scholarly journals METROLOGICAL SUPPORT OF PETROLEUM PRODUCT TESTING FOR PURPOSES OF CONFORMITY ASSESSMENT

Author(s):  
К.В. Шаталов

С использованием методов системного анализа обоснована системная цель метрологического обеспечения испытаний нефтепродуктов – получение точной, полной и достоверной измерительной информации о составе и свойствах нефтепродуктов, которая достигается через решение двух частных целей: а) создание условий для получения результатов испытаний с требуемой точностью; б) достижение такого состояния процесса испытаний, которое обеспечивало бы получение точной и достоверной измерительной информации о составе и свойствах нефтепродуктов. Раскрытие первой и второй частных целей образует структуру системы метрологического обеспечения испытаний нефтепродуктов, представляющую собой совокупность традиционных элементов и процессов метрологического обеспечения и процедур управления процессом испытаний нефтепродуктов. В разработанной структуре системы метрологического обеспечения испытаний нефтепродуктов используются как известные общепризнанные элементы и процессы метрологического обеспечения, так и новые элементы и процессы, отражающие специфику процесса испытаний как объекта метрологического обеспечения. В частности, для подтверждения метрологической пригодности методик испытаний нефтепродуктов предложено использовать процедуры валидации и верификации, показана необходимость верификации операторов, проводящих испытания. В целях снижения погрешности испытаний нефтепродуктов обоснована необходимость включения в систему метрологического обеспечения мероприятий по управлению процессом испытаний нефтепродуктов в лаборатории. Показана такая последовательность действий по метрологическому обеспечению испытаний нефтепродуктов, которая позволяет добиться такого состояния процесса испытаний, в котором погрешность получаемых результатов находится в определенных статистически обоснованных границах, а достоверность результатов испытания подтверждается стабильностью значений погрешности. Applying the methods of system analysis, the system goal of metrological support for petroleum product testing is justified; the goal is to obtain accurate, complete, reliable measurement information about the composition and properties of petroleum products, which is achieved via solving two subgoals: а) creating conditions for obtaining the testing results having the required accuracy; б) achieving such a state of the testing progress that would ensure the receipt of accurate and reliable measurement information about the petroleum product composition and properties. The disclosure of the first and second subgoals forms the structure of the metrological support system intended for testing of petroleum products, which is a complex of conventional elements and processes of metrological support and procedures for controlling the process of petroleum product testing. In the structure of the metrological support system under development purposed for petroleum product testing, both well-known and generally recognized elements and processes of metrological support, as well as new elements and processes that capture the specific features of the testing process as a subject of metrological support. In particular, it is proposed to use validation and verification procedures to confirm the metrological applicability of testing methods intended for petroleum products, and the need for verification of operators, who carry out the tests, is given. In order to reduce the petroleum testing inaccuracy, the need to include measures to control the process of petroleum product testing in a lab by way of the metrological support system is justified. The following sequence of actions for metrological support of petroleum products testing is shown; it allows achieving such a state of the testing process, in which the tolerance of the obtained results is within certain statistically adjusted limits and the reliability of the test results is confirmed by the stability of the tolerance values.

2020 ◽  
pp. 43-50
Author(s):  
A.S. Komshin ◽  
K.G. Potapov ◽  
V.I. Pronyakin ◽  
A.B. Syritskii

The paper presents an alternative approach to metrological support and assessment of the technical condition of rolling bearings in operation. The analysis of existing approaches, including methods of vibration diagnostics, envelope analysis, wavelet analysis, etc. Considers the possibility of applying a phase-chronometric method for support on the basis of neurodiagnostics bearing life cycle on the basis of the unified format of measurement information. The possibility of diagnosing a rolling bearing when analyzing measurement information from the shaft and separator was evaluated.


Author(s):  
Y.N. Rybakov ◽  
◽  
V.E. Danilov ◽  
I.V. Danilov ◽  
◽  
...  

The problem of losses of oil products from leaks during their storage and transportation at oil supply facilities is considered. The influence of oil product leaks on the environmental situation around oil depots and gas stations is shown. A detailed overview of existing methods and tools for detecting leaks of petroleum products from storage facilities is presented. The evaluation of their effectiveness. Two methods for detecting oil leaks and devices based on them are proposed. The first device monitors the movement of liquid in the tank, the second-detects petroleum products in wastewater. The problem of recovery of petroleum vapors and environmental pollution from the release of vapors of light fractions into the atmosphere is also considered. An overview of existing methods and means of recovery of petroleum vapors is presented. Two methods and devices for capturing oil vapors and returning them to the reservoir are proposed, based on different principles: vapor absorption in the cooled oil product and vapor recovery on the principle of the Carnot cycle. It is shown that these devices can provide effective detection of oil leaks and recovery of their vapors, as well as improve the effectiveness of environmental protection at modern gas stations and tank farms.


2021 ◽  
pp. 014459872098361
Author(s):  
Yanqiu Wang ◽  
Zhengxin Sun ◽  
Pengtai Li ◽  
Zhiwei Zhu

This paper analyzes the small cosmopolitan and stability of the industrial coupling symbiotic network of eco-industrial parks of oil and gas resource-based cities. Taking Daqing A Ecological Industrial Park as an example, we constructed the characteristic index system and calculated the topological parameters such as the agglomeration coefficient and the average shortest path length of the industrial coupling symbiotic network. Based on the complex network theory we analyzed the characteristics of the scaled world, constructed the adjacency matrix of material and information transfers between enterprises, drew the network topology diagram. We simulated the system analysis and analyzed the stability of the industrial coupling symbiotic network of the eco-industrial park using the network efficiency and node load and maximum connected subgraph. The analysis results are as follows: the small world degree δ of Daqing A Eco-industrial Park is 0.891, which indicates that the industrial coupled symbiotic network has strong small world characteristics; the average path is 1.268, and the agglomeration coefficient is 0.631. The probability of edge connection between two nodes in a symbiotic network is 63.1%, which has a relatively high degree of aggregation, indicating that energy and material exchanges are frequent among all enterprises in the network, the degree of network aggregation is high, and the dependence between nodes is high; when the tolerance parameter is 0 to 0.3, the network efficiency and the maximum connected subgraphs show a sharp change trend, indicating that the topology of the industrial coupling symbiotic network of the eco-industrial park changes drastically when the network is subjected to deliberate attacks. It is easy to cause the breakage of material flow and energy flow in the industrial park, which leads to the decline of the stability of the industrial coupling symbiotic network of the eco-industrial park.


2021 ◽  
Vol 1933 (1) ◽  
pp. 012035
Author(s):  
Muhammad Amin ◽  
Novica Irawati ◽  
Hommy Dorthy Ellyany Sinaga ◽  
Dwi Retnosari ◽  
Jauhari Maulani ◽  
...  

2013 ◽  
Vol 694-697 ◽  
pp. 2881-2885
Author(s):  
Hai Yan Wang ◽  
Jian Xin Zhang

Dyeing textile’s information management system is the basis of accurate classification of color, machine studying methods have became a popular area of research for application in color classification. Traditional classification methods have high efficiency and are very simple , but they are dependent on the distribution of sample spaces. If the sample data properties are not independent, forecast precision will been affected badly and internal instability will appear. An application of Gray-Relation for dyeing textile color classification has been designed, which offsets the discount in mathematical statistics method for system analysis. It is applicable regardless of variant in sample size, while quantizing structure is in agreement with qualitative analysis. On the basis of theoretical analysis, Dyeing textile color classification was conducted in the conditions of random sampling、 uniform sampling and stratified sampling. The experimental results proofs that by using Gray-Relation, dyeing textile color classification does not need to be dependent on sample space distribution, and increases the stability of classification.


Author(s):  

The possibility of the virtual analyzers models constructing of the petroleum products quality indicators for the atmospheric column of an oil refinery is considered. Comparison of linear models is carried out. It was found that more accurate and less costly are autoregressive models with a distributed lag. The use of such models at the facility improves the efficiency of obtaining information about the quality of petroleum products. Keywords virtual analyzers; autoregressive model; lag; factors; petroleum product; method of principal components; quality


2020 ◽  
Vol 80 (9) ◽  
Author(s):  
Soumya Chakraborty ◽  
Sudip Mishra ◽  
Subenoy Chakraborty

AbstractA cosmological model having matter field as (non) interacting dark energy (DE) and baryonic matter and minimally coupled to gravity is considered in the present work with flat FLRW space time. The DE is chosen in the form of a three-form field while radiation and dust (i.e; cold dark matter) are the baryonic part. The cosmic evolution is studied through dynamical system analysis of the autonomous system so formed from the evolution equations by suitable choice of the dimensionless variables. The stability of the non-hyperbolic critical points are examined by Center manifold theory and possible bifurcation scenarios have been examined.


Author(s):  
Maria Popa ◽  
Loredana Irena Negoita

This paper presents a study on the migration into a soil structure of a pollutant, a liquid petroleum product. Accidental pollution with a liquid petroleum product can also be considered to crack a transport pipeline. This leads to the displacement of the pollutant in the soil structure, both horizontally and vertically. The study presents an analysis of the migration velocity in the soil structure, with certain physical properties, of both the soil and the pollutant petroleum product. The penetration of petroleum products to a certain depth in soil is influenced by its humidity, grain size and density, pollution intensity, viscosity and pollutant density. It was possible to calculate for the first time at the experimental laboratory level the depth of penetration of the pollutant.


Author(s):  
V. P. Martsenyuk ◽  
I Ye. Andrushchak

The work presents our results in field of application of system analysis methods to problem of medical research. We emphasize effects of uncertainty that should be taken into account in such complex processes. Medical system research requires information support system implementing data mining algorithms resulting in decision trees or IF-THEN rules. Besides that such system should be object-oriented and web-integrated.The aim of this study was to develop information support system based on data mining algorithms applied to system analysis method for medical system research. System analysis methods were used for qualitative analysis of diseases mathematical models. Algorithms such as decision tree induction and sequential covering algorithm were applied for data mining from learning data set.We observed the complex qualitative behavior of population and diseases models depending on parameters and controllers even without considering probabilistic nature of the most of quantities and parameters of information models.


2007 ◽  
Vol 353-358 ◽  
pp. 2517-2520
Author(s):  
Xiao Jing Li ◽  
Wei Shen Zhu ◽  
Wei Min Yang

Based on the underground structure scheme of Langyashan hydro-electrical project, lots of elastic-plastic numerical analysis were conducted considering modulus of deformation, layout depth of underground opening, height of main factory premises, coefficient of lateral compressive stress, as the mainly mechanical parameters that influenced the stability analysis of underground openings. The mathematical statistics method was employed to investigate the displacement variation law of key point surrounding house periphery and found the forecast model. Then the forecast model was used to analyze the sensitivity parameters. It was shown that there was a good agreement between theoretic result and monitoring result in situ.


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