scholarly journals A laboratory study to estimate pore geometric parameters of sandstones using complex conductivity and nuclear magnetic resonance for permeability prediction

2016 ◽  
Vol 52 (6) ◽  
pp. 4321-4337 ◽  
Author(s):  
Gordon Osterman ◽  
Kristina Keating ◽  
Andrew Binley ◽  
Lee Slater
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Laboratory Study ◽  
Geometric Parameters ◽  
Complex Conductivity ◽  
Permeability Prediction ◽  
Nuclear Magnetic

Estimating permeability of sandstone samples by nuclear magnetic resonance and spectral-induced polarization

Geophysics ◽  
2010 ◽  
Vol 75 (6) ◽  
pp. E215-E226 ◽  
Author(s):  
Andreas Weller ◽  
Sven Nordsiek ◽  
Wolfgang Debschütz
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Current Flow ◽  
Pore Space ◽  
Induced Polarization ◽  
Western Desert ◽  
Permeability Prediction ◽  
Spectral Induced Polarization ◽  
Space Geometry ◽  
Nuclear Magnetic

Two techniques to estimate permeability are compared in this paper: nuclear magnetic resonance (NMR) and spectral-induced polarization (SIP). Both methods are based on relaxation processes. NMR records the relaxation of hydrogen nuclei after excitation in an external magnetic field. The phenomenon of induced polarization can be characterized by a relaxation of ions after excitation by an electric field. Hydrogen nuclei are concentrated in the pore water, the current flow is restricted to the pore space for most reservoir rocks, and permeability is related to the pore space geometry. Based on the similarity between fluid movement and current flow in the pore space, different relations have been published linking parameters derived from NMRand SIP data to predict permeability. NMR, SIP and permeability data have been acquired on 53 sandstone samples of the cretaceous Bahariya Formation (Western Desert, Egypt) including 27 samples showing a lamination that causes anisotropy. We compare the applicability of known and generalized relations for permeability prediction including isotropic and anisotropic samples. Because NMR relaxation ignores directionality of pore space geometry, the known relations provide only a weak accuracy in permeability estimation. The integrating parameters derived from a Debye decomposition of SIP data are partly sensitive to anisotropy. A generalized power-law relation using resistivity, chargeability, and mean relaxation time provide a reliable permeability prediction for isotropic and anisotropic samples.

Laboratory Study of the Effect of Grain Size, Mineralogy and Fluid on Nuclear Magnetic Resonance T 2 Distribution

2021 ◽  
Author(s):  
Ayorinde Janet Olaide ◽  
Livo Kurt ◽  
Manika Prasad ◽  
Olugbenga Ehinola ◽  
Durogbitan Abimbola
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Grain Size ◽  
Magnetic Resonance ◽  
Laboratory Study ◽  
Nuclear Magnetic

scholarly journals Laboratory study of cyclic liquid solvent injection process for heavy oil recovery through computed tomography

DYNA ◽  
2019 ◽  
Vol 86 (210) ◽  
pp. 81-90
Author(s):  
Maria Isabel Sandoval Martinez ◽  
Samuel Fernando Muñoz Navarro
Keyword(s):  
Computed Tomography ◽  
Nuclear Magnetic Resonance ◽  
Porous Medium ◽  
Magnetic Resonance ◽  
Laboratory Study ◽  
Oil Recovery ◽  
Heavy Oil ◽  
Solvent Injection ◽  
Injection Process ◽  
Nuclear Magnetic

The cyclic solvents injection has been considered for years as an improved non-thermal enhanced oil recovery method for the recovery of heavy oil, which includes three stages: injection, soaking, and production. This paper describes a laboratory study with Computed Tomography and Nuclear Magnetic Resonance of a cyclic solvent injection process in a porous medium, using naphtha as a liquid diluent to recover a Colombian heavy oil in a porous medium at 84 °C. The core was scanned during the soaking time to determine the expansion behavior of the mixing zone by analyzing the density profiles obtained after each scan. It was also scanned after the production stage to observe the distribution of saturation in the porous medium after each cycle. Finally, the fluids recovered from porous medium were taken to a nuclear magnetic resonance equipment to determine the recovery factor.

A Stripline-Type Inductor Used for NMR Detection

2012 ◽  
Vol 198-199 ◽  
pp. 1141-1146
Author(s):  
Bao Song Wu ◽  
Li Zhi Xiao ◽  
Xiao Nan Li ◽  
Bao Xin Guo
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Design Theory ◽  
High Sensitivity ◽  
Geometric Parameters ◽  
Field Homogeneity ◽  
Nuclear Magnetic

This paper tries to design a stripline-type inductor with high sensitivity that is used for micro-fluid in downhole nuclear magnetic resonance (NMR) detection. It discusses the design theory for the probe, and does analysis and simulation to guide the optimal geometric parameters. Radiofrequency B1 field homogeneity is evaluated. Finally, the prototype is made.

scholarly journals Methodology for the Permeability Prediction using Spatial Encoding of the Magnetic Field in Nuclear Magnetic Resonance (NMR)

2021 ◽  
Vol 39 (1) ◽  
Author(s):  
José Carlos Xavier da Silva ◽  
Giovanni Chaves Stael ◽  
Silvia Lorena Bejarano Bermudez ◽  
Luis Jacobo Aguilera Aguilera ◽  
Rodrigo Bagueira de Vasconcellos Azeredo
Keyword(s):  
Magnetic Field ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Spatial Encoding ◽  
Permeability Prediction ◽  
The Magnetic Field ◽  
Nuclear Magnetic
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