A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone

Saafan, Muhammad; Ganat, Tarek Al-Arbi Omar; Mohyaldinn, Mysara Eissa; Chen, Xiaojun

doi:10.1016/j.petrol.2021.109747

Cited by 13 publications

(5 citation statements)

References 49 publications

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“…Generally, the diffusion process in porous media has been described on the basis of an analogy with thermal and electrical conduction theories . Nevertheless, the irregular shapes and distributions of rock grains and pore spaces (complex heterogeneous pore structure) , and the heterogeneous mineral composition make the investigation of the diffusion phenomenon in porous rocks a challenging process. Hence, the measured values of diffusion coefficients highly depend upon the properties of the solute (e.g., CO 2 gas), solvent (e.g., resident liquid), as well as the porous medium and thermodynamic properties of the system.…”

Section: Co2 Diffusion In Porous Mediamentioning

confidence: 99%

CO₂ Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models

et al. 2021

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CO 2 molecular diffusion in subsurface porous media is one of the key mechanisms in high-pressure−high-temperature CO 2 geosequestration and CO 2 -based enhanced oil recovery projects. The mass transfer rate of injected supercritical CO 2 and its dissolution in reservoir fluids are mainly described by the gas diffusion coefficient. Over the past decades, numerous efforts have been made to investigate the CO 2 molecular diffusion process in both hydrocarbon reservoirs and saline aquifers. However, various experimental methods and mathematical models with simplified assumptions were used to determine the CO 2 diffusivity, which sometimes led to inaccurate or contradicting results. Hence, it is essential to critically review and compare the CO 2 -diffusion-related literature for better application in geoscience, chemical, and petroleum engineering fields. In this review, we critically review the physics of CO 2 diffusion in porous and nanoporous media, including the diffusion theory, factors affecting the CO 2 diffusion coefficient in hydrocarbon reservoirs and saline aquifers, analysis of laboratory measurement methods, their advantages and disadvantages and limitations, and also evaluation of previously developed mathematical models and their uncertainties and empirical correlations, in detail. Additionally, we briefly discuss CO 2 dispersion in porous media from various aspects. Finally, potential research areas related to CO 2 diffusion in porous media are proposed.

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Section: Co2 Diffusion In Porous Mediamentioning

confidence: 99%

CO₂ Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models

et al. 2021

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“…It is believed that the crude oil in tight reservoir matrix flows into fractures mainly by imbibition. Thus, imbibition is considered an important mechanism in the production process (Mattax and Kyte, 1962;Birdsell et al, 2015;Wang et al, 2017Wang et al, , 2019Liu et al, 2022;Saafan et al, 2022;Karimova et al, 2023). As early as the middle of the 20 th century, some countries began to study and apply imbibition in oil exploitation (Graham and Richardson, 1959).…”

Section: Introductionmentioning

confidence: 99%

Study on imbibition during the CO2 enhanced oil recovery in fractured tight sandstone reservoirs

Wang,

Shang,

Guo

et al. 2023

Capillarity

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CO 2 enhanced oil recovery (CO 2 -EOR) is a key technology for improving the oil recovery of fractured tight reservoirs, and imbibition has been recognized as an important mechanism for oil recovery in low-permeability reservoirs. To clarify the imbibition role and influencing factors during the CO 2 -EOR process in fractured tight oil reservoirs and also improve the EOR mechanism, a high-temperature and high-pressure CO 2 imbibition experiment was performed based on the nuclear magnetic resonance technology. The results show that high pressure and high permeability are beneficial to imbibition efficiency. The salinity of the imbibition fluid is not very sensitive to the imbibition recovery. In addition, the CO 2 increases the imbibition speed and can also significantly improve the production rate and oil recovery. It is beneficial to increase the CO 2 concentration to shorten the imbibition equilibrium time and enhance oil recovery. According to the results of the nuclear magnetic resonance study, although the nanopore can provide a greater imbibition force, the oil flow resistance is also larger, but CO 2 can reduce the flow resistance of oil and be conducive to oil production in smaller pores. The inclusion of imbibition into the research category of CO 2 -EOR mechanism will be more in line with field practice and more scientific in fractured tight reservoirs, thus providing theoretical support for the development and improvement of the CO 2 -EOR technology.

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“…2D slices act as “children”, while 3D structures act as “mother.” 2D slices show the morphologies of 3D space, which are increasingly indicated to be inextricably linked (Araya‐Polo et al., 2020; Saafan et al., 2022; P. Zhang & Yin, 2021). For instance, using the cross‐correlation function, a 3D PNM was successfully constructed using 2D slices, which was in good agreement with experiments in terms of physical properties (Tahmasebi and Sahimi, 2012, 2013, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…2D slices act as "children", while 3D structures act as "mother." 2D slices show the morphologies of 3D space, which are increasingly indicated to be inextricably linked (Araya-Polo et al, 2020;Saafan et al, 2022;P. Zhang & Yin, 2021).…”

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confidence: 99%

Predicting 3D Physical Properties From a Single 2D Slice Based on Convolutional Neural Networks: 2D‐Slice‐To‐3D‐Properties for Porous Rocks

Chen,

Yang,

et al. 2023

Water Resources Research

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The 3D physical properties of porous rocks directly determine the subsurface flow and modelling. However, predicting a wide range of 3D physical rocks remains a formidable challenge and requires a large amount of input. Reliable microstructure‐property correlations can accurately predict 3D physical properties, avoiding time‐consuming experimental testing. Here, we propose a new dimensionless CNN‐based method to find inherent correlations for accurately predicting 3D properties of porous rocks using only a single 2D slice or a series of 2D slices. Training and testing were conducted on 9 properties of 16,409 semi‐realistic 3D porous rocks. Eight properties, except for the formation factor, were predicted with an acceptable correlation coefficient of 0.92. Furthermore, the modeling results indicate that the network architecture of the model has a significant impact on its performance. The classical CNN Model 4 achieved an average validating loss of 1.0×10‐3. Interval 2D slice sampling can significantly reduce the computational cost in training model. The developed model was verified and tested by five independent porous samples. Additionally, the proposed method accurately predicted permeability in different directions using only 2D slices trained in one direction, for porous rocks where anisotropy is not significant. This work demonstrates the ability to predict various 3D properties rapidly and accurately using only a single 2D slice from semi‐realistic 3D volumes. It provides insights into the conversion of 2D slices to 3D properties for porous media in a wide range of applications, including property estimation from 2D images without structural construction and simulation in 3D.This article is protected by copyright. All rights reserved.

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A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone

Cited by 13 publications

References 49 publications

CO₂ Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models

CO₂ Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models

Study on imbibition during the CO2 enhanced oil recovery in fractured tight sandstone reservoirs

Predicting 3D Physical Properties From a Single 2D Slice Based on Convolutional Neural Networks: 2D‐Slice‐To‐3D‐Properties for Porous Rocks

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A fractal model for obtaining spontaneous imbibition capillary pressure curves based on 2D image analysis of low-permeability sandstone

Cited by 13 publications

References 49 publications

CO2 Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models

CO2 Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models

Study on imbibition during the CO2 enhanced oil recovery in fractured tight sandstone reservoirs

Predicting 3D Physical Properties From a Single 2D Slice Based on Convolutional Neural Networks: 2D‐Slice‐To‐3D‐Properties for Porous Rocks

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CO₂ Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models

CO₂ Diffusion and Dispersion in Porous Media: Review of Advances in Experimental Measurements and Mathematical Models