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    Tytuł:
    Zastosowanie atrybutów sejsmicznych w konstrukcji modelu petrofizycznego na przykładzie mioceńskich utworów zapadliska przedkarpackiego
    Application of seismic attributes in petrophysical model construction, Miocene deposits in the Carpathian Foredeep
    Autorzy:
    Zych, I.
    Smółka-Gnutek, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/2075115.pdf
    Data publikacji:
    2014
    Wydawca:
    Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
    Tematy:
    atrybut sejsmiczny
    model petrofizyczny
    miocen
    modelowanie przestrzenne
    seismic attributes
    petrophysical model
    Miocene
    spatial modeling
    Opis:
    The aimof this studywas to predict reservoir parameters distribution in Miocene deposits. The area of interest is located in the Carpathian Foredeep, where many deposits of natural gas such as Sędziszów (Zagórzyce), Nosówka and Góra Ropczycka are known. The results of the analysis verified existing gas fields and identified new anomalous zones. The main advantage of presented method is the integration of geological, petrophysical and seismic data. For the purpose of modelling of petrophysical parameters distribution (e.g. porosity, density, gamma ray), results of inversion, well logs and seismic attributes were used. On the basis of structural interpretation of 3D seismic data, the structure framework was built. The entire model was divided into four Miocene's complexes and then split it into layers of 10 m thickness. All used well logging data were scaled to the spatial resolution of the structural model. Estimation of petrophysical parameters was performed using advanced algorithms available in Petrel (Neural Net, Gaussian Random Function Simulation). A number of seismic attributes (e.g. Sweetness, Envelope, Local Flatness, Relative Acoustic Impedance, Dominat Frequency, Chaos, Acoustic Impedance) were used to steer the distribution of petrophysical well data. The study provided information about the distribution of petrophysical properties at every point of the spatial model of Miocene complex. The results show high correlation of seismic attributes and petrophysical properties of the data from the area of Góra Ropczycka–Iwierzyce 3D seismic project. On the basis of all available reservoir information, geobodies have been extracted. Petropysical model prediction is fundamental in understanding clastic reservoirs and should be used for prospect identification.
    Źródło:
    Przegląd Geologiczny; 2014, 62, 12; 848--851
    0033-2151
    Pojawia się w:
    Przegląd Geologiczny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wstępne wyniki modelowań przestrzennych (3D) parametrów petrofizycznych skał podczas poszukiwań stref występowania gazu zamkniętego w polskim basenie czerwonego spągowca
    Preliminary results of 3D modeling of petrophysical parameters for tight gas prospecting in the Polish Rotliegend Basin
    Autorzy:
    Papiernik, B.
    Górecki, W.
    Pasternacki, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2074766.pdf
    Data publikacji:
    2010
    Wydawca:
    Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
    Tematy:
    model 3D
    modelowanie facji
    model petrofizyczny
    gaz zamknięty
    czerwony spągowiec
    3D model
    facies modeling
    petrophysical modeling
    tight gas
    Rotliegend
    Opis:
    The Rotliegend Basin is filled with terrigenic complex over 1200 m in thickness. The complex comprises sediments of eolian, fluvial and playa depositional systems (Fig. 1). Reservoir volume of the pore space accessible for the reservoir media is ca. 830-990 km3. Gas exploration in this stratigraphic unit is now focused at depths of around 3000-3800 m b.s.l., in the near-top zone. Poor reservoir properties, especially permeabilities, are here the limiting factor for conventional exploration. A change in the prospecting strategy to comprise tight gas targets moves research into the deeper zone covering the whole profile of the Rotliegend. The paper presents preliminary results of 3D modeling of lithofacies and related petrophysical parameters variability. The static model was created with the use of Petrel 2009.2. Structural framework was built using regional structural, isopach and facies maps. It was relatively detailed, comprising 9 576 000 cells organized in 3 zones and 60 layers. To estimate facies model, the authors used results of integrated environmental analysis of core data and logs from 117 wells (Fig. 2 ). Models of clay content (Vsh) and porosity (PHI) were based on logs from 75 wells. The obtained results show that the northern margin of the Eastern Erg is characterized by presence of numerous eolian strata with porosity ranging from 5 to 15%. Their quality, quantity and thickness decrease toward the north, along with increase in depth. Modeling results indicate that the dominating porous layers of eolian sandstones and fluvial inserts are often intercalated with "non-reservoir" layers revealing porosity below 5%. In this zone, a deeper part of the Rotliegend section should be investigated more thoroughly (Fig. 5, 6, 9). The Pomeranian sector of the Central Basin is dominated by playa and fluvial sediments (Fig. 7, 8, 10). Slightly clayey eolian strata make a few, laterally discontinuous intercalations. Gas accumulations could be expected within local, laterally confined interlayers of eolian and fluvial sandstones with porosity of around 5-12%. Due to the location in the near-base part of the Rotliegend section, close to Carboniferous source rocks, they may be filled with gas, forming so-called sweet spots. Probability of gas occurrence in Pomerania is high as indicated by the Międzyzdroje gas field or small accumulation found in Piaski-PIG2 well. The presented preliminary study allowed to test usability of 3D modeling in tight gas prospecting. Fully reliable results will be obtained after increasing precision of the models comprising detailed seismic interpretation, the use of seismic attributes, and inclusion of quantitative data in diagenetic processes and sedimentology of layers in the modeling process.
    Źródło:
    Przegląd Geologiczny; 2010, 58, 4; 352-364
    0033-2151
    Pojawia się w:
    Przegląd Geologiczny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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