for the virus outbreak. The results show that, despite of fresh money pumped into the market and increase in market transactions and volume of trade, during the first phase of outbreak, Covid-19 has negatively affected returns of oil companies’ prices.

COVID affects various sectors of the economy, including energy. Measuring these effects on the energy sector can help policymakers adopt appropriate protectionist policies. In this paper, the effect of COVID shock on energy and non-energy sectors has been investigated using the DSGE model. For this purpose, two shocks of preferences and shocks of labor supply have been used. This article adds COVID to the model as well as adding energy to the New Keynesian model. The effect of COVID on the energy and non-energy sectors of the two channels of labor supply and consumer preferences has been investigated. The results of the study indicate that consumption, investment, and production in the energy sector have increased under the influence of both shocks. But consumption, investment and production in non-energy sector have declined. Prices and production costs have increased in both sectors. Also, the negative effects of the preferences shock were greater than the negative effects of the labor supply shock.