• Title of article

    Total organic carbon content determined from well logs using ΔLogR and Neuro Fuzzy techniques

  • Author/Authors

    Kamali، نويسنده , , Mohammad Reza and Allah Mirshady، نويسنده , , Ahad، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    8
  • From page
    141
  • To page
    148
  • Abstract
    Total organic carbon (TOC) content present in potential source rocks significantly affects the response of several types of well logs. Wireline logs can be used to identify source rocks and serve as an indicator for the source rock potential. Because the source rock intervals generally show a lower density, higher sonic transit time, higher porosity and higher resistivity than other sedimentary layers, these phenomena can be used to identify source rocks on wireline logs. This paper attempts to establish a quantity correlation between standard well logs (sonic, density, neutron and resistivity) and total organic carbon by means of two techniques, namely, using ΔLogR and then using Neuro Fuzzy. Two pilot wells “A” and “B”, through Pabdeh and Gurpi formations in the Dezful Embayment, were selected for this study.
  • Keywords
    ?LogR , Total organic carbon content , Neuro fuzzy
  • Journal title
    Journal of Petroleum Science and Engineering
  • Serial Year
    2004
  • Journal title
    Journal of Petroleum Science and Engineering
  • Record number

    2218492