Petrophysical Analysis of Well Logs for the Estimation of Oil Reserves in Southern Niger Delta

  • Authors

    • Paul S S University of Uyo
    • Okwueze . University of Calabar
    • E E University of Uyo
    • Udo K I
    2018-06-12
    https://doi.org/10.14419/ijag.v6i1.11815
  • Petro Physical Parameters, Hydrocarbon Reserve, Well Logs, Volumetric Method.

  • Abstract

    Gamma Ray log, Resistivity log, Density log, Micro-spherical focus log (MSFL), Deep Induction log (ILD) , Medium Induction log(ILM) and Spontaneous Potential (SP) log were collected for 2 wells in onshore Niger Delta. These insitu well logs were analyzed and interpreted. Porosity, permeability, water saturation, reservoir thickness and Shale volume were estimated for each hydrocarbon bearing zone delineated for each well. The parameters obtained were further analyzed and interpreted quantitatively to estimate the hydrocarbon potentials of each well. Twelve reservoir zones of interest (sand bodies) were delineated, correlated across the field and were ranked using average results of petrophysical parameters. In well one, Reservoirs E and F were identified as the thickest with 41ft each while reservoir A is the smallest in thickness (30ft). Petrophysical properties of hydrocarbon bearing zones delineated in well one ranged from 17.81% to 23.20% for porosity, 1292.09mD to 2018.17mD for permeability and 56.40% to 68.40% for hydrocarbon saturation compared to well 2 with 14.67% to 19.52% for porosity, 1211.61mD to1843.11mD for permeability and 51.80% to 66.40% for hydrocarbon saturation. The estimated averages of petrophysical properties for well one are 20.14% porosity, 1643.65mD permeability, 63.20% hydrocarbon saturation compared to well 2 with 15.55% porosity, 1582.58mD permeability and 61.93% hydrocarbon saturation. Results show 148.45MMBB and 145.91MMBB as oil reserve (Recoverable) for the field. From the results obtained, well one is likely to be more productive than well [2] and the field has exploitable oil in place.

     

     

  • References

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  • How to Cite

    S S, P., ., O., E, E., & K I, U. (2018). Petrophysical Analysis of Well Logs for the Estimation of Oil Reserves in Southern Niger Delta. International Journal of Advanced Geosciences, 6(1), 145-150. https://doi.org/10.14419/ijag.v6i1.11815

    Received date: 2018-04-21

    Accepted date: 2018-05-19

    Published date: 2018-06-12