• Title of article

    Semantic image interpretation of gamma ray profiles in petroleum exploration

  • Author/Authors

    Fiorini، نويسنده , , Sandro Rama and Abel، نويسنده , , Mara and Scherer، نويسنده , , Claiton M.S.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    11
  • From page
    3724
  • To page
    3734
  • Abstract
    This paper presents the S-Chart framework, an approach for semantic image interpretation of line charts; and the InteliStrata system, an application for semantic interpretation of gamma ray profiles. The S-Chart framework is structured as a set of knowledge models and algorithms that can be instantiated to accomplish chart interpretation in all sorts of domains. The knowledge models are represented in three semantic levels and apply the concept of symbol grounding in order to map the representation primitives between the levels. The interpretation algorithms carry out the interaction between the high-level symbolic reasoning, and the low-level signal processing. In order to demonstrate the applicability of the S-Chart framework, we developed the InteliStrata system, an application in Geology for the semantic interpretation of gamma ray profiles. Using the developed application, we have interpreted the charts of two gamma ray profiles captured in petroleum exploration wells, indicating the position of stratigraphic sequences and maximum flooding surfaces. The results were compared with the interpretation produced by an experienced geologist using the same data input. The system carried out interpretation that were compatible with the geologist interpretation over the data. Our framework has the advantage of allowing the integration of existing domain ontologies with domain independent visual knowledge models and also the ability of grounding domain concepts in low-level data.
  • Keywords
    Semantic image interpretation , visual knowledge , Symbol grounding problem , Stratigraphy , Gamma ray well log , Ontology
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2011
  • Journal title
    Expert Systems with Applications
  • Record number

    2349031