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Wyszukujesz frazę "oil mine" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
The analysis of the soil gases on the chosen example of oil mine
Autorzy:
Fąfara, Z.
Ilkiv, I.
Przybyłowicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/299060.pdf
Data publikacji:
2015
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
geochemical testing
soil gases
oil mine
geostatistical methods
Opis:
In the autumn of 2014 were performed the geochemical research of the soil gases composition in the area of selected oil mine in southern Poland. For a total were carried out of 75 individual analysis at 55 measuring points. The average depth of the measuring point was about 84.4 cm. The grid selection of the measurement points was made ad hoc, taking into account arrangement the existing mine installation and the location of the abandon wells. Finally, geochemical studies were performed in the vicinity of 6 exploitation wells (1 liquidated, one flowing well and 4 pumped periodically), on the route of transmission pipelines and in the area of group centers. The free choice of the measurement point location was limited by buildings and agricultural crops. In the area of the analyzed deposit were drilled more than 100 wells, most of which were liquidated and usually did not stay after them no trace on the surface. Based on the results of the geochemical research of the soil gases composition there was determined the spatial distribution of the methane concentration in the soil in the nodes of a regular grid by geostatistical methods using kriging. On this bases there were developed the maps of the methane concentration. Generally, on the oil deposit site there were detected two areas with the increased methane concentration in the ground. The distribution of the methane concentration in soil on the first one shows the installation leak in the vicinity of several wells. In the second much smaller area it may suspect that the pipeline transporting crude oil to the group centre is leaky. In the research area are vast cultivated fields of high oxygenation and small wet ground. There are no permanently wetlands areas. This means that in soil occur at most aerobic rot and decay processes, resulting in the production of carbon dioxide but not methane. There is no reason to assume that occur also the natural anaerobic putrefaction processes. Therefore, the detected abnormally high methane concentration in the ground is not of biological origin. To confirm formulated hypothesis should also be do the chromatographic research of C14 carbon isotope content in the taken methane samples from the soil to determine his age and confront it with the age of methane produced from the deposit. In general, the results analysis of the geochemical research of the soil gases composition leads to the conclusion that the rock mass is hermetic from the geological point of view, but there are occasional leaks in the production system of several wells and transmission pipeline, that can remove.
Źródło:
AGH Drilling, Oil, Gas; 2015, 32, 2; 443-455
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Badania nad unieszkodliwianiem ścieków kopalnianych towarzyszących surowcom węglowodorowym
Investigations on the treatment waste mines water accompanying of the hydrocarbon raw materials
Autorzy:
Konopka, E.
Lewkiewicz-Małysa, A.
Powiązania:
https://bibliotekanauki.pl/articles/350134.pdf
Data publikacji:
2006
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
górnictwo ropy i gazu
odpadowe wody kopalniane
koagulacja
flokulacja
oil and gas mining
waste mine's water
coagulation
flocculation
Opis:
Odpadowe wody kopalniane towarzyszące eksploatacji ropy naftowej i gazu ziemnego są w różnym (wysokim) stopniu zmineralizowanymi solankami chlorkowo-sodowymi. Występują w nich w znaczących ilościach swoiste substancje organiczne, jak również niosą ładunek trudno opadającej zawiesiny. Odpad ten docelowo musi zostać oczyszczony w stopniu umożliwiającym odprowadzanie do powierzchniowych cieków wodnych lub zatłaczanie do warstw chłonnych. Na przykładzie dwóch próbek ścieków przeprowadzone zostały badania laboratoryjne nad wykazaniem skuteczności metody koagulacji-flokulacji - w zależności od stopnia zanieczyszczenia Celem tych badań było określenie możliwości i ograniczeń w eliminowaniu składników ścieku o negatywnym wpływie na stan wód powierzchniowych i skały górotworu.
Waste mine's water produced during oil and natural gas exploitation are to varying degree (highly) mineralized with chlorine and sodium brines. Considerable quantities of specific organic substances and a charge of hardly settling suspension are present in the mine's water. This waste needs treating to such a degree that it can be disposed to water courses or injected into the rock mass. Laboratory analyses of two exemplary waste samples were targeted at the efficiency of the coagulation-flocculation method in view of degree of contamination. The analyses were aimed at determining possibilities and limitations of methods of removing components of waste which have a negative environmental influence on surface waters and rock mass.
Źródło:
Górnictwo i Geoinżynieria; 2006, 30, 3/1; 137-145
1732-6702
Pojawia się w:
Górnictwo i Geoinżynieria
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Preprocessing large datasets using Gaussian mixture modelling to improve prediction accuracy of truck productivity at mine sites
Autorzy:
Fan, Chengkai
Zhang, Na
Jiang, Bei
Liu, Wei Victor
Powiązania:
https://bibliotekanauki.pl/articles/2203342.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
kopalnia
samochód ciężarowy
piasek roponośny
oil sands mining
mine truck productivity
Gaussian mixture model
latent variable
prediction accuracy
relative importance
Opis:
The historical datasets at operating mine sites are usually large. Directly applying large datasets to build prediction models may lead to inaccurate results. To overcome the real-world challenges, this study aimed to handle these large datasets using Gaussian mixture modelling (GMM) for developing a novel and accurate prediction model of truck productivity. A large dataset of truck haulage collected at operating mine sites was clustered by GMM into three latent classes before the prediction model was built. The labels of these latent classes generated a latent variable. Two multiple linear regression (MLR) models were then constructed, including the ordinary-MLR (O-MLR) and the hybrid GMM-MLR models. The GMM-MLR model incorporated the observed input variables and a latent variable in the form of interaction terms. The O-MLR model was the baseline model and did not involve the latent variable. The GMM-MLR model performed considerably better than the O-MLR model in predicting truck productivity. The interaction terms quantitatively measured the differences in how the observed input variables affected truck productivity in three classes (high, medium, and low truck productivity). The haul distance was the most crucial input variable in the GMM-MLR model. This study provides new insights into handling massive amounts of data in truck haulage datasets and a more accurate prediction model for truck productivity.
Źródło:
Archives of Mining Sciences; 2022, 67, 4; 661--680
0860-7001
Pojawia się w:
Archives of Mining Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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