scholarly journals COMPARATIVE ANALYSIS OF OIL PROCESSING DEPTH BY NELSON INDEX IN DIFFERENT COUNTRIES

2019 ◽  
pp. 77-81
Author(s):  
E. A. Mishukov ◽  
Yu. N. Linnik
Keyword(s):  
Comparative Analysis ◽  
Oil Refinery ◽  
Refining Industry ◽  
Oil Refining ◽  
Oil Refineries ◽  
Oil Processing ◽  
The Past ◽  
Processing Depth ◽  
Petrochemical Products

The current challenges of the domestic oil refining industry have been identified. The significance of the latest requirements for the quality of petrochemical products has been highlighted, as well as the need for technical and technological updating of oil refineries has been described. The use of the Nelson index as an assessment of the quality of petrochemical products at refineries has been considered. The formulas of the complexity factor and the Nelson index have been described. The principles and mechanisms of calculating the Nelson index for a conditional oil refinery have been disclosed. The statistics on the most modern oil refineries in Russia, using the Nelson index, has been presented. An analysis and comparison of changes by country within the framework of this indicator over the past years have been compiled.

scholarly journals An Empirical Test Of Politically-Motivated Income Smoothing In The Oil Refining Industry

2011 ◽  
Vol 10 (1) ◽  
pp. 92 ◽  
Author(s):  
Richard H. Fern ◽  
Betty C. Brown ◽  
Steven W. Dickey
Keyword(s):  
Empirical Test ◽  
Income Smoothing ◽  
Refining Industry ◽  
Oil Refining ◽  
The Past ◽  
Accounting Choices ◽  
Political Motivation ◽  
Reported Earnings

<span>This paper reports the results of a study of income smoothing in the oil refining industry for years 1971 through 1989. Evidence of a political motivation to practice such smoothing behavior is also reported. The methodology follows closely that of Ronen and Sadan (1981) which found strong smoothing behavior for oil firms in the 1953 to 1972 period. Two types of smoothing behavior were examined classificatory and intertemporal. Based on the analysis, oil firms were found to have a strong political motivation to manage reported earnings. There was no evidence of significant classificatory smoothing behavior by the 26 firms in the study. However, there was significant intertemporal smoothing behavior suggested, although to a less degree than that suggested by Ronen and Sadan. This reduction in smoothing behavior seems to indicate that over the past 20 years standard setters have been somewhat successful in reducing purely arbitrary accounting choices.</span>

تقييم واقع صناعة تصفية النفط في العراق

2021 ◽  
Vol 2020 (67) ◽  
pp. 154-184
Author(s):  
دانية اياد جاسم ◽  
أ. د . فلاح خلف علي
Keyword(s):  
Crude Oil ◽  
Electrical Current ◽  
Oil Products ◽  
Refining Industry ◽  
Oil Refining ◽  
High Quality ◽  
Investment Projects ◽  
Oil Refineries ◽  
Self Sufficiency ◽  
Strong Sector

The oil refining industry in Iraq is one of the industries of strategic importance, and what these industries have been subjected to destruction, obsolescence and neglect in a way that led to the deterioration of oil products in quantity and quality, and in a manner that is not commensurate with Iraq's capabilities in the field of daily crude oil production, as well as its incompatibility with laws and standards. In addition to the inability of these industries to achieve self-sufficiency and resort to closing the gap through imports. The study assumes that rebuilding the oil refineries in Iraq on modern foundations commensurate with international environmental laws and standards, will contribute to achieving self-sufficiency in high-quality oil products and open new horizons for the refining industry. The study reached several conclusions, the most important of which are the most important reasons for the decline in the production of refineries in Iraq, failure to implement investment projects for the oil refineries sector, reliance on old methods of liquidation, obsolescence of treatment units, neglect of maintenance and maintenance operations, and continuous stops due to the interruption of electrical current, and sabotage of some pipelines that transport crude oil to the refineries. The researcher recommended that the existence of a strong sector of refineries in Iraq capable of securing energy sources and achieving self-sufficiency, in addition to its ability to compete, that achieving this goal requires working on building new and modern refineries and rehabilitating old refineries to increase production capacities and obtain high-quality oil products to Iraq can compete in the global

scholarly journals Quality Prediction Modeling of Palm Oil Refining Plant in Malaysia Using Artificial Neural Network Models

2018 ◽  
Vol 7 (3.26) ◽  
pp. 19
Author(s):  
Nurul Sulaiha Sulaiman ◽  
Khairiyah Mohd-Yusof ◽  
Asngari Mohd-Saion
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Palm Oil ◽  
Oil Refinery ◽  
Oil Refining ◽  
Great Loss ◽  
Refining Plant ◽  
Artificial Neural ◽  
Refined Palm Oil

Malaysia is currently one of the biggest producers and exporters of palm oil and palm oil products. In the growth of palm oil industry in Malaysia, quality of the refined oil is a major concern where off-specification products will be rejected thus causing a great loss in profit. In this paper, predictive modeling of refined palm oil quality in one palm oil refining plant in Malaysia is proposed for online quality monitoring purposes. The color of the crude oil, Free Fatty acid (FFA) content, bleaching earth dosage, citric acid dosage, activated carbon dosage, deodorizer pressure and deodorizer temperature were studied in this paper. The industrial palm oil refinery data were used as input and output to the Artificial Neural Network (ANN) model. Various trials were examined for training all three ANN models using number of nodes in the hidden layer varying from 10 to 25. All three models were trained and tested reasonably well to predict FFA content, red and yellow color quality of the refined palm oil efficiently with small error. Therefore, the models can be further implemented in palm oil refinery plant as online prediction system.  

Clustering of oil refining plants in Russia

2020 ◽  
Author(s):  
Alina A. Tagaeva ◽  
◽  
Yuri A. Dziuba ◽  
Keyword(s):  
Crude Oil ◽  
Russian Federation ◽  
Oil Price ◽  
Refining Industry ◽  
Oil Refining ◽  
Applied Method ◽  
Processing Depth ◽  
Positive Effect ◽  
Refine Crude ◽  
Made In

Today in Russian Federation there are more than 30 oil–refining plants that refine crude oil and make final consumption products. Because of a necessity of quick modernization of oil–refining plants taxes reforming decisions were made in 2014. In 2015 statistics showed a positive effect occurred by these measures and Russian oil refining industry became more competitive despite the low oil price fact. Nevertheless there are still problems as low processing depth, incomplete loading of facilities and really low indicators of particular plants. So the applied method of clustering oil refining plants was made to make recommendations for every group in order to make whole industry more effective.

scholarly journals Assessment of the current state and tendency on diversification of development of the basket of oil products at the oil processing entities of Russia

2018 ◽  
Vol 11 (1) ◽  
pp. 4-10
Author(s):  
V. S. Bogdanova
Keyword(s):  
Value Added ◽  
Oil Products ◽  
Oil Refining ◽  
Processing Industry ◽  
Gradual Improvement ◽  
Orenburg Region ◽  
Oil Processing ◽  
Current State ◽  
High Octane

The current state of oil-processing industry is reflected in this article, the main problems of the entities of the Orenburg region are considered. Foreign experience of functioning of the largest world companies is given as comparison and carrying out the detailed analysis (ExxonMobile, Shell, BP, etc.). It is revealed that the production relation at the leading energy industries world companies to conversion is less «1» that speaks about their orientation on high loading and deep conversion while on domestic enterprises this indicator is more than «1». That is the Russian entities are generally export-oriented. Besides, the oil-processing industry of the Orenburg region is characterized by high wearing of fixed assets, low depth of conversion, a high share of «dark» oil products in the total amount of products and as a result – low «light», that is the share products with a high value added is extremely small. In work are developed for liquidation of this imbalance and certain measures, including, measures of tax incentives of release of high-quality (high-octane) products are proposed for implementation. At the same time, at the oil processing entities of the region positive shifts are already distinctly traced: by the leading scientific institutes of the country (CJSC Neftekhimproekt, PJSC Samaraneftekhimproyekt, PJSC NPP Neftekhim, etc.) based on the accumulated domestic and international experience, it is developed and the development program of industries of this industry is implemented, positive dynamics of growth of amounts of oil refining, gradual improvement of quality of the issued motor fuels due to a construction new and upgrades of the existing objects, refusal of production of ethylated motor gasolines, increase in a share of release of the high octane gasolines and environmentally friendly diesel fuels corresponding to quality of euro-5 is traced. Authors consider that the package of measures given in this article will provide a way to innovative and technology development not only oil-processing industry of the region, but also national economies in general.

scholarly journals Can Oil Refiners Adjust to a Greater Supply of Shale Oil?

2021 ◽  
Author(s):  
Walid Matar ◽  
Rami Shabaneh
Keyword(s):  
Crude Oil ◽  
Refining Industry ◽  
Oil Refining ◽  
Shale Oil ◽  
Oil Refineries ◽  
Oil Supply ◽  
Production Growth

The advent of American shale oil and its prospects for continued production growth have raised concerns about whether oil refineries can handle the increasingly lighter crude oil supply. To provide a perspective on this issue, we run a global oil refining model for the years from 2017 to 2030. The model’s objective is to maximize refining industry profits in eight global regions, taking into account around 100 grades of crude oil.

التطورات العالمية في صناعة تصفية النفط مع التركيز على تجربة السعودية والصين

2021 ◽  
Vol 2021 (69) ◽  
pp. 131-163
Author(s):  
دانية اياد محمد جاسم ◽  
أ. د . فلاح خلف علي الربيعي
Keyword(s):  
Saudi Arabia ◽  
Petroleum Products ◽  
International Standards ◽  
Refining Industry ◽  
Asia Pacific ◽  
Operational Performance ◽  
Oil Refining ◽  
Hydrogen Treatment ◽  
Oil Refineries ◽  
The World

Global developments in the oil refining industry are related to the ability of the producing countries to raise the level of operational performance of the refineries by increasing the filtering capacities, raising the percentage of hydrogen treatment process capacity and raising the ratio of operations to improve the octane number to the distillation capacity, to diversify production with a variety of goods with high added value, and reach the level Productivity, which meets global environmental standards and enhances its competitiveness in global markets. Achieving this goal collides with a number of environmental, economic and technological difficulties and constraints. In order to discuss these topics, the research was divided into six axes, the first focused on introducing the oil industry and petroleum products. As for the second axis, it dealt with the importance of the oil refining industry, and the third dealt with developments in the oil refining industry in the world, the fourth discussed the operational performance of oil refineries in the world, the fifth reviewed the experience of Saudi Arabia, and the sixth discussed briefly the Chinese experience in the field of the refining industry. The study reached a number of conclusions, the most important of which is that there is a geographical shift in the global oil refining industry in favor of the Asia-Pacific region, and that the total filtering capacity will increase by about 7.8 million b / d during the period 2018-2023, and most of this increase will come from the Asia-Pacific and the Middle East regions, Especially in countries that produce points such as Saudi Arabia, the UAE and Iran, The research recommended the necessity of dealing with the refining industry as a strategic industry, by adopting strategies aimed at producing and exporting high-quality petroleum products that are compatible with international standards.

A System of Computer Real Time Optimization Control for Refining Industry

2013 ◽  
Vol 380-384 ◽  
pp. 342-346
Author(s):  
Jing Chen
Keyword(s):  
Real Time ◽  
Mathematic Model ◽  
Refining Industry ◽  
Oil Refining ◽  
Optimization Strategy ◽  
Oil Refineries ◽  
Time Optimization ◽  
Highly Nonlinear ◽  
Optimization Control ◽  
Real Time Optimization

The catalytic cracking unit, of oil refining industry, is a complex process characterized by its prolonged time delay and strong coupling ability. The unit is highly nonlinear and varies with time. Its mathematic model can be obtained online with difficulty, so as the parameters model. We describe the system of A System of Computer Real Time Optimization Control for Oil Refining Indus try ,and it is present that the system rely on coupling method of parameter identification and online simulation and synthesizing evolutionary technology of Multiple optimization strategy. It builds a single input, single output black box mathematic model. It is applied to predict the trend of system outputs, guiding the operations. This system has been adopted in several oil refineries, the benefits are pronounced.

A System of Multistep Self-Learning Forecast and its Application on Oil Refining Industry

2012 ◽  
Vol 605-607 ◽  
pp. 1675-1678
Author(s):  
Jing Chen
Keyword(s):  
Catalytic Cracking ◽  
Large Scale ◽  
Learning Experience ◽  
Oil Refinery ◽  
Refining Industry ◽  
Oil Refining ◽  
Modern Control Theory ◽  
Complex Process ◽  
Production Techniques ◽  
Self Learning

The catalytic cracking unit of oil refining industry, is a complex process characterized by its prolonged time delay and strong coupling ability.This system adopts the method of modern control theory, artificial intelligence combined effectively production techniques, researchs the problem of the multistep self-learning experience forecast online by computers and its applications in oil refinery. The system guides and optimizes the operations of the production process based on its memory, comparisons and analysis. The system is very effective to increase yield; It has been applied and popularized in 20 large-scale or middle-scale oil refining corporations.

Sign in / Sign up

Export Citation Format

Share Document