Application of Loss Rates for Petroleum Products Due to Natural Wastage in Customs Procedures

Jurušs, Māris; Seile, Elza

doi:10.1016/j.proeng.2017.01.069

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…In Riga Technical University monitoring process was started based on Latvian transport system leading experts [7] , [8] , [9] opinions about research topically for whole EU, Latvia and at regional level [10] , [11] , [12] . Parallel to data mining, RTU conduct different researches related both transport, logistic [13] , international relations [14] , petroleum products research [15] and several researches related with tax [16] , [17] , education [18] and business [19] . For researches use different economical – mathematical methods, as optimization method [20] , econometric method [21] , ratio analyse method [22] , as well as methods and approach development [23] , [24] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Used-car market dataset for Latvia 2018

Skribans

2019

Data in Brief

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Used-car market monitoring was started in 2018, 03 January, when Federal Administrative Court in Leipzig (Germany) allowed cities and communes in Germany to impose bans for diesel cars in order to reduce the level of nitric oxide in the air. This decision can radically change used-car market in the EU, because Germany massive exports used cars to Eastern Europe. The database shows the influence of the Germany Court decision to the used-car market in Latvia, as part of the EU market. The database represents the used-car market monitoring in Latvia during 2018. In Latvia 20–22th. used-car are offered for sale each month. The database reflects the observation dynamics of 12 months. In the observations there are included main used-car characteristics such as price, first registration date, motor cubic capacity, motor type, gearbox type, mileage, color, producer (brand), model, body types, (following) technical inspection data, set (features) of cars and so on.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Used-car market dataset for Latvia 2018

Skribans

2019

Data in Brief

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“…During the observation period the petrol losses were 0.4 %, and gas oil more 0.3 %. Although in [9] it is indicated that the possible errors of weights were up to 0.5 %. Murphy and Mohsen [10] proposed a mathematical model that describes the loss of petroleum products at the last stage of their implementation at the gas station that were sold through fuel dispensers.…”

Section: Introductionmentioning

confidence: 99%

“…Natural and technological losses of petroleum products are added to the measurement errors shown in table 1. This due to the sticking of liquid on the tank's walls, evaporation, tanks and pumps leakage, etc [9]. In [9] shows the natural losses of petrol and gas oil from all sources during the customs acceptance and transhipment -regular geometric shape 0.3 -complex geometric shape 0.5 OIML R 80, 5.1.2 [4] MPE of road and rail tankers capacity 0.5; 1 OIML R 125, MPE of mass measurement of liquids in vertical tanks with 0.5 6.2.2 [5] hydrostatic method OIML R 117, MPE of mass measurement of liquids with Coriolis meter or 0.5; 1 4.2.1 [6] liquids volume with volume meters (including fuel dispensers)…”

Section: Introductionmentioning

confidence: 99%

“…A lot of publications, for example [9][10][11][12][13], are dedicated to loss reduction during the petroleum products storage in reservoirs, including improvement of the construction of the floating roof or pontoon. Much attention has also been paid to calculating mathematical models for estimating these losses in tanks as functions of many factors.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical model of the petroleum products mass balancing in their supply network through the detection of excessive losses by the least squares method

Samoilenko¹

2023

Eng. Res. Express

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A method for balancing the mass of petroleum products in their entire supply network, from the manufacturer to the car gas tank, was proposed. The method is based on the analysis of differences that occur during double measurements of the same mass using different instruments during each delivery-acceptance operation. The analysis of these differences was performed using the least squares method (LSM) by composition and solving equations. As a result, LSM-balanced mass values were obtained for each petroleum delivery-acceptance operation and for the supply network as a whole.Balancing is performed by detecting losses that occur before the mass measurements or during the mass measurements of each measuring instrument. Additive and/or multiplicative losses can be detected. The additives have the same losses for each delivery-acceptance operation, regardless of the measured mass. The multiplicative losses increased in proportion to the measured mass. The measurement uncertainty was strictly developed according to the LSM. The simulated test example shows that the losses were determined with a sufficiently high accuracy. A key condition for this is to ensure the traceability of the mass measurements by calibrating all measuring devices involved in the network. The application of this method will allow petroleum products suppliers to find and eliminate sources of excessive natural and technological losses in a timely manner. It is of equal importance to identify weaknesses in the supply network where thefts can occur.

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“…Petroleum and petroleum products are mixtures of a variety of hydrocarbons, of which the light component is highly volatile [1][2][3][4]. The evaporation loss of oil is large, and the oil loss rate is as high as 1.5~3% [5]. The study of oil and gas loss in storage tanks is conducive to discovering the loss problems in the production process of crude oil [6][7][8][9][10][11][12][13], and carrying out the corresponding transformations is conducive to promoting low-carbon energy saving and improving the economic benefits in oilfields [14,15].…”

Section: Introductionmentioning

confidence: 99%

Study on Homogeneous Reduction Technology in Gas Samples for Oil and Gas Loss

Lü

Song

et al. 2023

Separations

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The process of storing oil depots and combined station tanks is affected by factors such as process technology, equipment, and management methods. Inevitably, some heavy hydrocarbon components will condense. According to the available literature, the existing detection methods are not enough to accurately measure the component composition so that the proportion of heavy hydrocarbon substances in the lost gas is reduced. In this paper, by inventing a homogeneous reduction device, the lost gas in the entire laboratory process was kept in a homogeneous state so that the gas components were well-retained. Using the homogeneous reduction method and a traditional inspection method, gas chromatography was performed on a standard gas and the on-site lost gas, respectively. The standard gas measurement results show that the mean deviations of the homogeneous reduction method and the traditional test method were −3.45% and −11.62%, respectively, and the reduction degree reached 96.55% with the homogeneous reduction method. The results of the on-site gas loss measurements show that the proportions of most hydrocarbon substances in each lost gas increase to varying degrees after using the homogeneous reduction technology. Therefore, it is proved that these components can be better preserved using the homogeneous reduction method. It can effectively avoid the condensation of components, which is of great significance to the study of oil and gas loss.

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Application of Loss Rates for Petroleum Products Due to Natural Wastage in Customs Procedures

Cited by 3 publications

References 6 publications

Used-car market dataset for Latvia 2018

Used-car market dataset for Latvia 2018

Mathematical model of the petroleum products mass balancing in their supply network through the detection of excessive losses by the least squares method

Study on Homogeneous Reduction Technology in Gas Samples for Oil and Gas Loss

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