Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Intelligent sequence stratigraphy through a wavelet-based decomposition of well log data

    250243.pdf (1.662Mb)
    Access Status
    Open access
    Authors
    Kadkhodaie, Ali
    Rezaee, M. Reza
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Kadkhodaie, A. and Rezaee, M.R. 2017. Intelligent sequence stratigraphy through a wavelet-based decomposition of well log data. Journal of Natural Gas Science and Engineering. 40: pp. 38-50.
    Source Title
    Journal of Natural Gas Science and Engineering
    DOI
    10.1016/j.jngse.2017.02.010
    School
    Department of Petroleum Engineering
    URI
    http://hdl.handle.net/20.500.11937/50366
    Collection
    • Curtin Research Publications
    Abstract

    Identification of sequence boundaries is an important task in geological characterization of gas reservoirs. In this study, a continuous wavelet transform (CWT) approach is applied to decompose gamma ray and porosity logs into a set of wavelet coefficients at varying scales. A discrete wavelet transform (DWT) is utilized to decompose well logs into smaller frequency bandwidths called Approximations (A) and Details (D). The methodology is illustrated by using a case study from the Ilam and upper Sarvak formations in the Dezful embayment, southwestern Iran. Different graphical visualization techniques of the continuous wavelet transform results allowed a better understanding of the main sequence boundaries. Using the DWT, maximum flooding surface was successfully recognised from both highest frequency and low frequency contents of signals. There is a sharp peak in all A&D corresponding to the maximum flooding surface (MFS), which can specifically be seen in fifth Approximation (a5), fifth Detail (d5), fourth Detail (d4) and third Detail (d3) coefficients. Sequence boundaries were best recognised from the low frequency contents of signals, especially the fifth Approximation (a5). Normally, the troughs of the fifth Approximation correspond to sequence boundaries where higher porosities developed in the Ilam and upper Sarvak carbonate rocks. Through hybridizing both CWT and DWT coefficient a more effective discrimination of sequence boundaries was achieved. The results of this study show that wavelet transform is a successful, fast and easy approach for identification of the main sequence boundaries from well log data. There is a good agreement between core derived system tracts and those derived from decomposition of well logs by using the wavelet transform approach.

    Related items

    Showing items related by title, author, creator and subject.

    • Fracture detection from water saturation log data using a Fourier-wavelet approach
      Tokhmechi, B.; Memarian, H.; Rasouli, Vamegh; Noubari, H.; Moshiri, B. (2009)
      Fracture detection as applied to reservoir characterization is a key step towards modeling of fracturedreservoirs. While different methods have been proposed for detection and characterization of fractures and fractured ...
    • Reducing the dimensionality of hyperspectral remotely sensed data with applications for maximum likelihood image classification
      Santich, Norman Ty (2007)
      As well as the many benefits associated with the evolution of multispectral sensors into hyperspectral sensors there is also a considerable increase in storage space and the computational load to process the data. ...
    • Application of the continuous wavelet transform on seismic data for mapping of channel deposits and gas detection at the CO2 SINK site, Ketzin, Germany
      Kazemeini, S.; Juhlin, Christopher; Zinck-Jørgensen, K.; Norden, B. (2009)
      Conventional seismic data are band limited and therefore, provide limited geological information. Every method that can push the limits is desirable for seismic data analysis. Recently, time-frequency decomposition methods ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.