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Mapping petrophysical properties with seismic inversion constrained by laboratory based rock physics model

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Abstract

Estimation of reservoir properties from seismic data suffers from non-unique solutions. A workflow based on the numerical reformulation of a laboratory-based rock physics model may reduce the non-uniqueness. This study attempts to integrate seismic and well log data of relatively unexplored parts of Upper Assam (UA) basin using inversion driven by laboratory based rock physics model. The laboratory-based rock physics model was developed based on experimental measurements conducted on rock cores from Tipam and Barail formations of the basin. Seismic inversion analysis was performed in OpendTect, an open-source software on post-stack seismic data to derive the acoustic impedance (AI) using coloured inversion. A multilayered feed-forward neural network was developed to spatially populate different petrophysical properties. Laboratory-based correlations between AI, density, porosity were utilised for the AI model from which velocity was computed using multivariate rock physics equation. This derived velocity value was transformed to AI and subsequently trained with well log to populate density (2.23-2.73 gm/cc) and porosity (7-28%) for the entire survey area. A reasonable to high correlation is obtained between bulk density and porosity derived by NN using well log and that derived by laboratory-based model (r = 0.78, 0.91 for Barail and 0.95, 0.94 for Sylhet formation). Thus, integrating datasets of different scale from seismic to core with well log data using neural network helps to derive more realistic models that helps in quantitative decision analysis.

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Acknowledgements

The corresponding author acknowledges the support of IIT Guwahati (IITG) through the project scheme IITG-Start up grant [Grant number SG/CE/P/AMN/01]. The authors are grateful to NDR (National Data Repository), DGH (Director General of Hydrocarbons), India, for the seismic, well log data, KDMIPE (Keshava Deva Malaviya Institute of Petroleum Exploration) – ONGC (Oil and Natural Gas Corporation) for the sandstone samples and dGB Earth Sciences, Netherlands for providing academic license of OpendTect software.

Funding

This work was supported by IIT Guwahati (IITG) through the project scheme IITG-Start up grant (Grant number [SG/CE/P/AMN/01]).

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Authors and Affiliations

  1. School of Civil Engineering, Lovely Professional University, Phagwara, India

    Siddharth Garia

  2. Department of Civil Engineering, Indian Institute of Technology, Guwahati, India

    Arnab Kumar Pal, Shreya Katre, K. Ravi & Archana M. Nair

  3. Senior Geoscientist, PETRONAS, Kuala Lumpur, Malaysia

    Satyabrata Nayak

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  1. Siddharth Garia
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  2. Arnab Kumar Pal
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  3. Shreya Katre
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  4. Satyabrata Nayak
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  5. K. Ravi
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  6. Archana M. Nair
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Contributions

Archana M Nair conceived the research idea, designed the project. Formal Analysis were performed by Siddharth Garia and Arnab Kumar Pal. Methodology, Software and Investigation were performed by Siddharth Garia, Arnab Kumar Pal, Shreya Katre, Satyabrata Nayak and Archana M Nair. The first draft of the manuscript was written by Siddharth Garia and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Archana M. Nair.

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Communicated by: H. Babaie

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Garia, S., Pal, A.K., Katre, S. et al. Mapping petrophysical properties with seismic inversion constrained by laboratory based rock physics model. Earth Sci Inform 16, 3191–3207 (2023). https://doi.org/10.1007/s12145-023-01089-2

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