Understanding the two-dimensional quantification of bioturbation intensity through computer modeling and statistical analysis

Eltom, Hassan A.; Alqubalee, Abdullah; Babalola, Lamidi

doi:10.1007/s00531-021-02102-z

Cited by 6 publications

(2 citation statements)

References 45 publications

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“…The MPS results in Eltom et al 25 showed comparable morphology of modelled burrows with burrows found in the rock record. In following years, Eltom 13 , Eltom et al 14 , Eltom and Goldstein 19 , 23 used the MPS techniques to address many research questions using these models as digital samples of burrows. The MPS models in these studies allowed to overcome the limited availability of comprehensive samples containing the full range of variables required to describe burrow characteristics in 3D framework.…”

Section: Discussionmentioning

confidence: 99%

“…Digital rock modeling and analysis, in this regard, offer a promising solution to navigate these complexities.Earlier studies tried to model burrows but often showed them as simple cylinders, missing their complex shapes [9][10][11][20][21][22] . Recently, a series of comprehensive studies has significantly advanced the modelling of burrows through the application of multipoint statistics (MPS) and various cutting-edge software packages 19,[23][24][25][26][27] . These works have led to remarkable progress in this field.…”

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Reproducing burrows in modelled sedimentary strata

Eltom

2024

Sci Rep

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Studying bioturbated sedimentary strata is crucial; however, sampling these strata poses notable challenges. Modelling these strata has emerged as a promising solution to bridge this gap. This study introduces a workflow to model burrows utilizing the multipoint statistics (MPS) method. A key step in MPS modelling is the use of training images, and this study describes a process to create them using CT scans of rock samples contain burrows. These scans give a 3D visual representation of burrows in actual rock record. The process involves selecting suitable rock samples, CT scanning them, importing and processing the scans in Petrel™, and then transforming the scan data into training images which can be used for MPS modelling. The MPS models allow for precise replication of burrows, variations in their size and percentage, and modeling properties like porosity and permeability. This enables a more detailed analysis, paving the way for further advancements in understanding and simulating the geological implications of burrows. To guarantee reproducibility, this study has precisely documented the workflow with video guidance and provided the necessary data. This comprehensive documentation aims to encourage the broader adoption of MPS modelling for bioturbated strata, setting the stage for further advancements in the field.

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