Influence of substrate morphology on reef diagenesis: Examples from the Zechstein Limestone formation (SE Wolsztyn Ridge, W Poland)

Fheed, Adam; Świerczewska, Anna; Strzelecki, Piotr Jan; Radzik-Hotloś, Natalia; Gebus‐Czupyt, Beata

doi:10.1016/j.marpetgeo.2021.105442

Cited by 6 publications

(1 citation statement)

References 40 publications

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“…The details of sample extraction, preparation and evaluation using transmitted‐light microscopy (TLM) and complementary methods are elaborated in Section S1 in Supporting Information S1. The studied sample is a part of the Upper Permian, Zechstein Limestone (Ca1) formation of West Poland and comes from the Brońsko Reef (see Fheed et al., 2022; Peryt et al., 2012).…”

Section: Methodsmentioning

confidence: 99%

Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing ¹H in the Pore System of Rock Cores

et al. 2022

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Nuclear magnetic resonance (MR) (NMR) is commonly used for the determination of rock porosity, as well as pore size distribution (PSD) and tortuosity, required to handle hydrocarbon exploitation. Emerging technologies for NMR equipment now enable the visualization of porosity using magnetic resonance imaging (MRI). Currently, single‐point imaging is the most common MRI technique employed, but diffusion‐weighted imaging has been attracting the attention of geologists and geophysicists. In this study, a more advanced technique, diffusion tensor imaging (DTI), is proposed for the characterization of rock core samples. The main purpose of this paper is to demonstrate the usefulness of DTI in the petrophysical characterization of rocks and discuss its strengths. As an example, a carbonate core sample was examined using DTI. The diffusion tensor (DT) was obtained and DT parameters (mean diffusivity, MD; fractional anisotropy, FA; three eigenvalues; DT components; and proton density, PD) were visualized in 2D and 3D. Each parameter was described and its utility in terms of pore space characterization was analyzed. In addition, a new parameter, principal diffusion tracts, was introduced based on the DT tractography performed in the study. The analysis is summarized in a set of DT parameters and a resultant ellipsoid that delivers complementary information about the sample's pore network microgeometry, including referential measurements of anisotropic phantoms. The applications of DTI for the determination of pore size distribution, tortuosity and conductivity are also shown. The study ends with a consideration of the potential prospects and challenges for DTI‐based examination of rock core samples.

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Section: Methodsmentioning

confidence: 99%

Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing ¹H in the Pore System of Rock Cores

et al. 2022

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A one-dimensional diffusive transport model to evaluate H2S generation in salt caverns hydrogen storage sites

Minougou,

Gholami,

Poirier

2024

Gas Science and Engineering

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Identification and quantification of intergranular volume using SEM automated mineralogy

Pszonka,

Godlewski,

Fheed

et al. 2024

Marine and Petroleum Geology

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Influence of substrate morphology on reef diagenesis: Examples from the Zechstein Limestone formation (SE Wolsztyn Ridge, W Poland)

Cited by 6 publications

References 40 publications

Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing ¹H in the Pore System of Rock Cores

Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing ¹H in the Pore System of Rock Cores

A one-dimensional diffusive transport model to evaluate H2S generation in salt caverns hydrogen storage sites

Identification and quantification of intergranular volume using SEM automated mineralogy

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Influence of substrate morphology on reef diagenesis: Examples from the Zechstein Limestone formation (SE Wolsztyn Ridge, W Poland)

Cited by 6 publications

References 40 publications

Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing 1H in the Pore System of Rock Cores

Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing 1H in the Pore System of Rock Cores

A one-dimensional diffusive transport model to evaluate H2S generation in salt caverns hydrogen storage sites

Identification and quantification of intergranular volume using SEM automated mineralogy

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Product

Resources

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Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing ¹H in the Pore System of Rock Cores

Prospects and Challenges for the Spatial Quantification of the Diffusion of Fluids Containing ¹H in the Pore System of Rock Cores