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In this module you will learn about
Porosity
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Topic Overview
2 Idealized Models
1 General Aspects 3 Measurments
of porosity
1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
General aspects
 One may distinguish between two types of porosity,
namely absolute and effective
 Absolute and effective porosity are distinguished by their
access capabilities to reservoir fluids
Art-micrograph of sandstone with oil
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Void spaces
contributes
to absolute
porosity
Permeable
spaces
contributes
to effective
porosity
1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Genetically the following types of porosity can be distinguished:
Rock media having both fracture and intergranular
pores are called double-porous or fracture-porous
media.
 Intergranular porosity
 Fracture porosity
 Micro- porosity
 Vugular porosity
 Intragranular porosity
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Consolidated
 From the point of view of pores susceptibility to mechanical
changes, one should distinguish between consolidated and
unconsolidated porous media
– Consolidated porous media pertain to sediments that have been compacted and
cemented to the degree that they become coherent, relatively solid rock
– A typical consequences of consolidation include an increase in density and
acoustic velocity, and a decrease in porosity
Sandstone with quartz cement and secondary
porosity
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Sorting
 Sorting is the tendency of
sedimentary rocks to have
grains that are similarly
sized--i.e., to have a
narrow range of sizes
 Poorly sorted sediment
displays a wide range of
grain sizes and hence has
decreased porosity
 Well-sorted indicates a
grain size distribution that
is fairly uniform
 Depending on the type of
close-packing of the
grains, porosity can be
substantial.
Photomicrographs of sorting in sandstones
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 2: Idealised Models
Parallel cylindrical pores
Regular cubic-packed spheres
Regular orthorhombic-
packed spheres
Regular rhombohedral-
packed spheres
Irregular-packed spheres with
different radii
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
• Estimation of porosity accounting to this model:
78,5%
or
785
,
0
4
2
2
2










rm
rn
m
n
r
V
V
b
p
Parallel Cylindrical Pores
e
bulk volum
-
V
volume
pore
-
V
e
bulk volum
in the
contained
cylinders
of
number
-
n
m
radius
pipe
-
r
b
p

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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
47,6%
or
476
,
0
6
1 







b
m
b
b
p
V
V
V
V
V
Regular Cubic-Packed Spheres
• Estimation of porosity accounting to this model:
3
3
m
3
b
p
3
4
8
3
4
8
1
rock)
by the
occupied
space
bulk
of
(volume
ume
matrix vol
-
V
2
e
bulk volum
-
V
volume
pore
-
V
r
r
r)
(

 









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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
39,5%
or
395
,
0
3
12
4
1
1 3
3








r
r
V
V
V
V
V
V
V
b
m
b
m
b
b
p 

• Estimation of porosity accounting to this model:
Regular Orthorhombic-Packed Spheres
 
spheres
packed
-
ic
orthorhomb
the
of
height
-
h
3
4
ume
matrix vol
-
V
3
4
60
sin
4
2
2
e
bulk volum
-
V
3
m
3
3
b
r
r
r
h
r
r








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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
26,0%
or
26
,
0
2
12
4
1
1 3
3








r
r
V
V
V
V
V
V
V
b
m
b
m
b
b
p 

• Estimation of porosity accounting to this model:
Regular Rhombohedral-Packed Spheres
r
r
r
r
r
h
r
r
2
2
4
on
tetrahedr
in the
height
-
h
3
4
ume
matrix vol
-
V
2
4
2
2
e
bulk volum
-
V
2
2
3
m
3
b









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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
• The figure shows an example of an idealised porous
medium represented by four populations of spheres
(sorted by radii)
• The histogram shows the hypothetical grain-size
distribution.
Irregular-Packed Spheres with Different Radii
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Porous medium blended with three types of sediment fractions:
– Fine pebble gravel
with porosity (pebble=0,30)
– Sand (sand=0,38)
– Fine sand (f.sand=0,33)
3,7%
or
037
,
0
. 

 
 pebble
sand
sand
f
Vb
Vp





















pebble
pebble
sand
sand,
sand
f.sand
pebble
b
f.sand,
f.sand
p
pebble
sand
f.sand
pebble
pebble
pebble
sand
f.sand
pebble
sand
sand
f.sand
pebble
f.sand
f.sand
.
V
V
V
V
V
V
V
V
V
V
V
V
V
V













b
p
tot
V
V
Example
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Measurement of porosity
Measurement of Porosity
Uncertainty
Well Logs
Core Analysis
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Full-diameter
Core Analysis Grain-volume
measurements based
on Boyle`s law
Bulk-volume
measurements
Pore-volume
measurements
Fluid-Summation
Method
Core Analysis
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.1: Full-diameter Core Analysis
• Used to measure the porosity of rocks that are distinctly
heterogeneous. (Ex: carbonates and fissured vugular
rocks)
• The same core-plug is a non-representative elementary
volume for this type of rock.
• In heterogeneous rocks, the local porosity may be highly
variable. It may include:
• micro-porosity
• intergranular porosity
• vugues
• fractures various combinations of these.
• A full-diameter core sample usually has a diameter of 5
inches (12,5 cm) and a length of 10 inches (25 cm)
• Does not differentiate between the actual types of porosity
involved.
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.2: Grain-Volume Measurements Based on
Boyle`s Law
• Injection and decompression of gas into the pores of a
fluid-free (vacuum), dry core sample.
• Either the pore volume or the grain volume can be
determined, depending upon the instrumentation and
procedures.
Porosity measurements based on the
Boyle`s law
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.2: Grain-Volume Measurements Based on
Boyle`s Law
• Helium gas is often used due to its following properties:
• The small size of helium molecules makes the gas rapidly penetrate
small pores
• Helium is an inert gas that will not be absorbed on the rock surface and
thus yield erroneous results
• Alternatives: N2 and CO2
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
• Calculation of the grain volume
• Ideal gas law:
• In case of vacuum inside the sample chamber:
• Assuming adiabatic conditions, we obtains:
Section 3.2: Grain-Volume Measurements Based on
Boyle`s Law
)
(
2
1 g
s
ref
ref V
V
V
p
V
p 


2
1
2
2
p
V
p
V
p
V
p
V
ref
s
ref
g



nRT
pV 
V
p
V
p 2
1
1 
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.3: Bulk-Volume Measurements
• This technique uses the Archimedes` principle of mass
displacement:
• The core sample is first saturated with a wetting fluid and then
weighed.
• The sample is then submerged in the same fluid and its submerged
weight is measured.
• The bulk volume is the difference between the two weights
divided by the density of the fluid
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.3: Bulk-Volume Measurements
• Fluids normally used:
• Water which can easily be evaporated afterwards.
• Mercury which normally not enters the pore space in a core sample due
to its non-wetting capability and its large interfacial energy against air.
• A very accurate measurement, with a uncertainty of
0,2%.
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.3: Bulk-Volume Measurements
• Example: Uncertainty analysis in measuring the bulk
volume using Archimedes` principle.
• The core is measured in two steps:
– Weighing the sample in a cup of water; m1 (Assuming 100%
water saturation)
– Then weighting the sample in air as it is removed from the cup; m2
• The bulk volume is:
• Differentiating the equation above gives us:
w
b
m
m
V

1
2 

w
w
b
b
b
b dr
r
V
dm
m
V
dm
m
V
dV








 1
1
2
2












w
w
w
b
d
m
m
dm
m
m
dm
m
m
dV


 1
2
1
1
2
2
1
2
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.3: Bulk-Volume Measurements
• If the density measurement as well as the two mass-
measurements above, is considered to be independent
measurements, the relative uncertainty in the bulk volume
is:
• It may also be written as:
• If the uncertainty in determined the water density is
estimated to 0,1% and the weighting accuracy is equal to
0,1g , we find a relative uncertainty in the bulk volume of
approximately 0,5%.
2
2
1
2
2
2 






 



















 
w
w
m
m
m
V
V
b
b


2
2
2 






 








 








 
w
w
b
w
b
b
V
m
V
V



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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.4: Pore-Volume Measurements
• A core sample is placed in a rubber sleeve holder that has
no voids space around.
• This is called a Hassler holder, see fig.
• Helium or one of its substitutes is injected into the core
plug through the end stem.
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.4: Pore-Volume Measurements
• Calculations of the pore volume
• It is important to notice that the Hassler core holder has to
be coupled to a volume of known reference, Vref.
 
 
 
0
2
1
0
2
2
1
2
1
0
p
p
p
where
and
ref
p
ref
p
ref
V
p
p
p
p
p
V
nRT
V
V
p
nRT
V
p
V
p









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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.5: Fluid-Summation Method
• Technique is to measure the volume of gas, oil and water
present in the pore space of a fresh or preserved core of
known bulk volume.
• The core sample is divided into two parts:
• One part (ca. 100 g) is crushed and placed in a fluid-extraction resort.
Vaporised water and oil move down and are collected in a calibrated
glassware, where their volumes are measured.
• Second part of the rock sample (ca. 30 g) is weighed and then placed in
a pycnometer, filled with mercury. The bulk volume is determined,
measuring the volume of the displaced mercury.
• Then the pressure of the mercury, PHg , is raised to 70 bar.
At this pressure mercury are filling the pore space
originally occupied with gas. Gas volume can then be
calculated
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.5: Fluid-Summation Method
• The laboratory procedure provides the following
information:
• First sub sample gives the rock`s weight, WS1 , and the volumes of oil,
Vo1 , and water, VW1 , are recorded.
• Second sub sample gives the volume of gas, Vg2 , and the rock`s bulk
volume, Vb2.
• Fraction of the gas-bulk volume:
• Also:
g
b
g
g S
V
V
f 


2
2
and
V
W app
b
s 

 1
1
2
1
2
1
2
2
s
s
b
b
app
b
s
W
W
V
V
V
W 


 
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.5: Fluid-Summation Method
• The formation oil- and water factor are calculated as follow:
• The sum of the fluid-volume factor then gives the porosity value:
o
b
o
o S
V
V
f 


1
1
w
b
w
w S
V
V
f 


1
1
  
 




 g
w
o
g
w
o S
S
S
f
f
f
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Section 3.5: Fluid-Summation Method
• Example: Use of pycnometer in matrix volume calculation.
• In order to define the matrix volume, Vm , of a core sample,
the following measuring steps are carried out:
1. The pycnometer cell is fully saturated with mercury.
2. The pycnometer piston is withdrawn and a gas (air) volume of V0 is
measured.
3. The core sample is placed in the cell, and the cell volume is sealed. The
equilibrium condition inside the cell is written:
4. Mercury is injected into the cell and a new gas volume, V1 , and
pressure, is measured.
5. New equilibrium is reached and we write:
• Finally; the matrix volume is found as follows:
 
m
V
V
p 
0
0
 
m
V
V
p 
1
1
0
1
0
0
1
1
p
p
V
p
V
p
Vm



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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Porosity Estimation from Geophysical Well Logs
• Porosity can be estimated from:
– Formation resistivity factor
– Microresistivity log
– Neutron-gamma log
– Density (gamma-gamma) log
– Acoustic (sonic) log
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Potential Error in Porosity Estimation
• Experimental data
– Involve a degree of uncertainty related to the possible
measurement errors
– The measurement of porosity is normally a function of Vp, Vm
and/or Vb
)
,
,
( b
p
m V
V
V
f


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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
Potential Error in Porosity Estimation
b
p
V
V


b
b
p
p
V
dV
V
dV
d




2
2







 








 


b
b
p
p
V
V
V
V


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If the porosity is defined as
The equation can be differentiated
The potential error of prosity measurement is then
1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
FAQ
 Add Q&A
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1 General Aspects
2 Idealised Models
3 Measurements
of Porosity
Developers References
Topic Overview
Titlepage
References
Figures taken with permission from the authors of
Reservoarteknikk1: A.B. Zolotukhin and J.-R. Ursin
Figures also taken with permission from Ola Ketil Siqveland
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Porosity.ppt

  • 1. In this module you will learn about Porosity Press the button to start
  • 2. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Topic Overview 2 Idealized Models 1 General Aspects 3 Measurments of porosity
  • 3. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage General aspects  One may distinguish between two types of porosity, namely absolute and effective  Absolute and effective porosity are distinguished by their access capabilities to reservoir fluids Art-micrograph of sandstone with oil Back Next Void spaces contributes to absolute porosity Permeable spaces contributes to effective porosity
  • 4. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Genetically the following types of porosity can be distinguished: Rock media having both fracture and intergranular pores are called double-porous or fracture-porous media.  Intergranular porosity  Fracture porosity  Micro- porosity  Vugular porosity  Intragranular porosity Back Next
  • 5. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Consolidated  From the point of view of pores susceptibility to mechanical changes, one should distinguish between consolidated and unconsolidated porous media – Consolidated porous media pertain to sediments that have been compacted and cemented to the degree that they become coherent, relatively solid rock – A typical consequences of consolidation include an increase in density and acoustic velocity, and a decrease in porosity Sandstone with quartz cement and secondary porosity Back Next
  • 6. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Sorting  Sorting is the tendency of sedimentary rocks to have grains that are similarly sized--i.e., to have a narrow range of sizes  Poorly sorted sediment displays a wide range of grain sizes and hence has decreased porosity  Well-sorted indicates a grain size distribution that is fairly uniform  Depending on the type of close-packing of the grains, porosity can be substantial. Photomicrographs of sorting in sandstones Back Next
  • 7. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 2: Idealised Models Parallel cylindrical pores Regular cubic-packed spheres Regular orthorhombic- packed spheres Regular rhombohedral- packed spheres Irregular-packed spheres with different radii Back Next
  • 8. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage • Estimation of porosity accounting to this model: 78,5% or 785 , 0 4 2 2 2           rm rn m n r V V b p Parallel Cylindrical Pores e bulk volum - V volume pore - V e bulk volum in the contained cylinders of number - n m radius pipe - r b p  Back Next
  • 9. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage 47,6% or 476 , 0 6 1         b m b b p V V V V V Regular Cubic-Packed Spheres • Estimation of porosity accounting to this model: 3 3 m 3 b p 3 4 8 3 4 8 1 rock) by the occupied space bulk of (volume ume matrix vol - V 2 e bulk volum - V volume pore - V r r r) (             Back Next
  • 10. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage 39,5% or 395 , 0 3 12 4 1 1 3 3         r r V V V V V V V b m b m b b p   • Estimation of porosity accounting to this model: Regular Orthorhombic-Packed Spheres   spheres packed - ic orthorhomb the of height - h 3 4 ume matrix vol - V 3 4 60 sin 4 2 2 e bulk volum - V 3 m 3 3 b r r r h r r         Back Next
  • 11. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage 26,0% or 26 , 0 2 12 4 1 1 3 3         r r V V V V V V V b m b m b b p   • Estimation of porosity accounting to this model: Regular Rhombohedral-Packed Spheres r r r r r h r r 2 2 4 on tetrahedr in the height - h 3 4 ume matrix vol - V 2 4 2 2 e bulk volum - V 2 2 3 m 3 b          Back Next
  • 12. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage • The figure shows an example of an idealised porous medium represented by four populations of spheres (sorted by radii) • The histogram shows the hypothetical grain-size distribution. Irregular-Packed Spheres with Different Radii Back Next
  • 13. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Porous medium blended with three types of sediment fractions: – Fine pebble gravel with porosity (pebble=0,30) – Sand (sand=0,38) – Fine sand (f.sand=0,33) 3,7% or 037 , 0 .      pebble sand sand f Vb Vp                      pebble pebble sand sand, sand f.sand pebble b f.sand, f.sand p pebble sand f.sand pebble pebble pebble sand f.sand pebble sand sand f.sand pebble f.sand f.sand . V V V V V V V V V V V V V V              b p tot V V Example Back Next
  • 14. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Measurement of porosity Measurement of Porosity Uncertainty Well Logs Core Analysis Back Next
  • 15. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Full-diameter Core Analysis Grain-volume measurements based on Boyle`s law Bulk-volume measurements Pore-volume measurements Fluid-Summation Method Core Analysis Back Next
  • 16. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.1: Full-diameter Core Analysis • Used to measure the porosity of rocks that are distinctly heterogeneous. (Ex: carbonates and fissured vugular rocks) • The same core-plug is a non-representative elementary volume for this type of rock. • In heterogeneous rocks, the local porosity may be highly variable. It may include: • micro-porosity • intergranular porosity • vugues • fractures various combinations of these. • A full-diameter core sample usually has a diameter of 5 inches (12,5 cm) and a length of 10 inches (25 cm) • Does not differentiate between the actual types of porosity involved. Back Next
  • 17. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.2: Grain-Volume Measurements Based on Boyle`s Law • Injection and decompression of gas into the pores of a fluid-free (vacuum), dry core sample. • Either the pore volume or the grain volume can be determined, depending upon the instrumentation and procedures. Porosity measurements based on the Boyle`s law Back Next
  • 18. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.2: Grain-Volume Measurements Based on Boyle`s Law • Helium gas is often used due to its following properties: • The small size of helium molecules makes the gas rapidly penetrate small pores • Helium is an inert gas that will not be absorbed on the rock surface and thus yield erroneous results • Alternatives: N2 and CO2 Back Next
  • 19. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage • Calculation of the grain volume • Ideal gas law: • In case of vacuum inside the sample chamber: • Assuming adiabatic conditions, we obtains: Section 3.2: Grain-Volume Measurements Based on Boyle`s Law ) ( 2 1 g s ref ref V V V p V p    2 1 2 2 p V p V p V p V ref s ref g    nRT pV  V p V p 2 1 1  Back Next
  • 20. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.3: Bulk-Volume Measurements • This technique uses the Archimedes` principle of mass displacement: • The core sample is first saturated with a wetting fluid and then weighed. • The sample is then submerged in the same fluid and its submerged weight is measured. • The bulk volume is the difference between the two weights divided by the density of the fluid Back Next
  • 21. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.3: Bulk-Volume Measurements • Fluids normally used: • Water which can easily be evaporated afterwards. • Mercury which normally not enters the pore space in a core sample due to its non-wetting capability and its large interfacial energy against air. • A very accurate measurement, with a uncertainty of 0,2%. Back Next
  • 22. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.3: Bulk-Volume Measurements • Example: Uncertainty analysis in measuring the bulk volume using Archimedes` principle. • The core is measured in two steps: – Weighing the sample in a cup of water; m1 (Assuming 100% water saturation) – Then weighting the sample in air as it is removed from the cup; m2 • The bulk volume is: • Differentiating the equation above gives us: w b m m V  1 2   w w b b b b dr r V dm m V dm m V dV          1 1 2 2             w w w b d m m dm m m dm m m dV    1 2 1 1 2 2 1 2 Back Next
  • 23. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.3: Bulk-Volume Measurements • If the density measurement as well as the two mass- measurements above, is considered to be independent measurements, the relative uncertainty in the bulk volume is: • It may also be written as: • If the uncertainty in determined the water density is estimated to 0,1% and the weighting accuracy is equal to 0,1g , we find a relative uncertainty in the bulk volume of approximately 0,5%. 2 2 1 2 2 2                               w w m m m V V b b   2 2 2                              w w b w b b V m V V    Back Next
  • 24. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.4: Pore-Volume Measurements • A core sample is placed in a rubber sleeve holder that has no voids space around. • This is called a Hassler holder, see fig. • Helium or one of its substitutes is injected into the core plug through the end stem. Back Next
  • 25. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.4: Pore-Volume Measurements • Calculations of the pore volume • It is important to notice that the Hassler core holder has to be coupled to a volume of known reference, Vref.       0 2 1 0 2 2 1 2 1 0 p p p where and ref p ref p ref V p p p p p V nRT V V p nRT V p V p          Back Next
  • 26. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.5: Fluid-Summation Method • Technique is to measure the volume of gas, oil and water present in the pore space of a fresh or preserved core of known bulk volume. • The core sample is divided into two parts: • One part (ca. 100 g) is crushed and placed in a fluid-extraction resort. Vaporised water and oil move down and are collected in a calibrated glassware, where their volumes are measured. • Second part of the rock sample (ca. 30 g) is weighed and then placed in a pycnometer, filled with mercury. The bulk volume is determined, measuring the volume of the displaced mercury. • Then the pressure of the mercury, PHg , is raised to 70 bar. At this pressure mercury are filling the pore space originally occupied with gas. Gas volume can then be calculated Back Next
  • 27. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.5: Fluid-Summation Method • The laboratory procedure provides the following information: • First sub sample gives the rock`s weight, WS1 , and the volumes of oil, Vo1 , and water, VW1 , are recorded. • Second sub sample gives the volume of gas, Vg2 , and the rock`s bulk volume, Vb2. • Fraction of the gas-bulk volume: • Also: g b g g S V V f    2 2 and V W app b s    1 1 2 1 2 1 2 2 s s b b app b s W W V V V W      Back Next
  • 28. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.5: Fluid-Summation Method • The formation oil- and water factor are calculated as follow: • The sum of the fluid-volume factor then gives the porosity value: o b o o S V V f    1 1 w b w w S V V f    1 1           g w o g w o S S S f f f Back Next
  • 29. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Section 3.5: Fluid-Summation Method • Example: Use of pycnometer in matrix volume calculation. • In order to define the matrix volume, Vm , of a core sample, the following measuring steps are carried out: 1. The pycnometer cell is fully saturated with mercury. 2. The pycnometer piston is withdrawn and a gas (air) volume of V0 is measured. 3. The core sample is placed in the cell, and the cell volume is sealed. The equilibrium condition inside the cell is written: 4. Mercury is injected into the cell and a new gas volume, V1 , and pressure, is measured. 5. New equilibrium is reached and we write: • Finally; the matrix volume is found as follows:   m V V p  0 0   m V V p  1 1 0 1 0 0 1 1 p p V p V p Vm    Back Next
  • 30. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Porosity Estimation from Geophysical Well Logs • Porosity can be estimated from: – Formation resistivity factor – Microresistivity log – Neutron-gamma log – Density (gamma-gamma) log – Acoustic (sonic) log Back Next
  • 31. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Potential Error in Porosity Estimation • Experimental data – Involve a degree of uncertainty related to the possible measurement errors – The measurement of porosity is normally a function of Vp, Vm and/or Vb ) , , ( b p m V V V f   Back Next
  • 32. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage Potential Error in Porosity Estimation b p V V   b b p p V dV V dV d     2 2                      b b p p V V V V   Back Next If the porosity is defined as The equation can be differentiated The potential error of prosity measurement is then
  • 33. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage FAQ  Add Q&A Back Next
  • 34. 1 General Aspects 2 Idealised Models 3 Measurements of Porosity Developers References Topic Overview Titlepage References Figures taken with permission from the authors of Reservoarteknikk1: A.B. Zolotukhin and J.-R. Ursin Figures also taken with permission from Ola Ketil Siqveland Back Next