2019
DOI: 10.1016/j.petrol.2019.01.036
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Simulation and experimental measurements of internal magnetic field gradients and NMR transverse relaxation times (T2) in sandstone rocks

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Cited by 54 publications
(35 citation statements)
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“…In regard to quantitative analysis of pore size, a DDIF tool utilizing higher eigenmodes is developed by the signal difference from reference signal R and test signal E (Song 2003;Cho and Song 2008). Tests combining DDIF with other pulse sequences like CPMG are also used in studies of pore structure characterization and non-uniform field distribution (Zhang et al 2018;Connolly et al 2019). For qualitative analysis, a more direct away is combining processes Yan et al (2013) Image-based methods Reservation of mineral compositions makes it possible to capture short relaxation signal of different solid components Ogren (2013), Tiwari et al (2013) Geometric algorithms A kind of simplified method for study NMR response difference between pores and fissures with regular or simplified shape and structure Jia et al (2007) Statistics algorithms Simplified version of process-based methods with significant difference in geometrical characteristics among simulation results Sheidaei et al (2013) NMR response simulation…”
Section: Experimental Methodologiesmentioning
confidence: 99%
“…In regard to quantitative analysis of pore size, a DDIF tool utilizing higher eigenmodes is developed by the signal difference from reference signal R and test signal E (Song 2003;Cho and Song 2008). Tests combining DDIF with other pulse sequences like CPMG are also used in studies of pore structure characterization and non-uniform field distribution (Zhang et al 2018;Connolly et al 2019). For qualitative analysis, a more direct away is combining processes Yan et al (2013) Image-based methods Reservation of mineral compositions makes it possible to capture short relaxation signal of different solid components Ogren (2013), Tiwari et al (2013) Geometric algorithms A kind of simplified method for study NMR response difference between pores and fissures with regular or simplified shape and structure Jia et al (2007) Statistics algorithms Simplified version of process-based methods with significant difference in geometrical characteristics among simulation results Sheidaei et al (2013) NMR response simulation…”
Section: Experimental Methodologiesmentioning
confidence: 99%
“…In aqueous solution, the bulk relaxation time usually ranges from 2,000 to 3,000 ms. Its contribution to the harmonic average, therefore, becomes negligible in comparison. Diffusion relaxation, caused by the Brownian movement of the proton spins in an inhomogeneous magnetic field, can be neglected in the presence of small gradients and short echo spacing during measurements 17,20,21 . Therefore, the dominant relaxation within the pore space is surface relaxation, which is a function of the surface‐to‐volume ratio ( S / V ) and surface relaxivity ( ρ 2 ).…”
Section: Methodsmentioning
confidence: 99%
“…A series of 180° RF pulses refocusses dephasing arising from inhomogeneity of the static magnetic field, generating a train of spin echoes which decay according to 2 . In this work we employed = 500 echoes separated by an echo time of = 100 µs; this short echo time, together with the low static magnetic field strength employed in this study, aimed to limit the influence of undesired transverse relaxation phenomena due to magnetic susceptibility contrast effects at the solid-liquid interface (Connolly et al, 2019;Mitchell et al, 2010). The resulting relaxation data are again described by a Fredholm integral equation of the first kind (Wilson, 1992),…”
Section: Nuclear Magnetic Resonance Relaxation Measurementsmentioning
confidence: 99%
“…As such, it offers opportunities for the development of robust approaches for monitoring CPB samples under early hydration conditions without the requirements for sample modifications, such as solvent exchange or oven drying, which may damage the material microstructure (Makar and Sato, 2013;Zhang and Scherer, 2011). Indeed, as the longitudinal and transverse NMR relaxation times T1 and T2 are both inherently sensitive to molecular dynamics (Kowalewski and Mäler, 2017), the relaxation characteristics of fluids confined to porous structures can provide unique insight into material structural properties, including pore size distributions and pore network connectivity (Connolly et al, 2019;Davies and Packer, 1990;Fridjonsson et al, 2013;Gallegos et al, 1987;Kleinberg et al, 1994;Kleinberg and Horsfield, 1990;McDonald et al, 2005;Monteilhet et al, 2006;Yao and Liu, 2012).…”
Section: Introductionmentioning
confidence: 99%