The equivalent pore aspect ratio as a tool for pore type prediction in carbonate reservoirs

Fournier, François; Pellerin, M.; Villeneuve, Quentin; Teillet, Thomas; Hong, Fei; Poli, Emmanuelle; Borgomano, Jean; Léonide, Philippe; Hairabian, Alex

doi:10.1306/10181717058

Cited by 53 publications

(52 citation statements)

References 42 publications

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“…The resulting mean pore aspect ratio is about α = 0.16 (σ = 0.04), showing a minimum of 0.04 and a maximum of 0.25. These results about the aspect ratio in carbonate rocks are consistent with previous studies (e.g., Fournier et al, 2018;Regnet, Fortin, et al, 2019).…”

Section: Log Data Set a 1-d Vertical Evolution Of P Wave Velocitiessupporting

confidence: 93%

“…These elastic properties are computed employing the asymptotic expressions given by David and Zimmerman (2011b). In Figure 7b, the obtained results show that most of the plug-scale data corresponds to an aspect ratio between 0.1 and 0.2, a range close to the reference of carbonates (α ref~0 .15) given by Xu andPayne (2009) andFournier et al (2018) who also used DEM modeling. This first step of inverting P wave velocity and porosity data in terms of equivalent pore aspect ratio is now widely used in the literature (e.g., Baechle et al, 2008;Fournier et al, 2011Fournier et al, , 2014Fournier et al, , 2018Regnet, Fortin, et al, 2019;Xu & Payne, 2009).…”

Section: Upscaling Modeling Of Elastic Properties From Ultrasonic Tomentioning

confidence: 81%

“…authors (Anselmetti & Eberli, 1993;Eberli et al, 2003;Fortin et al, 2007;Fournier et al, 2018;Regnet, David, et al, 2019;Soete et al, 2015). Then, the upscaling to the outcrop Scale 2 (~20 cm of investigation for the green zone of Figure 15) is again associated with a decrease of the P wave velocity.…”

Section: How To Define the Elastic Properties Of Carbonates At Differmentioning

confidence: 91%

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Upscaling of Elastic Properties in Carbonates: A Modeling Approach Based on a Multiscale Geophysical Data Set

et al. 2019

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Linking ultrasonic measurements made on samples, with sonic logs and seismic subsurface data, is a key challenge for the understanding of carbonate reservoirs. To deal with this problem, we investigate the elastic properties of dry lacustrine carbonates. At one study site, we perform a seismic refraction survey (100 Hz), as well as “sonic” (54 kHz) and ultrasonic (250 kHz) measurements directly on outcrop and ultrasonic measurements on samples (500 kHz). By comparing the median of each data set, we show that the P wave velocity decreases from laboratory to seismic scale. Nevertheless, the median of the sonic measurements acquired on outcrop surfaces seems to fit with the seismic data, meaning that sonic acquisition may be representative of seismic scale. To explain the variations due to upscaling, we relate the concept of representative elementary volume with the wavelength of each scale of study. Indeed, with upscaling, the wavelength varies from millimetric to pluri‐metric. This change of scale allows us to conclude that the behavior of P wave velocity is due to different geological features (matrix porosity, cracks, and fractures) related to the different wavelengths used. Based on effective medium theory, we quantify the pore aspect ratio at sample scale and the crack/fracture density at outcrop and seismic scales using a multiscale representative elementary volume concept. Results show that the matrix porosity that controls the ultrasonic P wave velocities is progressively lost with upscaling, implying that crack and fracture porosity impacts sonic and seismic P wave velocities, a result of paramount importance for seismic interpretation based on deterministic approaches.

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Section: Log Data Set a 1-d Vertical Evolution Of P Wave Velocitiessupporting

confidence: 93%

Section: Upscaling Modeling Of Elastic Properties From Ultrasonic Tomentioning

confidence: 81%

Section: How To Define the Elastic Properties Of Carbonates At Differmentioning

confidence: 91%

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Upscaling of Elastic Properties in Carbonates: A Modeling Approach Based on a Multiscale Geophysical Data Set

et al. 2019

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“…We use aspect ratios taken from petroacoustic parameter α κ obtained by studying carbonates rocks (Fournier et al, 2017) to generate microstructures with different pore shapes and volume fraction of each. Realizations of such microstructures are shown in Fig.…”

Section: Pore Size Effectmentioning

confidence: 99%

Influence of the internal geometry on the elastic properties of materials using 3D printing of computer-generated random microstructures

Zerhouni

Tarantino

Danas

et al. 2018

SEG Technical Program Expanded Abstracts 2018

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Understanding elastic properties of rocks is a scientific challenge due to the complexity of their microstructures. This study combines the numerical tools to generate models for internal geometry of pores with the 3D printing technology in order to control the shape and size of pores as well as the distribution of pore's network inside the sample. Accuracy of the printing has been assessed by optical microscopy. The numerical and experimental tests conducted on generated microstructures show that the elastic properties are independent of the size of the pore. In turn, the shape of the pore has a strong effect on the elastic properties. This study shows that in case of multiple pore types, the ones with small aspect ratios have a strong impact though of minor volume fraction. The methodology that is developped can be extended to investigate the influence of more parameters in case of connected porosity and tests theories that have been proposed to link physical properties of reservoir rocks to their internal geometry.

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“…Seismic reflectors are driven by contrasts in acoustic impedances (AI, product of P-wave velocity with density). For pure carbonate rocks, the P-wave velocity (and thus AI) is mainly controlled by the porosity (Rafavich et al 1984;Guerin & Goldberg 1996) and its geometry (Anselmetti & Eberli 1993;Weger et al 2009;Fournier et al 2018). This property is related to the 'primary microstructure' acquired during the deposition of sediments (type of grains and matrix, grain packing, primary pore types and sedimentary fabric) and modified during diagenesis (bio-physicochemical evolution of microstructure after deposition, secondary pore types and diagenetic fabric) to form a 'secondary microstructure'.…”

Section: Introductionmentioning

confidence: 99%

Combined controls of sedimentology and diagenesis on seismic properties in lacustrine and palustrine carbonates (Upper Miocene, Samos Island, Greece)

Bailly

Adelinet

Hamon

et al. 2019

Geophysical Journal International

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SUMMARY For the subsurface characterization of carbonates, linking physical properties (e.g. porosity and seismic reflectors) with their geological significance (e.g. sedimentary facies and diagenesis) is of primary importance. To address this issue, we study the lacustrine and palustrine carbonates on Samos Island through a geological and geophysical characterization of a sedimentary succession. The microstructures of the samples are described, and the samples’ physical properties are measured (porosity, P-wave velocity and density). The results show that the identification of only the primary (i.e. sedimentary) microstructure is not sufficient for explaining the huge variations in porosity and P-wave velocity. Hence, we highlight two early diagenetic processes that strongly impact the microstructures and control the physical properties: (i) neomorphism occludes porosity and increases the P-wave velocity of mud- and grain-supported microstructures, which implies a mineralogical stabilization of the grains; (ii) conversely, the dissolution process creates porosity and decreases the P-wave velocity of grain-supported microstructures if the mineralogical composition of the grains is not previously stabilized. These two diagenetic processes thus depend on the primary microstructures and mineralogy of the sediments. This work aims to explain the variations in porosity and P-wave velocity for each defined primary microstructure. A 1-D seismogram is then built to highlight seismic reflectors with a metre-scale resolution. These reflectors are associated with several geological contrasts. Hard kicks (positive amplitude reflectors) match well with exposure surfaces related to palaeosols. They correspond to contrasts between non-modified primary microstructures and highly neomorphosed microstructures. Conversely, soft kicks (negative amplitude reflectors) are linked with diagenetic contrasts (e.g. neomorphosed microstructures versus non-modified primary microstructures) and sedimentary contrasts that can be overprinted by diagenesis (e.g. neomorphosed mud-supported microstructures versus dissolved grain-supported microstructures). This study highlights that high-resolution seismic reflectors of lacustrine and palustrine carbonates are strongly related to the spatial contrasts of primary microstructures overprinted by early diagenesis.

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The equivalent pore aspect ratio as a tool for pore type prediction in carbonate reservoirs

Cited by 53 publications

References 42 publications

Upscaling of Elastic Properties in Carbonates: A Modeling Approach Based on a Multiscale Geophysical Data Set

Upscaling of Elastic Properties in Carbonates: A Modeling Approach Based on a Multiscale Geophysical Data Set

Influence of the internal geometry on the elastic properties of materials using 3D printing of computer-generated random microstructures

Combined controls of sedimentology and diagenesis on seismic properties in lacustrine and palustrine carbonates (Upper Miocene, Samos Island, Greece)

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