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  <controlfield tag="008">260224s        xxu                 esp  </controlfield>
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    <subfield code="a">Espa&#xF1;ol</subfield>
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    <subfield code="a">068.82 553.28 C62 2018 0015644</subfield>
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  <datafield tag="245" ind1="0" ind2="0">
    <subfield code="a">Atributos de la diferencia de angle stacks como indicadores de gas</subfield>
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  <datafield tag="270" ind1=" " ind2=" ">
    <subfield code="a">30/06/2022 ; 21/02/2019</subfield>
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  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">13 p. ; 435-448</subfield>
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    <subfield code="a">It&amp;#x92;s well known that when a seismic wave propagates through Earth&amp;#x92;s interior, its energy diminishes due to spherical divergence, scattering, intrinsic absorption and reflection at interfaces where there are changes in the rock properties. There are a variety of factors such as geological structure, layer thickness, lithology, and pore fluid properties that affect the amplitude and frequency of the reflected seismic wave. Once the wave field returns to the surface, it also brings back the information related to stratigraphic features, rock property changes and hydrocarbon accumulations.The Amplitude Variation with Offset (AVO) has been widely used in the oil industry as a tool to predict gas presence. Because of that it is common nowadays to have a set of 3D data processed as Near-Middle-Far Angle/Offset Stack that allow a better picture of the AVO information in the seismic data.The present work shows an effective predictive tool that uses the amplitude and frequency content of the partial angle stack difference to detect gas accumulations zones.We are going to show the evolution of a simple workflow with which, once verified the feasibility of the use of the partial angle stack datasets we&amp;#x92;ll be able to generate two seismic cubes, the Root Mean Square (RMS) Amplitude and the Instantaneous Frequency of the Far Angle and Near Angle Stack difference. After that we use cross plot that let us correlate ranges of RMS Amplitude and Instantaneous Frequency with the wells&amp;#x92;s petrophysics and obtain geobodies containing the same reservoir characteristics than the wells used as input to the model.Finally we are going to show the results of three wells drilled in the North Flank of Cuenca del Golfo San Jorge whose proposals where based in this methodology as a predictive tool to find reservoirs with commercial quantities of gas.</subfield>
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    <subfield code="c">CONGTP</subfield>
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  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Van Haaster, Christian J.J.</subfield>
    <subfield code="9">653</subfield>
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    <subfield code="a">Simposio de Geof&#xED;sica (2018 nov. 5 - 9 : Mendoza)</subfield>
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    <subfield code="a">Gas</subfield>
    <subfield code="9">654</subfield>
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  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Cuenca del Golfo San Jorge</subfield>
    <subfield code="9">655</subfield>
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  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Formaci&#xF3;n D129</subfield>
    <subfield code="9">656</subfield>
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    <subfield code="c">128404</subfield>
    <subfield code="d">128404</subfield>
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  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://biblioteca.iapg.org.ar/ArchivosAdjuntos/Conexplor2018/SGeof/1684.pdf</subfield>
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    <subfield code="9">199326</subfield>
    <subfield code="a">BVIAPG</subfield>
    <subfield code="b">BVIAPG</subfield>
    <subfield code="c">068.82 553.28 C62 2018 0015644</subfield>
    <subfield code="d">2026-03-02</subfield>
    <subfield code="j">200064901</subfield>
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    <subfield code="o">068.82 553.28 C62 2018 0015644</subfield>
    <subfield code="p">200064901</subfield>
    <subfield code="r">2026-03-02 23:26:22</subfield>
    <subfield code="w">2026-03-02</subfield>
    <subfield code="y">ARCHIVO</subfield>
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