Prediction of Lamination Patterns in Heterolithic Sedimentary Sequence, Offshore Sarawak (Malaysia)

  • Yasir AliEmail author
  • Eswaran Padmanabhan
Conference paper
Part of the Advances in Science, Technology & Innovation book series (ASTI)


This paper aimed at predicting spatio-temporal variations and new lamination patterns based on available core samples and core images. For this purpose, a scan line method was applied on core photographs showing heterolithic laminations to generate a signal. Then, the generated signal from the scan line was analyzed and interpreted as time series data that can be used in many applications. Samples were taken from different depths to reflect the temporal or vertical variations, and their signal data were compiled into one continuous time series. A new pattern of sedimentary structures represented by new signal data was identified and was converted back into sedimentary structures. The predicted pattern varies in space and depth, and therefore, represents variations on both spatial and temporal bases. The study is therefore significant as the prediction of different patterns can provide information on the depositional environment, paleogeography, and petrophysical properties.


Scan line method Signal analysis Spatio-temporal variations Heterolithic sequences 


  1. 1.
    Ndiaye, M.: A Multipurpose Software for Stratigraphic Signal Analysis (2007). Retrieved 2014, from
  2. 2.
    Francus, P.: Image Analysis, Sediments and Paleoenvironments. Springer Science + Business Media, Inc. (2005)Google Scholar
  3. 3.
    Prokoph, A., Patterson, R.T.: From depth scale to time scale: transforming sediment image color data into a high-resolution time series. In: Image Analysis, Sediments and Paleoenvironments, vol. 7, pp. 143–164 (2004)Google Scholar
  4. 4.
    Prokoph, A.: From depth scale to time scale: transforming sediment image color data into a high-resolution time series. In: Prokoph, A. (ed.) Image Analysis, Sediments and Aleoenvironments, p. 340 (2004)Google Scholar
  5. 5.
    Hutchison, C.S.: Geology of North–West Borneo: Sarawak, p. 404. Brunei and Sabah (2005)Google Scholar
  6. 6.
    Dronamraju, S.V., Koraini, A.M., Zakaria, A.A., Finol, J.J.: Constraining geological heterogeneity in complex reservoirs: implications for stochastic modeling and reservoir management. In: Proceedings of SPE Asia Pacific Oil and Gas Conference and Exhibition (2005)Google Scholar
  7. 7.
    Shell, GMDH.: GMDH Shell. Available at Last accessed (2015)
  8. 8.
    Ndiaye, M., Davaud, E.J., Ariztegui, D., Fall, M.: Semi automated method for laminated sediments analysis. Int. J. Geosci. 3, 206–210 (2012)Google Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Red Sea UniversityPort SudanSudan
  2. 2.University Teknologi PetronasTronohMalaysia

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