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Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs

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  • Norbert P. Szabó

    (Department of Geophysics, University of Miskolc, H-3515 Miskolc, Hungary
    MTA-ME, Geoengineering Research Group, H-3515 Miskolc, Hungary)

  • Rafael Valadez-Vergara

    (Department of Geophysics, University of Miskolc, H-3515 Miskolc, Hungary)

  • Sabuhi Tapdigli

    (Department of Geophysics, University of Miskolc, H-3515 Miskolc, Hungary)

  • Aja Ugochukwu

    (Department of Geophysics, University of Miskolc, H-3515 Miskolc, Hungary)

  • István Szabó

    (MOL Plc., Group E&P Subsurface and Field Development, H-5000 Szolnok, Hungary)

  • Mihály Dobróka

    (Department of Geophysics, University of Miskolc, H-3515 Miskolc, Hungary)

Abstract

Several approaches have been applied for the evaluation of formation organic content. For further developments in the interpretation of organic richness, this research proposes a multivariate statistical method for exploring the interdependencies between the well logs and model parameters. A factor analysis-based approach is presented for the quantitative determination of total organic content of shale formations. Uncorrelated factors are extracted from well logging data using Jöreskog’s algorithm, and then the factor logs are correlated with estimated petrophysical properties. Whereas the first factor holds information on the amount of shaliness, the second is identified as an organic factor. The estimation method is applied both to synthetic and real datasets from different reservoir types and geologic basins, i.e., Derecske Trough in East Hungary (tight gas); Kingak formation in North Slope Alaska, United States of America (shale gas); and shale source rock formations in the Norwegian continental shelf. The estimated total organic content logs are verified by core data and/or results from other indirect estimation methods such as interval inversion, artificial neural networks and cluster analysis. The presented statistical method used for the interpretation of wireline logs offers an effective tool for the evaluation of organic matter content in unconventional reservoirs.

Suggested Citation

  • Norbert P. Szabó & Rafael Valadez-Vergara & Sabuhi Tapdigli & Aja Ugochukwu & István Szabó & Mihály Dobróka, 2021. "Factor Analysis of Well Logs for Total Organic Carbon Estimation in Unconventional Reservoirs," Energies, MDPI, vol. 14(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5978-:d:639612
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    References listed on IDEAS

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    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
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    1. Kui Xiang & Liangjun Yan & Gang Yu & Xinghao Wang & Yuanyuan Luo, 2022. "Research on Rock Minerals and IP Response Characteristics of Shale Gas Reservoir in Sichuan Basin," Energies, MDPI, vol. 15(17), pages 1-14, September.

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