<?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>0124-2253</journal-id>
<journal-title><![CDATA[Revista científica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Cient.]]></abbrev-journal-title>
<issn>0124-2253</issn>
<publisher>
<publisher-name><![CDATA[Universidad Distrital Francisco José de Caldas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0124-22532018000100032</article-id>
<article-id pub-id-type="doi">10.14483/23448350.12513</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Simulación de áreas de alta consecuencia para gasoductos]]></article-title>
<article-title xml:lang="en"><![CDATA[Simulation of high consequence areas for gas pipelines]]></article-title>
<article-title xml:lang="pt"><![CDATA[Simulação de áreas de alta consequência para gasodutos]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz-Parra]]></surname>
<given-names><![CDATA[Orlando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vera-López]]></surname>
<given-names><![CDATA[Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Pedagógica y Tecnológica de Colombia  ]]></institution>
<addr-line><![CDATA[Tunja ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Pedagógica y Tecnológica de  ]]></institution>
<addr-line><![CDATA[Tunja ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2018</year>
</pub-date>
<numero>31</numero>
<fpage>32</fpage>
<lpage>44</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0124-22532018000100032&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0124-22532018000100032&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0124-22532018000100032&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El gasoducto es utilizado para el transporte de gas natural a gran distancia. Los riesgos derivados del manejo de un material combustible transportado a alta presión por conducciones que pasan cerca del lugar donde habitan personas hace necesario que se adopten medidas de prevención, mitigación y control para disminuir el efecto en caso de ignición de una fuga de gas. En este trabajo se muestra el desarrollo de un nuevo modelo matemático para determinar áreas de alta consecuencia y su aplicación mediante software de amplia disponibilidad y fácil manejo, como lo son Google Earth y Excel, para determinar y visualizar el área en la cual el nivel de radiación puede afectar la integridad de las personas y las edificaciones. El modelo tiene en cuenta la caída de presión al interior del gasoducto a partir de la estación de compresión, el índice de escape de gas y las formas posibles de ignición del gas. Este desarrollo se constituye en una alternativa ante el uso de software especializado y personal altamente capacitado. La simulación se aplica a un trazado del gasoducto Miraflores-Tunja utilizando una macro desarrollada en Excel para determinar el área de impacto y compararla con las coordenadas de las áreas vulnerables. Las zonas en las que se intersectan se constituyen en áreas de alta consecuencia y se identifican junto con los tramos del gasoducto que las afectan para entregar al operador una herramienta de análisis de riesgo para la determinación y visualización del gasoducto y su entorno.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The gas pipeline is used for the transport of natural gas at a great distance. Risks derived from the handling of a combustible material transported under high pressure, by pipelines that pass close to where people live, makes it necessary to adopt prevention, mitigation and control measures to reduce the effect in case of ignition of a gas leak. This work shows the development of a new mathematical model to determine areas of high consequence and their application, using widely available and easy to use software, such as Google Earth and Excel, to determine and visualize the area up to which the level of radiation can affect the integrity of people and buildings. The model take into account the pressure drop into the gas pipeline from the compression station, the gas leakage rate and possible forms of gas ignition. This development is an alternative to the use of specialized software and highly trained personnel. The simulation is applied to a traced of the Miraflores-Tunja gas pipeline, using a macro developed in Excel to determine the impact area and compare it with the coordinates of the vulnerable areas. The zones where these areas intersect are constituted in high consequence areas and are identified along with the sections of the pipeline that affect them, to provide the operator with an risk analysis tool for the determination and visualization of the gas pipeline and its environment.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo O gasoduto é usado para o transporte de gás natural a uma grande distância. Os riscos derivados do manuseio de um material combustível transportado sob alta pressão, por condutas que passam perto de onde as pessoas vivem, torna necessário adotar medidas de prevenção, mitigação e controle para reduzir o efeito em caso de ignição de vazamento de gás. Este trabalho mostra o desenvolvimento de um novo modelo matemático para determinar áreas de alta conseqüência e sua aplicação usando um software amplamente disponível e fácil de usar, como Google Earth e Excel, para determinar e visualizar a área até a qual o nível de pode afetar a integridade de pessoas e edifícios. O modelo leva em consideração a queda de pressão a partir da estação de compressão, a taxa de escape de gás e as possíveis formas de ignição do gás. Este desenvolvimento é uma alternativa ao uso de software especializado e pessoal altamente treinado. Simulação é aplicada a uma rota do gasoduto Miraflores-Tunja, usando uma macro desenvolvida no Excel para determinar a área de impacto e compará-la com as coordenadas das áreas vulneráveis. Nas áreas onde essas áreas se cruzam constituem as áreas de alta conseqüência e são identificados juntamente com os trechos do gasoduto que os afetam, para fornecer ao operador uma ferramenta de análise de risco para a determinação e visualização do gasoduto e seu arredores.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis de riesgo]]></kwd>
<kwd lng="es"><![CDATA[áreas de alta consecuencia]]></kwd>
<kwd lng="es"><![CDATA[gasoducto]]></kwd>
<kwd lng="es"><![CDATA[gas natural]]></kwd>
<kwd lng="es"><![CDATA[integridad]]></kwd>
<kwd lng="es"><![CDATA[simulación.]]></kwd>
<kwd lng="en"><![CDATA[gas pipelines]]></kwd>
<kwd lng="en"><![CDATA[high consequence areas]]></kwd>
<kwd lng="en"><![CDATA[integrity]]></kwd>
<kwd lng="en"><![CDATA[natural gas]]></kwd>
<kwd lng="en"><![CDATA[risk analysis]]></kwd>
<kwd lng="en"><![CDATA[simulation]]></kwd>
<kwd lng="pt"><![CDATA[análise de risco]]></kwd>
<kwd lng="pt"><![CDATA[áreas de alta conseqüência]]></kwd>
<kwd lng="pt"><![CDATA[gasoduto]]></kwd>
<kwd lng="pt"><![CDATA[gás natural]]></kwd>
<kwd lng="pt"><![CDATA[integridade]]></kwd>
<kwd lng="pt"><![CDATA[simulação]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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