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Date submitted2022-05-13
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Date accepted2022-09-24
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Date published2022-11-03
Rapid detection of coal ash based on machine learning and X-ray fluorescence
Real-time testing of coal ash plays a vital role in the chemical, power generation, metallurgical, and coal separation sectors. The rapid online testing of coal ash using radiation measurement as the mainstream technology has problems such as strict coal sample requirements, poor radiation safety, low accuracy, and complicated equipment replacement. In this study, an intelligent detection technique based on feed-forward neural networks and improved particle swarm optimization (IPSO-FNN) is proposed to predict coal quality ash content in a fast, accurate, safe，and convenient manner. The data set was obtained by testing the elemental content of 198 coal samples with X-ray fluorescence (XRF). The types of input elements for machine learning (Si, Al, Fe, K, Ca, Mg, Ti, Zn, Na, P) were determined by combining the X-ray photoelectron spectroscopy (XPS) data with the change in the physical phase of each element in the coal samples during combustion. The mean squared error and coefficient of determination were chosen as the performance measures for the model. The results show that the IPSO algorithm is useful in adjusting the optimal number of nodes in the hidden layer. The IPSO-FNN model has strong prediction ability and good accuracy in coal ash prediction. The effect of the input element content of the IPSO-FNN model on the ash content was investigated, and it was found that the potassium content was the most significant factor affecting the ash content. This study is essential for real-time online, accurate, and fast prediction of coal ash.
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Date submitted2019-10-15
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Date accepted2019-11-19
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Date published2020-10-08
Oilfield service companies as part of economy digitalization: assessment of the prospects for innovative development
- Authors:
- Svetlana V. Razmanova
- Olga V. Andrukhova
The digital transformation of the economy as the most important stage of scientific and technological progress and transition to a new technological structure is becoming one of the determining factors in the development and competitiveness of the domestic upstream sector. Prospects for innovative development of oilfield service companies are the key technological areas within the first project of the Hi-Tech Strategy of the German Government until 2020 – “Industry 4.0”. The purpose of this study is to assess the prospects for innovative development of the domestic oilfield service industry in the context of the digitalization of the oil and gas industry. The subject of the research is the process of the formation of key technological lines of “Industry 4.0” and their impact on the domestic oil and gas sector. The research is based on logical-theoretical and empirical analyses. The main factors that determine processes of digital transformation in the oil and gas industry are considered; the results of digitalization processes in the largest foreign and Russian industry companies of the upstream and oilfield services segments are presented. The information base is made up of data from oilfield service and oil and gas producing companies, presented on the official websites of companies in the public domain on the Internet. It has been proven that, unlike the world's leading companies in oilfield services segment, independent domestic oilfield service companies provide mainly traditional service technologies in a fairly narrow range. The limited scope of functioning and technological capabilities of Russian companies is explained by the lack of necessary investment in development and expansion of business, as well as interest on the part of the state and corporate sectors in the development and replication of domestic technologies and the formation of a full-fledged oilfield services market in Russia.
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Date submitted2014-09-16
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Date accepted2014-11-04
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Date published2015-06-26
The possibility to predict the oil and gas price crisis in the world market on the basis of the correlation analysis
- Authors:
- V. A. Lebedev
- B. I. Spesivtsev
The article is devoted to the search for the formal signs of the onset of crisis phenomena in the global economy related to the financial and oil and gas markets. To predict the crisis in the financial market and, as a consequence, the fuel market, the theory of «Jokers and Channels» is used in this paper. In accordance with the theory, the market is divided into predictable and unpredictable periods. Methods of the correlation analysis are used to analyze time series of exchange rates and oil and gas prices. In this paper, the authors construct the time dependence of the annual Pearson correlation coefficients between the ranks of quotes of the world leading currencies over the period from 1999 to 2013. A strong correlation between oil prices and the dollar exchange rate leads to the suggestion of identifying the crisis phenomena in the oil market, and due to the strong link between oil and gas prices, in the liquefied gas market. According to the results of the correlation analysis, the «Joker» period is determined and the conventional period of crisis enters it with some delay. Thus, based on the research the authors can conclude that, in fact, the global crisis starts earlier than the generally accepted term and is determined by the Joker period.
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Date submitted2009-10-12
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Date accepted2009-12-26
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Date published2010-09-22
Methods and techniques for control of rockburst-hazard in underground mining at ore mines of the Far-East district
An assessment is given to the present-day state of control of dynamic rock pressure manifestations in the rockburst-hazardous ore mines of the Far-East district. Consideration is given to the used methods and facilities for control of rock pressure and the ways for their improvement . Basic foundations of methodical approaches to the assessment of geomechanical state of rock mass by data of geoacoustic control are considered.
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Date submitted2009-10-26
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Date accepted2009-12-27
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Date published2010-09-22
Support of geodynamic safety in mining of the Khibini deposits
The paper deals with the problems of geodynamics in mining of the Khibini deposits. Description is given to the complex of organizational-technical arrangements for provision of geodynamic safety at the Apatit Co and to principal trends of its development.
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Date submitted2009-10-30
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Date accepted2009-12-30
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Date published2010-09-22
Prediction of geodynamic processes in exploitation of the rockburst-dangerous North-Urals bauxite deposit
- Authors:
- D. V. Sidorov
- O. B. Shonin
The paper presents the results of a computer modeling technology applied in the «Sevuralboxitruda» enterprise. The aim of the technology is to forecast geodynamical processes during mining works in tectonic-stressed zones of ore deposits. The impact degree on structural components of room-and-pillar mining method caused by active tectonic faults is estimated.
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Date submitted2009-10-10
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Date accepted2009-12-02
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Date published2010-09-22
Deformational precursors of technogenic earthquakes in mining the hydrocarbon deposits
During monitoring since 2005 to 2008 at the Astrakhan gas-field it has been recorded three technogenic earthquakes. Results of geodetic levelling for the given period allow to approve that seismic event is preceded by raisings of a surface and its subsequent subsidence as a its result of unloading. That allows to use geodetic levelling for the forecast of technogenic seismic phenomena for oil and gas fields.
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Date submitted2009-10-11
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Date accepted2009-12-26
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Date published2010-09-22
The analysis of factors, that cause processes of open hole wells’ destructions of Gatchina underground gas storage reservoir and prediction of sand effects
- Authors:
- D. V. Grishin
- A. V. Petukhov
- A. A. Petukhov
The peculiarities of elastic stresses in open hole wells’ of Gatchina gas storage reservoir are researched. It is revealed that in depression more than 1,5 MPa gas bearing rocks start to destroy. On the basis of studying of correlation relation between technological parameters of gas wells’ production and evacuation of sand the equations of plural regression are constructed. These equations are used to make prediction of sand evacuation at each producing gas well.
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Date submitted2008-11-25
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Date accepted2009-01-02
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Date published2009-12-11
Principles and methods of constructing models of contract bidding in outsourcing support-service production
- Authors:
- N. G. Voronov
We consider the principles and methods of construction contract bidding in outsourcing support-service production by the criterion of optimality of the customer, implemented with a minimum expenditure of the funds and ensure the reduction of the cost of production customers.
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Date submitted2008-10-21
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Date accepted2008-12-10
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Date published2009-12-11
Prediction and prospecting types of reflection of buried kimberlite fields in terrigenous diamond-bearing rocks
- Authors:
- V. N. Ustinov
On the basis of complex of lithologic-stratigraphic, mineralogical, facial-dynamic, paleogeomorphologic and morphogenetic features of post-kimberlitic terrigenous diamond-bearing rocks and reconstructed synchronous relief three prediction and prospecting types of reflection of buried kimberlite fields are distinguished. It is shown that ranging of diamondiferous territories to various types enables to direct exploration works to discovery of diamond deposits of the certain origin and makes possible to select proper prospecting technique. With the use of suggested criteria of research of promising territories the evaluation of diamond presence in the industrial regions of the Siberian, East-European and African-Arabian platforms is carried out.