• Repositorio Institucional Universidad de Pamplona
  • Trabajos de pregrado y especialización
  • Facultad de Ciencias Básicas
  • Geología
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    dc.contributor.authorCalderón Nieves, Marcelo Amado-
    dc.date.accessioned2022-07-25T20:57:36Z-
    dc.date.available2018-09-19-
    dc.date.available2022-07-25T20:57:36Z-
    dc.date.issued2018-
    dc.identifier.citationCalderón Nieves, M. A. (2018). Análisis de atributos sísmicos para identificación de geoformas y ambientes de depositación: Caso de estudio Caribe Colombiano [Trabajo de Grado Pregrado, Universidad de Pamplona]. Repositorio Hulago Universidad de Pamplona. http://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/2418es_CO
    dc.identifier.urihttp://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/2418-
    dc.descriptionEl objetivo principal de este trabajo consistió en investigar los atributos y parámetros más eficaces para lograr una mejor interpretación en los datos sísmicos, identificación de superficies, geoformas y ambientes, a partir de la revisión bibliográfica, metodologías propuesta por diversos trabajos y mediante la consulta a los expertos. Se partió de los datos obtenidos en el Instituto Colombiano del Petróleo (ICP) y utilizando el software libre Opendtect. Se realizó una comparación entre los datos picados en la sísmica y la batimetría, se notó una mejor resolución en la sísmica. También se buscaron imágenes de radar, para realizar la comparación en el paleohorizonte H1, pero las imágenes de radar no resultaron eficientes para el propósito de la investigación. Se analizó en la bibliografía recolectada sobre atributos sísmicos y en el software Opendtect se revisaron los atributos que contiene este programa, se probaron 25 atributos en los datos sísmicos obtenidos del Instituto Colombiano del Petróleo (ICP), se seleccionaron los atributos pertinentes para esta investigación. Se realizaron identificaciones previas en los datos sísmicos para poder hacer una comparación con las identificaciones realizadas en los datos ya procesados con atributos sísmicos y se notan una mejoría en la identificación post procesado, también se resalta la identificación de anomalías estructurales y estratigráfica en los datos sísmicos.es_CO
    dc.description.abstractThe main objective of this research work was to investigate the most effective attributes and parameters in order to reach a better interpretation in the seismic data, identification of surfaces, geoforms and environments, starting with the bibliographic review of methodologies proposed by different investigators and by consulting the experts. It was based on data obtained from the Colombian Petroleum Institute (ICP) and using the free software Opendtect. A comparision bewteen chopped data in the seismic and the barimetry was done, and it showed a better resolution in the seismic. Also, it looked radar images for the purpose of do a comparision in the palehorizon H1, but these radar images weren’t efficient for the goal of the investigation. Seismic attributes’ bibliography collected was analized; in Opendtect software the attributes contained on it were reviewed and 25 attributes were tested in the seismic data obtained from the Colombian Petroleum Institute (ICP), the relevant attributes were selected for this investigation. Previous identifications in the seismic data were done in order to compare them in data already processed with seismic attributes. An improvement in post-processed identification is noticed and the identification of structural and stratigraphic anomalies in the seismic data is also highlighted.es_CO
    dc.format.extent77es_CO
    dc.format.mimetypeapplication/pdfes_CO
    dc.language.isoeses_CO
    dc.publisherUniversidad de Pamplona – Facultad de Ciencias Básicas.es_CO
    dc.subjectEl autor no proporciona contenido o información para ese apartadoes_CO
    dc.titleAnálisis de atributos sísmicos para identificación de geoformas y ambientes de depositación: Caso de estudio Caribe Colombiano.es_CO
    dc.typehttp://purl.org/coar/resource_type/c_7a1fes_CO
    dc.date.accepted2018-06-19-
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    dc.type.coarversionhttp://purl.org/coar/resource_type/c_2df8fbb1es_CO
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