<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-0283</journal-id>
<journal-title><![CDATA[Boletín de Geología]]></journal-title>
<abbrev-journal-title><![CDATA[Bol. geol.]]></abbrev-journal-title>
<issn>0120-0283</issn>
<publisher>
<publisher-name><![CDATA[Universidad Industrial de Santander]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-02832021000200143</article-id>
<article-id pub-id-type="doi">10.18273/revbol.v43n2-2021008</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[3D Seismic stratigraphy applied to lithology estimation in a deltaic system]]></article-title>
<article-title xml:lang="es"><![CDATA[Estratigrafía sísmica 3D aplicada a la estimación de litología en un sistema deltaico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Illidge]]></surname>
<given-names><![CDATA[Erick Johan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Camargo]]></surname>
<given-names><![CDATA[Jorge Leonardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pinto-Valderrama]]></surname>
<given-names><![CDATA[Jorge]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Industrial de Santander  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Industrial de Santander  ]]></institution>
<addr-line><![CDATA[Bucaramanga ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<volume>43</volume>
<numero>2</numero>
<fpage>143</fpage>
<lpage>162</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-02832021000200143&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-02832021000200143&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-02832021000200143&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Seismic stratigraphy becomes a useful tool when it comes to 3D lithology distribution, since it gives the interpreter insights of the facies most likely to be present in a certain sedimentary environment. On the other hand, it is also the main input information while modeling petrophysical properties like water saturation, effective porosity and permeability, which are critical in the process of evaluation of a hydrocarbon reservoir. In this context, techniques such as seismic inversion allows the geoscientists to get 3D models of P-impedance, S-impedance and density, which are used as the main input to estimate the reservoir petrophysical properties just mentioned and additionally useful parameters used as a lithology indicator. This paper proposes a workflow to achieve the goal of integrating seismic stratigraphy, seismic inversion and attributes to get a lithology 3D model. Now, to get a suitable correlation between the facies interpreted using well logs and core data with the elastic properties, rock physic templates (RPT&#8217;s) were made where proper elastic modulus was carefully chosen to define probability distribution functions (PDF&#8217;s) for each facies defined in the correlation wells. On the other hand, based on a set of stratigraphic surfaces created on a different study, 3D models of P-impedance, S-impedance and density were obtained from seismic inversion so that the RPT&#8217;s could be built. For this specific instance, only a set of the elastic properties and seismic attributes offered a suitable correlation with the facies defined in the calibration wells. Moreover, the probability distribution functions (PDF&#8217;s) already generated allowed the distribution in 3D and the definition of the ranges in which each facies previously stated varies for the elastic modulus estimated.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La estratigrafía sísmica es una herramienta útil a la hora de generar modelos 3D de litología, ya que provee al intérprete conocimiento de las facies más probables a existir en un ambiente sedimentario dado. Por otro lado, la estratigrafía sísmica es también uno de los datos de entrada principales durante el modelado petrofísico de propiedades como la saturación de agua, porosidad efectiva y permeabilidad, las cuales son críticas en el proceso de evaluación de un yacimiento de hidrocarburos. En este orden de ideas, técnicas tales como la inversión sísmica permiten a los geocientíficos obtener modelos 3D de impedancia acústica, impedancia de corte y densidad, los cuales son usados como dato de entrada para estimar las propiedades petrofísicas del yacimiento mencionadas y adicionalmente como indicadores de litología. Este artículo propone un flujo de trabajo para lograr integrar la estratigrafía sísmica, inversión y atributos sísmicos para obtener como resultado un modelo 3D de litología. Ahora, para obtener una correlación apropiada entre las facies interpretadas usando registros de pozo e información de núcleos con las propiedades elásticas, correlaciones de física de rocas (RPT&#8217;s) fueron implementadas obteniendo como resultado la selección de los módulos elásticos apropiados para definir funciones de distribución de probabilidad (PDF&#8217;s) para cada una de las facies definidas en los pozos de correlación. Por otra parte, basado en un grupo de superficies estratigráficas creadas en otro estudio, modelos 3D de impedancia acústica, impedancia de corte y densidad fueron creados a partir de inversión sísmica de tal modo que los RPT&#8217;s se pudieran construir. Para este ejemplo en particular, únicamente un grupo de propiedades elásticas y atributos sísmicos presentaron una correlación apropiada con las facies definidas en los pozos de correlación. Adicionalmente, las funciones de distribución de probabilidad (PDF&#8217;s) ya definidas permitieron la distribución en 3D y la definición de los rangos en los cuales cada una de las facies anteriormente definidas varían para los módulos elásticos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Seismic stratigraphy]]></kwd>
<kwd lng="en"><![CDATA[Seismic attributes]]></kwd>
<kwd lng="en"><![CDATA[Well logs]]></kwd>
<kwd lng="en"><![CDATA[Facies.]]></kwd>
<kwd lng="es"><![CDATA[Estratigrafía sísmica]]></kwd>
<kwd lng="es"><![CDATA[Atributos sísmicos]]></kwd>
<kwd lng="es"><![CDATA[Registros de pozo]]></kwd>
<kwd lng="es"><![CDATA[Facies.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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