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    Refining palaeoenvironmental analysis using integrated quantitative granulometry and palynology

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    Stukins et al_Final MS 2nd.pdf
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    Authors
    Stukins, S cc
    McIlroy, D
    Jolley, DW
    Issue date
    2017-04-27
    Submitted date
    2017-05-11
    Subject Terms
    palaeoenvironmental analysis
    quantitative palynology
    quantitative granulometry
    Lajas Formation of the Neuquén Basin
    
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    Abstract
    Accurate palaeoenvironmental analysis is at the heart of producing reliable interpretations and depositional models. This study demonstrates a multivariate statistical approach to facies analysis based on relationships between grain size and quantitative palynology. Our methodology has the advantage that it can be used on small amounts of sample, such as core or well cuttings, as the basis for facies analysis. Proof of concept studies involving the collection of grain-size and palynological datasets from well-exposed outcrops of the Middle Jurassic, Lajas Formation of the Neuquén Basin, Argentina, demonstrate that canonical correspondence analysis can be used to consistently recognize facies and aid in the determination of depositional environments. This study demonstrates the link between depositional facies, grain-size distribution, palynomorph hydrodynamics and assemblage taphonomy of palynomorphs. This knowledge can be transferred into a semi-automated statistical facies prediction technique for the subsurface in complex depositional settings, particularly when calibrated against conventional sedimentary facies analysis.
    Citation
    Stukins, Stephen; McIlroy, Duncan; W. Jolley, David (2017) "Refining palaeoenvironmental analysis using integrated quantitative granulometry and palynology." Petroleum Geoscience, 23(4), pp. 395-402
    Publisher
    The Geological Society
    Journal
    Petroleum Geoscience
    URI
    http://hdl.handle.net/10141/622759
    DOI
    10.1144/petgeo2016-073
    Additional Links
    https://doi.org/10.6084/m9.figshare.c.3745481.v1
    Type
    Journal Article
    Item Description
    The attached article is the accepted manuscript for this article. You are advised to consult the publisher's version if you wish to cite from the article.
    ISSN
    1354-0793
    EISSN
    2041-496X
    ae974a485f413a2113503eed53cd6c53
    10.1144/petgeo2016-073
    Scopus Count
    Collections
    Earth sciences

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