مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

177
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

92
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Seminar Paper

Title

SYNTHETIC CHANNEL BOUNDARY DETECTION USING CLASSIC AND MULTI-SCALE METHODS

Pages

  -

Abstract

 FROM HYDROCARBON EXPLORATION POINT OF VIEW, CHANNELS ARE AMONG THE IMPORTANT GEOLOGICAL PHENOMENA. IT IS POSSIBLE TO IMAGE CHANNELS IN TIME SLICES AFTER THE ADVENT OF 3D SEISMIC TECHNOLOGY. HOWEVER, MOST OF THE TIME, CHANNELS CANNOT BE EASILY DETECTED FROM ORIGINAL SEISMIC DATA BECAUSE OF STRUCTURAL COMPLEXITIES. IN THIS STUDY, CLASSIC OPERATORS OF IMAGE PROCESSING INCLUDING SOBEL AND CANNY ARE APPLIED TO A SYNTHETIC TIME SECTION OF A CHANNEL MODEL WITH AND WITHOUT ADDITIVE RANDOM NOISE TO DETECT CHANNEL BOUNDARIES. MOREOVER, LAPLACIAN PYRAMID AS A MULTI-SCALE DECOMPOSITION ALGORITHM IS USED TO DETECT CHANNEL BOUNDARIES AT DIFFERENT SCALES. SOBEL OPERATOR FAILS TO DETECT CHANNEL BOUNDARIES IN THE PRESENCE OF RANDOM NOISE. APPLYING CANNY OPERATOR WITH ITS DEFAULT PARAMETERS DETECT HIGH FREQUENCY RANDOM NOISE AS EDGES. LAPLACIAN PYRAMID AT THE FINEST DECOMPOSITION SCALE PROVIDES SUFFICIENT RESOLUTION FOR CHANNEL BOUNDARY DETECTION EVEN IN THE PRESENCE OF ADDITIVE RANDOM NOISE.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Karbala ali, Haleh, JAVAHERIAN, ABDOLRAHIM, Keshavarz FarajKhah, Nasser, & TORABI, SIAVASH. (2016). SYNTHETIC CHANNEL BOUNDARY DETECTION USING CLASSIC AND MULTI-SCALE METHODS. IRANIAN GEOPHYSICS CONFERENCE. SID. https://sid.ir/paper/925297/en

    Vancouver: Copy

    Karbala ali Haleh, JAVAHERIAN ABDOLRAHIM, Keshavarz FarajKhah Nasser, TORABI SIAVASH. SYNTHETIC CHANNEL BOUNDARY DETECTION USING CLASSIC AND MULTI-SCALE METHODS. 2016. Available from: https://sid.ir/paper/925297/en

    IEEE: Copy

    Haleh Karbala ali, ABDOLRAHIM JAVAHERIAN, Nasser Keshavarz FarajKhah, and SIAVASH TORABI, “SYNTHETIC CHANNEL BOUNDARY DETECTION USING CLASSIC AND MULTI-SCALE METHODS,” presented at the IRANIAN GEOPHYSICS CONFERENCE. 2016, [Online]. Available: https://sid.ir/paper/925297/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button