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Research Paper

Effects of pore clusters on the permeability, formation factor and porosity exponent of porous media

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Pages 73-85 | Received 19 Jul 2018, Accepted 30 Sep 2018, Published online: 12 Oct 2018
 

ABSTRACT

Micropore and pore evolution both severely influence pore structure and transport properties. The micropore connects isolated pores to predominate connected pore cluster while the pore evolution generates isolated pores. Therefore, investigating separate impacts of predominate and remaining pore clusters is the first step to modify the existing electrical resistivity and permeability models with consideration of the micropore and pore evolution.

The main pore clusters in six porous media including sandstone and carbonate were first extracted. Then, the pore geometry, topology, electrical resistivity and permeability from the main pore cluster compared with them from all the pore clusters in the same porous medium. The calculations of pore morphological and the petrophysical properties were all based on the pore networks extracted from the porous media by maximal ball method.

The predominant pore cluster mainly determined the pore geometry, electrical resistivity and permeability of the corresponded porous medium. However, the isolated pore clusters from pore evolution undermined the pore connectivity. The developments of the remaining pore clusters slightly affected the electrical resistivity and permeability while seriously impacted the porosity exponents. Therefore, the micropore could increase the pore connectivity, and then slightly increase the permeability and reduce the electrical resistivity.

Nomenclature

MB=

– maximal ball

RW=

– random walk

X-CT=

– X-ray computerized tomography

3D=

– three dimensions

2D=

– two dimensions

PTAR=

– pore to throat cross sectional area ratio

G=

– shape factor

SSA=

– specific surface area

FF=

– formation factor

As=

– surface area of pore or throat

V=

– volume of pore or throat

L=

– Length

A=

– cross-sectional area

R=

– radius of pore or throat

N=

– number of isolated objects

C=

– number of redundant connections within the pore space

H=

– number of totally enclosed cavities

χ=

– Euler number

Nnode=

– number of nodes connected at least by one bond

Nbond=

– number of bonds

d=

– dimensionality of the space

<r2>=

– mean-square displacement

D=

– diffusion coefficient of walkers

t=

– time step

a=

– electric current flow

ve=

– voltage

ge=

– electrical conductance

R0=

– resistivity of rock fully saturated by a single phase

p=

– single phase in rock

ats=

– macroscopic total current flow

ΔVe=

– voltage drop

Ap=

– cross sectional area occupied by single phase p

Rp=

– resistivity of the single phase p

Rw=

– resistivity of the brine

σw=

– conductivity of the brine

σ0=

– conductivity of the porous medium full of brine

K=

– absolute permeability

μp=

– viscosity of single phase p

qtsp=

– total flow rate of single phase, p

Фinlet=

– potential in the inlet

Фoutlet=

– potential in the outlet

qp=

– flow rate of single phase p

gp=

– fluid conductance of single phase p

Ф=

– phase potential

lij=

– distance between two pore centers

li=

– pore body length of pore i from the pore-throat interface to the pore center

lj=

– pore body length of pore j from the pore-throat interface to the pore center

lt=

– throat length purely existing in the throat

ϕ=

– porosity

τ=

– tortuosity

CD=

– conductance

CDt=

– conductance of the porous medium

CD1=

– conductance of the first tube in the porous medium

CD2=

– conductance of the second tube in the porous medium

CDw=

– conductance of the porous medium with porosity equal to 100%

Acknowledgments

This investigation is financially supported by National Science &Technology Major Special Project (NO.2016ZX05006-002), China Postdoctoral Science Fund (No. 2018M632716), Shengli Oilfield Postdoctoral Fund (GKB1611) and Shandong Province Postdoctoral Innovative Project Special Fund.

August 14, 2018

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported by the China Postdoctoral Science Foundation [NO. 2018M632716]; Ministry of Science and Technology of the People's Republic of China [No. 2016ZX05006-002]; Shandong Province Postdoctoral Innovative special funded project [No. 2017-120]; Postdoctoral Research Foundation of China [No. GKB1611].

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