The Magnetic Resonance Imaging Log Characterized by Comparison with Petrophysical Properties and Laboratory Core Data

Coates, George R.; Peveraro, R.C.A.; Hardwick, Anthony; Roberts, David E.

doi:10.2118/22723-ms

Cited by 82 publications

(24 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, a logging technique is less attractive if one needs core data of the same bore hole for calibration. In the present case of low Allermoehe sandstone, permeability prediction with an empirical equation of the type of the so-called TimurCoates equation (COATES et al, 1991) was not satisfactory, as it yielded much lower values than directly measured gas permeabilities. Therefore, we used a permeability equation of the Kozeny-Carman type (KOZENY, 1927, CARMAN, 1957, which involves porosity, tortuosity and effective hydraulic pore radius r eff .…”

Section: Introductioncontrasting

confidence: 70%

Permeability Prediction for Low Porosity Rocks by Mobile NMR

Pape

Arnold

Pechnig

et al. 2009

Pure appl. geophys.

View full text Add to dashboard Cite

Estimating permeability from NMR well logs or mobile NMR core scanner data is an attractive method as the measurements can be performed directly in the formation or on fresh cores right after drilling. Furthermore, the method is fast and non-destructive. Compared to T 1 relaxation times, commonly measured T 2 distributions are influenced by external and internal magnetic field gradients. We performed two-dimensional T 1 and T 2 relaxation experiments on samples of Rhaetian sandstone, a rock with low porosity and small pore radii, using a mobile NMR core scanner which operates within a nearly homogeneous static magnetic field. Because small pore sizes are associated with high internal magnetic field gradients, standard methods from NMR logging in the oil industry cannot be applied for accurate permeability prediction. Therefore, a new model theory was developed, which describes the pore radius dependence of the surface relaxivity q 2 by both an analytical and a more practical empirical equation. Using corrected q 2 values, permeability can be predicted accurately from the logarithmic mean of the T 2 distribution and the physically based Kozeny-Carman equation. Additional core plug measurements of structural parameters such as porosity, permeability, specific inner surface area and pore radius distributions supported the NMR results.

show abstract

Section: Introductioncontrasting

confidence: 70%

Permeability Prediction for Low Porosity Rocks by Mobile NMR

Pape

Arnold

Pechnig

et al. 2009

Pure appl. geophys.

View full text Add to dashboard Cite

show abstract

“…The permeability is often related to porosity through empirical relations since it depends upon on various porous media characteristics including porosity, distribution, pore shape, and pore connectivity. These relations are developed based on pore or grain sizes and on surface-area measurements, (Carman 1937;Chauvetea and Zaitoun 1981;Van Baaren 1979;Coates et al 1991) The Kozeny-Carman equation (Carman 1937;Bear 1972;Batu 1998,), provides relationship between permeability (ε) and the effective grain diameter (d eff ) as…”

Section: Porosity and Permeability Relationsmentioning

confidence: 99%

Hydrodynamic Characterization of Nickel Metal Foam, Part 2: Effects of Pore Structure and Permeability

Miwa¹,

Revankar²

2011

Transp Porous Med

View full text Add to dashboard Cite

In this article, the structural characterization of chemical vapor deposition (CVD) nickel metal foam is presented. Scanning electron microscope and post image processing were used to carefully analyze the surface of the nickel metal foams. Data on foam unit cell, ligament thickness, projected pore diameter, and averaged porosity was obtained. Unit cell and projected pore diameters of CVD nickel metal foam possess Gaussian-like distribution. Characteristics of pore structure and its effect on permeability in Darcian flow regime were analyzed. The relations between the permeability, pore size, and porosity are presented. Present and previous data are compared with these relations. Measurement results indicate that the permeability or the viscous conductivity of the CVD processed metal foam is affected not only by the pore size, and porosity but also by the ligament structure.

show abstract

“…The permeability of the porous matrix may be calculated using the traditional equations based on the relationships between the permeability and pore geometry and concentration established for homogeneous well-sorted formations (Carman 1956;Timur 1968;Coates et al 1991). However, the introduction of the secondary-pore permeability represented by inclusions of different form and size is a complicated question, because, at present, the permeability is only defined for bodies with, at least, one infinite size as cylinder, slab, and layer limited by two parallel planes (Gueguen and Palciauskas 1994).…”

Section: Introductionmentioning

confidence: 99%

Permeability of the Fluid-Filled Inclusions in Porous Media

et al. 2009

View full text Add to dashboard Cite

In this article, we propose an approach to obtain the equivalent permeability of the fluid-filled inclusions embedded into a porous host in which a fluid flow obeys Darcy's law. The approach consists in the comparison of the solutions for one-particle problem describing the flow inside the inclusion, firstly, by the Stokes equations and then by using Darcy's law. The results obtained for spheres (3D) and circles (2D) demonstrate that the inclusion equivalent permeability is a function of its radius and, additionally, depends on the host permeability. Based on this definition of inclusion permeability and using effective medium method, we have calculated the effective permeability of the double-porosity medium composed of the permeable matrix (with small scale pores) and large scale secondary spherical pores.

show abstract

The Magnetic Resonance Imaging Log Characterized by Comparison with Petrophysical Properties and Laboratory Core Data

Cited by 82 publications

References 1 publication

Permeability Prediction for Low Porosity Rocks by Mobile NMR

Permeability Prediction for Low Porosity Rocks by Mobile NMR

Hydrodynamic Characterization of Nickel Metal Foam, Part 2: Effects of Pore Structure and Permeability

Permeability of the Fluid-Filled Inclusions in Porous Media

Contact Info

Product

Resources

About