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Delineation of thin-bedded sands and porosity using post-stack seismic inversion in the Lower Goru Formation, Kadanwari gas field, Pakistan

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Abstract

Post-stack seismic inversion tightly integrates different datasets and provides an accurate and high-resolution image of the subsurface. Selecting a suitable inversion algorithm for reservoir characterization using seismic data is very important, especially in geologically complex areas. In this study, five post-stack inversion algorithms were applied to select the most optimum algorithm required for the delineation of thin-bedded reservoir sand of Lower Goru Formation, Kadanwari gas field, Pakistan. Inversion results demonstrate that linear programming sparse spike inversion (LPSSI) provides better results than band-limited inversion (BLI) and coloured inversion (CI), respectively. The other two algorithms, maximum likelihood sparse spike inversion (MLSSI) and model-based inversion (MBI), are not able to clearly resolve the thin-bedded E-sand reservoir. Probabilistic neural network (PNN) in combination with LPSSI was applied to predict the spatial distribution of porosity, which showed 98% correlation with log porosities. The combination of LPSSI and PNN can be used to better characterize the thin-bedded Cretaceous sands having similar depositional environments around the globe.

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Acknowledgements

The authors are thankful to the Directorate General of Petroleum Concessions (DGPC), Pakistan, for being a data source for this work. The authors are grateful to the GeoSoftware (HampsonRussel and Powerlog) and the IHS Markit software (Kingdom) for providing software facilities to the Department of Earth Sciences, Quaid-i-Azam University (QAU), Islamabad, Pakistan. The authors are also thankful to the editors and reviewers for critically reviewing/evaluating this manuscript.

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Authors and Affiliations

  1. Department of Earth Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan

    Aamir Ali, Tahir Azeem, Raja Fahad Khalid & Matloob Hussain

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  1. Aamir Ali
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  2. Tahir Azeem
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  3. Raja Fahad Khalid
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  4. Matloob Hussain
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Contributions

Aamir Ali collected the data, proposed the methodology and helped his MPhil student Raja Fahad Khalid to implement the proposed methodology. Raja Fahad Khalid has collected the literature and obtained the results. Tahir Azeem has helped to produce the final maps and interpretation of the data. Matloob Hussain has discussed the structure, reservoir geology of the area and helped in finalizing the manuscript.

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Correspondence to Aamir Ali.

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Communicated by Somnath Dasgupta

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Ali, A., Azeem, T., Khalid, R.F. et al. Delineation of thin-bedded sands and porosity using post-stack seismic inversion in the Lower Goru Formation, Kadanwari gas field, Pakistan. J Earth Syst Sci 132, 60 (2023). https://doi.org/10.1007/s12040-023-02071-8

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