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14. -Primary energy consumption by region, Baseline Scenario

14. -Primary energy consumption by region, Baseline Scenario

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THE WORLD ECONOMY: Global outlook overview - Volume 251 - Barry Naisbitt, Janine Boshoff, Ian Hurst, Amit Kara, Cyrille Lenoel, Iana Liadze, Xuxin Mao, Craig Thamotheram, Kemar Whyte
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Land-based delivery platform technology for artillery weapons is a comprehensive technology to study the adaptability of artillery weapon and land-based delivery platform, and its function is to is to provide transportation and loading platform for artillery and realize tactical mobility and battle mobility of artillery. This paper reviews the impo...
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In this chapter, we provide a list of what we view as particularly important open problems and research directions. For instance, axiomatic characterisations of many ABC rules are missing, the compatibility of committee monotonicity and proportionality is not known, and many questions regarding the core property remain unanswered.

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... Due to this concern, the new energy resources need to be exploited. The Global and Russian Energy Outlook to 2040 suggests that, by 2040 the world oil demand will increase from the growing economies like India, and natural gas is the rapidly rising fossil fuel, which is growing at the rate of 1.6 % per year [2]. ...
... This portion presents the χ 2 test for the validation of multiple linear regression models for CO 2 figure 19 (c) has the best correlation since all points are closely clustered around the normal or regression line. So, based on the χ 2 test validation it can be concluded that, the oil production from the Eagle ford reservoir using CO 2flooding is the best regression model. ...
... Below we will include projections received within the baseline scenario; for alternative scenarios of the world's energy development (there is a varying focus each year, so that thematically scenarios differ respectively), refer to the outlooks published throughout 2012-2014 (Grigoriev et al. 2012(Grigoriev et al. , 2013. ...
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Currently, there is an active discussion around hydrocarbons as a source of energy. But taking into account the fact that at the moment the continuation of their use is not in doubt, it is important to improve the efficiency of energy companies - environmental, economic, etc. One way to do this is through the digital transformation of the enterprise. This article focuses on the use of digital twins in the oil and gas industry in order to improve the economic and environmental efficiency of oil production. The algorithm of application of the digital twin in the oil and gas enterprise is considered, its architecture is built taking into account the specifics of the task. The place of the digital twin in the models of technological and business processes is defined. Predictive analytics of equipment repairs, reconstruction, maintenance, modeling, remote maintenance, reduction of human factor influence allows to increase efficiency and safety of oil and gas production. The digital twin will make it possible to simulate various failure scenarios in operation, environmental impact, wear rate of parts, etc. Further research is expected to consider expanding the use of digital twins, both in oil production and in related areas, including hybrid scenarios for power systems.KeywordsOil and gas productionHydrocarbonsDigital twinProduction efficiency
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