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    Wyświetlanie 1-3 z 3
    Tytuł:
    Geomatics in hydrogeology
    Autorzy:
    Michalak, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2059615.pdf
    Data publikacji:
    2003
    Wydawca:
    Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
    Tematy:
    geomatics
    geospatial information
    geological feature
    hydrogeological feature
    geological object
    hydrogeological object
    fuzzy feature
    fiat feature
    Opis:
    Design and construction of hydrogeological information systems is now a necessity. For proper functionality of these systems, it is necessary to create them in accordance with widely accepted international standards regarding geospatial information. Geomatics research tools allow for creation of basic models of hydrogeological data, consistent with these standards. The models can be based upon classification of types and subtypes of hydrogeological features, as well as upon basic and derived classes of hydrogeological objects. The basis for this classification can be differentiation between features and objects, as well as between fuzzy features (objects) and fiat features (objects), or the analysis of their spatial dimensionality.
    Źródło:
    Geological Quarterly; 2003, 47, 1; 69-76
    1641-7291
    Pojawia się w:
    Geological Quarterly
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Insight into a shape of salt storage caverns
    Autorzy:
    Cyran, Katarzyna
    Powiązania:
    https://bibliotekanauki.pl/articles/218820.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    złoża soli kamiennej
    kawerna solna
    utylizacja odpadów przemysłowych
    underground storage in rock salt deposit
    geological feature
    shape of salt caverns
    irregularities
    Opis:
    Salt caverns are used for over 70 years to store power sources and dispose of industrial wastes. The design of cavern shape and dimensions is still considered as a difficult engineering problem despite progress in geotechnical, construction and exploration methods. The rational design of cavern depends on mechanical parameters of rock salt and nonsalt rocks, stability conditions, safety requirements and stored material. However, most of these factors are related to geological factors like depth of cavern location, the geological structure of salt deposit, lithology of interlayers, petrology and mineralogy of rock salt and interlayers. The significant diversity in the geological conditions of different rock salt deposits contributed to the variety in shape and dimensions of salt caverns worldwide. In this paper, the examples of caverns developed in various salt deposits are presented. The shape of these caverns and its relation to geological features is presented. The influence of geological factors on the formation of irregularities in a cavern shape is described. Moreover, the evaluation of storage caverns located in Polish salt deposits in a view of the aforementioned geological factors is performed. The information and analysis described in this paper provide input which can be useful in future plans connected with the development of underground storage in Poland.
    Źródło:
    Archives of Mining Sciences; 2020, 65, 2; 363-398
    0860-7001
    Pojawia się w:
    Archives of Mining Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A machine learning method for soil conditioning automated decision-making of EPBM : hybrid GBDT and Random Forest Algorithm
    Autorzy:
    Lin, Lin
    Guo, Hao
    Lv, Yancheng
    Liu, Jie
    Tong, Changsheng
    Yang, Shuqin
    Powiązania:
    https://bibliotekanauki.pl/articles/2087007.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    soil conditioning
    automated decision-making
    hybrid algorithm
    geological parameters
    drive parameters
    feature selection
    Opis:
    There lacks an automated decision-making method for soil conditioning of EPBM with high accuracy and efficiency that is applicable to changeable geological conditions and takes drive parameters into consideration. A hybrid method of Gradient Boosting Decision Tree (GBDT) and random forest algorithm to make decisions on soil conditioning using foam is proposed in this paper to realize automated decision-making. Relevant parameters include decision parameters (geological parameters and drive parameters) and target parameters (dosage of foam). GBDT, an efficient algorithm based on decision tree, is used to determine the weights of geological parameters, forming 3 parameters sets. Then 3 decision-making models are established using random forest, an algorithm with high accuracy based on decision tree. The optimal model is obtained by Bayesian optimization. It proves that the model has obvious advantages in accuracy compared with other methods. The model can realize real-time decision-making with high accuracy under changeable geological conditions and reduce the experiment cost.
    Źródło:
    Eksploatacja i Niezawodność; 2022, 24, 2; 237--247
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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