• DocumentCode
    2433064
  • Title

    Detection of deep reservoir via various frequencies in CSEM survey

  • Author

    Jamal, Muhammad Ridhwan ; Zaid, Hasnah Mohd ; Yahya, Noorhana ; Shafie, Afza

  • Author_Institution
    Dept. of Electr. & Electron. Enginnering, Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2012
  • fDate
    7-8 April 2012
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    A new exploration technology, called Seabed Logging (SBL) method has been developed to detect the location of hydrocarbon beneath seabed using Electromagnetic (EM) wave. Although this method has been able to detect reservoir up to 1000 m deep, it is less effective on the detection of deeper reservoir. This paper discusses the effectiveness of SBL method for the detection of deep hydrocarbon reservoir using various frequencies of EM wave via Computer Simulation Technology (CST) software. Simulation using CST software was conducted to determine the Magnitude of EM wave Versus Offset (MVO) for various depth of target and various EM frequencies. The simulation result shows that less effective results were shown in deep target when high frequency EM was used due to the attenuation of the waves as it reflected from the target. It was observed that while high frequency EM is able to detect shallow reservoirs, low frequency EM is more effective for deeper targets beneath the seabed.
  • Keywords
    hydrocarbon reservoirs; CSEM survey; CST software; Computer Simulation Technology; EM frequencies; EM wave Versus Offset; Seabed Logging method; deep hydrocarbon reservoir; deep reservoir detection; deeper reservoir detection; electromagnetic wave; hydrocarbon location; wave attenuation; Conductivity; Electromagnetics; Hydrocarbons; Receivers; Reservoirs; Skin; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Engineering and Industrial Applications Colloquium (BEIAC), 2012 IEEE
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-0425-2
  • Type

    conf

  • DOI
    10.1109/BEIAC.2012.6226104
  • Filename
    6226104