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Application of prestack Poisson dampening factor and Poisson impedance inversion in sand quality and lithofacies discrimination

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Abstract

Lithofacies identification and sand quality discrimination play key roles in the illumination of reservoir properties and reducing the uncertainties associated with the hydrocarbon reservoir characterization. In this study, prestack Poisson impedance inversion (PI) and Poisson dampening factor (PDF) attributes are used to identify lithofacies and discriminate zones with different sand qualities in the Ghar reservoir in an Iranian oilfield. A combination of well-logs and prestack seismic gathers is used to solve the prestack simultaneous inversion matrix. P- and S-wave velocities and the density of the rocks are the information extracted from prestack simultaneous inversion. This information is used to generate the PDF and PI attributes. The C-value corresponding to the maximum correlation coefficient for gamma ray is used to compute the PI attribute. To estimate an accurate C-value, target correlation coefficient analysis (TCCA) is used. A cross-plot of the PDF and PI is used to evaluate zones with different sand quality in the Ghar reservoir. Results based on lithology cutoff showed samples with low values of Poisson impedance (< 700 (m/s*g/cc)) are indicative of a clean hydrocarbon sand zone. In the zone of interest, high values of PDF (> 0.00035 ((m/s)/m*(cc/g))) and low values of PDF (< 0.00028 ((m/s)/m*(cc/g))) are indicators of high- and low-quality sand, respectively. Using a PDF vs. gamma-ray cross-plot, four classifications of lithofacies are identified at well locations: clean hydrocarbon zone, shaley sand zone, sandy shale zone, and shale zone. We have also detected a northwest-southeast channel and a hydrocarbon zone in the northwest of the studied area. The described approach will help to locate new sites for drilling future infill wells in areas where there is no well control.

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Acknowledgements

Thanks are given to anonymous domain experts for their input and insight without which this research would not have been possible. The authors would like to acknowledge The Research Council of the University of Tehran.

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Authors and Affiliations

  1. Institute of Geophysics, University of Tehran, PO Box, 14115-6466, Tehran, Iran

    Hamed Ghanbarnejad Moghanloo & Mohammad Ali Riahi

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  1. Hamed Ghanbarnejad Moghanloo
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  2. Mohammad Ali Riahi
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Correspondence to Mohammad Ali Riahi.

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Responsible Editor: Narasimman Sundararajan.

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Ghanbarnejad Moghanloo, H., Riahi, M.A. Application of prestack Poisson dampening factor and Poisson impedance inversion in sand quality and lithofacies discrimination. Arab J Geosci 15, 116 (2022). https://doi.org/10.1007/s12517-021-09307-1

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