Computational approach to integrate 3D X-ray microtomography and NMR data

Lucas-Oliveira, Éverton; Araujo-Ferreira, A. G.; Trevizan, Willian Andrighetto; Fortulan, Carlos Alberto; Bonagamba, Tito J.

doi:10.1016/j.jmr.2018.05.001

Cited by 16 publications

(11 citation statements)

References 24 publications

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“…Desta forma, o tamanho característico do poro é calculado independe do regime de difusão, uma vez que a relaxatividade e a forma do poro seja previamente determinada, poros esféricos, por exemplo. 34 A relaxatividade superficial longitudinal pode ser conhecida a partir de pela a seguinte relação:…”

Section: Rmn Em Meios Porososunclassified

“…onde a razão # / deve ser estimada experimentalmente. 34 [35][36][37] Para um meio poroso, espera-se que o decaimento da magnetização não seja representado pelas Equações 8 e 9, uma vez que a magnetização é dada por:…”

Section: Rmn Em Meios Porososunclassified

“…Uma vez descrito o modelo de Random Walk para simular a difusão translacional dos spins, e sabendo que as propriedades da dinâmica translacional estão também correlacionadas a morfologia do meio, tal como a tortuosidade, almeja-se incluir as propriedades de magnetização e relaxação aos pacotes de spins, de tal forma que possamos correlacionar as propriedades dinâmicas com as de RMN. 34 A relaxação longitudinal é um processo em que os spins transferem e recebem energia do sistema, permitindo uma transição entre seus estados quânticos. Sabe-se que na condição de equilíbrio, existe uma diferença entre os estados de maior e menor energia, de tal forma, que produz uma magnetização resultante .…”

Section: Relaxação Longitudinalunclassified

“…O fator > µ , em geral, é definido pelo deslocamento quadrático médio, onde Fonte: LUCAS-OLIVEIRA. 34 Relaxatividade superficial magnética; ÎÏÐÑ ‡Ò Nome da imagem de entrada com a extensão "raw"; ÎÏÐÑ ÓÔÉ Nome base dos arquivos de saída.…”

Section: Relaxação Transversalunclassified

“…Além da macroporosidade induzida, existe uma microporosidade natural da sinterização dos grãos de alumina em escalas sub micrométrica e oriunda do processo de confecção. 34,[69][70] A amostra escolhida neste trabalho foi produzida com dois conjuntos de grãos de Fonte: LUCAS-OLIVEIRA. 34…”

Section: Meio Poroso Digital: Cerâmicaunclassified

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Modelagem físico-computacional da RMN em meios porosos - aplicações na indústria do petróleo

Lucas-Oliveira¹

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Extracting and understanding morphological properties of porous media is the focus of many areas of knowledge. In the case of oil industry, extracting the tridimensional morphological features of rock reservoirs allows the evaluation of the well productivity. Nuclear Magnetic Resonance (NMR) is one of the most important techniques applied in the study of reservoir rocks, capable of providing information about both their morphologies and the confined fluids. The most used parameters measured by NMR to study fluids in reservoir rocks are the magnetic relaxation and diffusion coefficients. Fluid molecules diffuse through the pore space and relax due to the fluid-surface interaction, macroscopically defined by the magnetic surface relaxivity ρ. The magnetic surface relaxation time TS is given in terms of three parameters: ρ, pore size distribution (PSD), and pore connectivity, being ρ extremely important and difficult to measure. The magnetic surface relaxivity can be determined by correlating TS to the PSD obtained from other techniques. However, in general, pore length scale defined by the molecular diffusion during the NMR magnetic relaxation is not equivalent to pore sizes measured, for example, by thin section and mercury intrusion. While the thin section offers essentially two-dimensional information about the pores, the mercury intrusion technique measures the bulk pore-throat size distribution. Due to this reason, a new NMR computational physics approach was proposed to correlate magnetic relaxation experimental data with those simulated using Digital Porous Media obtained by X-ray microcomputed tomography, which offers an alternative method to measure of ρ. This computational physics method, unlike the others, preserves the porous media morphology, molecular dynamics and NMR properties. Additionally, it is straightforward to implement advanced NMR pulse sequences using the proposed computational model, including those carried out under magnetic field gradients. Thus, it is possible to reproduce data resulting from NMR techniques applied in either laboratory or well-logging conditions. Therefore, the proposed computational physics model is capable of reproducing the NMR parameters of interest to the oil industry, most notably the longitudinal and transverse relaxation times T1 and T2, as well as the diffusion coefficient D and their correlations T1xT2, DxT2, and T2xT2.

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Section: Rmn Em Meios Porososunclassified

Section: Relaxação Longitudinalunclassified

Section: Relaxação Transversalunclassified

Section: Meio Poroso Digital: Cerâmicaunclassified

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Modelagem físico-computacional da RMN em meios porosos - aplicações na indústria do petróleo

Lucas-Oliveira¹

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Dual nuclear magnetic resonance for probing intrinsic bone structure and a potential gut–bone axis in ovariectomized rats

Jakobsen

Zachariassen

et al. 2022

Magnetic Reson in Chemistry

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Characterization of Macroporous Materials

Somo

Hato

Modibane

2021

Engineering Materials

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Macroporous materials (with pore sizes of > 50 nm) have received little attention in the literature mainly due to their complexity but their pore diameters comparable to optical wavelengths are predicted to have unique and highly useful optical properties such as photonic bandgaps and optical stop-bands. Herein, the current state of characterization of these materials using a set of three-dimensional imaging techniques: computerized X-ray tomography, 3D electron tomography, dualbeam electron microscopy and magnetic resonance imaging is discussed. Each technique could be characterized by ambiguities resulting from various parameters. Nevertheless, employing the above-mentioned techniques in parallel or even coupling them can improve their precision and eliminate ambiguities when characterizing macroporous materials.

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Computational approach to integrate 3D X-ray microtomography and NMR data

Cited by 16 publications

References 24 publications

Modelagem físico-computacional da RMN em meios porosos - aplicações na indústria do petróleo

Modelagem físico-computacional da RMN em meios porosos - aplicações na indústria do petróleo

Dual nuclear magnetic resonance for probing intrinsic bone structure and a potential gut–bone axis in ovariectomized rats

Characterization of Macroporous Materials

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