Integrated multi-scale petrophysical methods for core characterisation applied to siliciclastic reservoirs

Helene Velcin

doi:10.26182/ajjy-4x34

Integrated multi-scale petrophysical methods for core characterisation applied to siliciclastic reservoirs

Helene Velcin

School of Earth and Oceans

Research output: Thesis › Doctoral Thesis

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Abstract

This study developed a multiscale drillcore characterization workflow by integrating 3D X-ray computed tomography and 1Dcore-logging tools. Tested on a composite core, the workflow successfully differentiated six rock types, captured the presence of clays that may impact porosity and permeability, and generated high-resolution rock properties 3D models (mineralogy, porosity, permeability, uniaxial compressive strength) with fine-scale heterogeneities. The workflow applied with an unsupervised machine algorithm to a 40 m section of Roc-2 core (Roebuck Basin, North West Shelf) successfully identified four lithofacies and generated high-resolution porosity and permeability logs. The such output provides a better understanding of finer-scale variabilities.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	George, Annette, Supervisor Dautriat, Jérémie, Supervisor, External person Lindsay, Mark, Supervisor Dewhurst, David N., Supervisor, External person
Award date	27 Oct 2022
DOIs	https://doi.org/10.26182/ajjy-4x34
Publication status	Unpublished - 2022

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10.26182/ajjy-4x34

THESIS - DOCTOR OF PHILOSOPHY - VELCIN, Helene Sidonie - 2022_
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Cite this

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title = "Integrated multi-scale petrophysical methods for core characterisation applied to siliciclastic reservoirs",

abstract = "This study developed a multiscale drillcore characterization workflow by integrating 3D X-ray computed tomography and 1Dcore-logging tools. Tested on a composite core, the workflow successfully differentiated six rock types, captured the presence of clays that may impact porosity and permeability, and generated high-resolution rock properties 3D models (mineralogy, porosity, permeability, uniaxial compressive strength) with fine-scale heterogeneities. The workflow applied with an unsupervised machine algorithm to a 40 m section of Roc-2 core (Roebuck Basin, North West Shelf) successfully identified four lithofacies and generated high-resolution porosity and permeability logs. The such output provides a better understanding of finer-scale variabilities.",

keywords = "Core characterisation, Siliciclastic reservoirs, Rock properties, Lithofacies classification, Integrated multi-scale, Petrophysical methods, 3D imaging, Machine learning",

author = "Helene Velcin",

year = "2022",

doi = "10.26182/ajjy-4x34",

language = "English",

school = "The University of Western Australia",

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T1 - Integrated multi-scale petrophysical methods for core characterisation applied to siliciclastic reservoirs

AU - Velcin, Helene

PY - 2022

Y1 - 2022

N2 - This study developed a multiscale drillcore characterization workflow by integrating 3D X-ray computed tomography and 1Dcore-logging tools. Tested on a composite core, the workflow successfully differentiated six rock types, captured the presence of clays that may impact porosity and permeability, and generated high-resolution rock properties 3D models (mineralogy, porosity, permeability, uniaxial compressive strength) with fine-scale heterogeneities. The workflow applied with an unsupervised machine algorithm to a 40 m section of Roc-2 core (Roebuck Basin, North West Shelf) successfully identified four lithofacies and generated high-resolution porosity and permeability logs. The such output provides a better understanding of finer-scale variabilities.

AB - This study developed a multiscale drillcore characterization workflow by integrating 3D X-ray computed tomography and 1Dcore-logging tools. Tested on a composite core, the workflow successfully differentiated six rock types, captured the presence of clays that may impact porosity and permeability, and generated high-resolution rock properties 3D models (mineralogy, porosity, permeability, uniaxial compressive strength) with fine-scale heterogeneities. The workflow applied with an unsupervised machine algorithm to a 40 m section of Roc-2 core (Roebuck Basin, North West Shelf) successfully identified four lithofacies and generated high-resolution porosity and permeability logs. The such output provides a better understanding of finer-scale variabilities.

KW - Core characterisation

KW - Siliciclastic reservoirs

KW - Rock properties

KW - Lithofacies classification

KW - Integrated multi-scale

KW - Petrophysical methods

KW - 3D imaging

KW - Machine learning

U2 - 10.26182/ajjy-4x34

DO - 10.26182/ajjy-4x34

M3 - Doctoral Thesis

ER -

Integrated multi-scale petrophysical methods for core characterisation applied to siliciclastic reservoirs

Abstract

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