Lithology and porosity heterogeneity prediction using multiple seismic attributes on 3-d surveys: an example from Edim oil field, Niger delta

  • Authors

    • Peter Ayomide Alao Department of Geology, Institute of Earth and Environmental Sciences, University of Freiburg, Germany
    • Solomon Olabode Department of Applied Geology, Federal University of Technology Akure Rank: Sub-Dean, School of Earth and Mineral Sciences Postal Address: P.M.B. 704, Akure, Ondo State.
    • Ernest Chibugo Nwoke School of Earth, Atmospheric and Environmental Sciences, The University of Manchester, United Kingdom Oxford Rd, Manchester, Greater Manchester M13 9PL, United Kingdom
    • Abubakar Ata Department of Geology, University of Malaya Kuala Lumpur, Malaysia. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
  • This research work presents the result of integrating three-dimensional (3-D) seismic attributes and log data to determine rock property (porosity and lithology) distribution of cretaceous-aged sandstones from Edim field, in the Niger Delta. The rocks are composed of thick sandstones which are resolvable in the seismic sections and possessing good petrophysical attributes for consideration as economic reservoirs. The method used was to invert the seismic data to elastic rock properties and then interpret these rock properties in terms of reservoir properties. Three seismic attributes which are considered important in exploration for fault-related reservoirs was employed. This study explores the stratigraphy and structure of the reservoir using 3-D seismic data and multiple seismic attributes to predict porosity and the net-to-gross. By predicting porosity and lithology using seismic attributes, lateral distributions of porosity that can be used to guide development and exploration drilling for optimal hydrocarbon recovery were obtained. The sites of highest porosity and net-to-gross were found to be along and within the fault zones. This study has indicated a close relationship between faulting and reservoir development by examining relationships using 3-D seismic data. Methods and results presented in this study can be used to explore and develop fault-related reservoirs in the Niger Delta and other similar geologic settings.


    Keywords: Porosity, lithology, net-to-gross, predict, seismic attribute, Niger delta.

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  • How to Cite

    Alao, P. A., Olabode, S., Nwoke, E. C., & Ata, A. (2014). Lithology and porosity heterogeneity prediction using multiple seismic attributes on 3-d surveys: an example from Edim oil field, Niger delta. International Journal of Advanced Geosciences, 2(1), 1-7.