permeability relations in rocks (2)

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    144  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

    1-2.1.4 Porosity/Permeability relations in rocks

    The porosity/permeability relations in rocks are extremely useful in practice, mainly since

     permeability is a “no-logging parameter”: despite all attempts (and the corresponding

     publications), there is no reliable log analysis method to continuously measure the

     permeability of the reservoir rocks in the borehole.

    Discrete hydraulic methods are obviously available (e.g. mini-test), but they are costly.

    Reservoir geologists therefore would like to find a relation between porosity (easilymeasured using log analysis techniques) and permeability, so that it can be easily deduced.

    Most of the time, this is a risky operation.

    The complexity of the φ-K relation is related to the complexity of the porous space itself.

    We will therefore start by describing the simple case of the “ideal” intergranular porous

    medium as encountered in the Fontainebleau sandstones. We will then study the carbonate

    rocks and the common sandstones.

    A) Simple porous networks: Example of Fontainebleau Sandstone

    a) Fontainebleau sandstones (Fig. 1-2.13)

    The Fontainebleau sandstones (Paris region, France) are a rare example of simple natural

     porous media (intergranular porosity) exhibiting large porosity variations (from about 0.02

    to 0.28) with no major change of grain granulometry. This is an ideal example on which to

    study the porosity/permeability relation

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     1-2.1 • Intrinsic Permeability 145

    500 µm

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    146  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

     between 40 mm and 80 mm [Bourbié and Zinszner, 1985] indicates a double trend for the

    K – φ relation. For high porosities (between 0.08 and 0.25), all the experimental points lie

    fairly well on a curve of type K = f(φ3). Note that the power 3 corresponds to that of the

    Carman-Kozeny equation. For low porosities (φ < 0.08), we may observe large exponents

    suggesting a percolation threshold (§ 1-2.1.3D).

    Example of the Milly la Forêt “normal” sandstones

    In this book, we give results of a much larger sampling (but of the same type as the 1985

    samples and including them). To simplify the analysis, it is best to identify the origins of thevarious groups of samples studied. The results shown on Figure 1-2.14 concern about 340

    samples from a very restricted geographical area (Milly la Forêt). Due to their geological

    “unity”, the quality of the porosity/permeability relation is quite exceptional. The

    subdivisions (MZ2, etc.) correspond to different blocks measuring several decimetres in

    size, obtained from various points in a limited number of quarries. Note that the

     permeabilities of block MZ10 are slightly above the average: the granulometry is probably

    slightly coarser.Air permeability values are measured in “room condition” (falling head permeameter,

    § 1-2.1.2A, p. 131). The experimental permeabilities below 100 mD have been corrected for 

    the Klinkenberg effect according to the semiempirical formula (§ 1-2.1.2A)

    On Figures 1-2.14 the permeability axis uses a logarithmic scale (corresponding to the

    log-normal distribution of permeabilities). We describe both types of axis used for porosity.

    On the left hand figure, we use a linear axis (normal distribution of porosities) and on the

    right hand figure a logarithmic axis to show the power laws

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     1-2.1 • Intrinsic Permeability 147

    The value of the exponent is similar to that observed in the earlier studies. For low porosity

    samples (0.04 to 0.06), the Klinkenberg correction increases the value of this exponent even

    more, reaching 10. Such high exponents can only be explained by a percolation threshold 

    (about 0.05 porosity).

    To profit from the exceptional quality of the results on the Milly la Forêt sampling, we

    calculate the polynomial regression best fitting the experimental values, in order to obtain a

     basic datum for estimation of the φ-K laws of intergranular porosity media.

    A polynomial regression of order 3, on logarithmic values of φ and K, of type

    logK = a(log φ) 3 + b(logφ) 2 + c(logφ) + d,

    with the above values (corresponding to the case of porosities expressed as percentages)

    gives excellent results for porosities between 4% and 25%.

    “Microcrack” facies

    Some poorly porous samples have “microcracks”. They consist of strongly pronounced 

    grain joints that can be observed on thin section but even more clearly on epoxy pore cast

    (Figure 1-2.16). These “microcrack” facies have been identified due to the very strong

    acoustic anomalies generated by these cracks [Bourbié and Zinszner, 1985]. These facies

    must be considered separately when studying the φ-K relation. Figure 1-2.15 shows some

    sixty values corresponding to this type of sample (4 different series) As previously the

    a b c d

    11.17 –40.29 51.6 –20.22

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    148  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

    th t f l l (φ < 0 04) th d i bilit i l i ifi t

    Figure 1-2.16 Fontainebleau sandstone with “microcrack” facies (φ = 0.06). Photograph of thin section(red epoxy injected, § 2-2.1.1, p. 325) on the left and of epoxy pore cast, on the right (§ 2-2.1.3, p. 331).

    “Microcracks”, which correspond to grain contacts, can be clearly seen on the epoxy pore cast

    500 µm

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     1-2.1 • Intrinsic Permeability 149

    The percolation threshold at about 0.05 porosity is also clearly determined; it will prove

    extremely useful when discussing φ-K relations in double-porosity limestones.

    B) Porosity/Permeability relations in carbonate rocks

    The situation with carbonates is strikingly different from that observed in Fontainebleau

    sandstones. Figure 1-2.17 shows the φ-K relation (air permeability) for a set of about 1 500

    limestones and dolomites samples (diameter 4 cm) corresponding to a large variety of 

     petrogaphic texture. Note that in line with standard practice, and in spite of the fact that it is poorly adapted to the power laws, we have adopted the semilogarithmic representation

    which makes the graphs much easier to read on the porosity axis. The permeability

    dispersion is very high since, on the porosity interval most frequently encountered in

    reservoir rocks (0.1 to 0.3), the values extend over nearly four orders of magnitude. Put so

     bluntly, it is clear that there is no φ-K relation! Considering the microtexture of the rocks,

    some general trends may nevertheless be observed.

    a) Dolomites

    On Figures 1-2.17, the points corresponding to dolomites and dolomitic limestones are

    separated from the limestones. The dolomite/dolomitic limestone/limestone separation was

    made using the criterion of matrix density (§ 1-1.1.5, p. 26) choosing 2 770 kg/m3 as the

    lower limit of the dolomite and 2 710 kg/m3 as the upper limit of the limestones. We will

    only consider the case of the dolomites. Far fewer points are available (about 50) than for the

    limestones We can nevertheless make a few important comments Although dolomites are

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    150  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

    case of a very good producing well (over 10 000 barrels per day) The production log

    Figure 1-2.17 Porosity-Permeability relation in carbonate rocks(air permeability, Klinkenberg effect not corrected, about 1500 samples of diameter 4 cm)

    0.010.1 0.2

    Porosity (%)

    Permeability(mD)

    0.3 0.4 0.50

    0.1

    1

    10

    100

    1 000

    10 000

    100 000

    Limestone

    Dolomitic Lmst

    Dolomite

    Fontainebleau

    Power 3

    Power 5

    Power 7

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     1-2.1 • Intrinsic Permeability 151

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    152  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

    5 mm

    a

    b

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     1-2.1 • Intrinsic Permeability 153

    Example of oolitic limestones

    Oolitic limestones clearly illustrate the variability of the φ K relations These rocks whose

    Figure 1-2.20 Porosity-Permeability relation in limestone rocks of permeability greater than 0.1 mD.The values are extracted from the database of Figure 1-2.17

    The “Power 3, 5, 7” labels correspond to the relations K = f(φn) with powers 3, 5, 7.

    0.010 0.05 0.1 0.15 0.2 0.25

    Porosity (Fractional)

    Perme

    ability(mD)

    0.3 0.35 0.4 0.45 0.5

    0.1

    1

    10

    100

    1 000

    10 000

    Mudstone Pell-Wacke

    Oolite Biocl. Gr/Pk

    Crinoidal Grst Fontainebleau

    Power 3 Power 5

    Power 7

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    154  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

    a b c

    1 mm

    0 1

    1

    10

    100

    1 000

    10 000

    Permeability(mD)

    Oolite

    Fontainebleau

    Power 3

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     1-2.1 • Intrinsic Permeability 155

    Micrites

    Micrites (Fig. 1-2.22) are rocks mainly formed from microcrystalline calcite. The φ-K

    relation, however, is quite different from those of the oolitic limestones. In the φ-K space,

    the micrites are grouped along a line corresponding approximately to a power 3 law going

    through φ = 0.1; K  = 0.1 mD. This relative simplicity of the φ-K  relation in micrites is

    explained by the fact that they only have a single type of porosity. The porosimetry spectra

    (Fig. 1-2.23) are clearly unimodal and contrast with the other limestones.

    10 µm

    a

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    156  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

     – Limits of the φ-K space.

    The various φ-K relations described in this section respect the “matrix value” criterion

    (§ 2-1.3, p. 311). They come from plugs and the minimum homogenisation volume is

    millimetric. We can see on Figure 1-2.20 that these values define a φ-K space whose

    limits are quite well defined 

    • By the Fontainebleau sandstone line towards the high permeabilities

    • By the mudstone line (power 3 law) towards the low permeabilities

    Although these limits are very broad, they are nevertheless practical. When studying

    reservoirs, special attention must be paid to values outside this area. They generallyindicate measurement errors or faulty samples (e.g. fissured plug). In the other cases,

    however, a special study could prove well worthwhile.

     – Main trends

    Some main trends in the φ-K  relation may also be observed according to the

     petrographic texture of the limestones (Fig. 1-2.20).

    • The very poorly permeable limestones (K  < 0.1 mD) have not been shown on

    Figure 1-2.20. The porosity of limestones whose permeability is greater than thislow value is generally more than 10%, apart from the important exception of crinoi-

    dal limestones which have very little microporosity, hence the high permeabilities.

    Some oolitic grainstones lie within the same area of the φ-K space, for the same rea-

    son: proportionally very low microporosity.

    • For the other types of limestone, we observe a point of convergence at about

    φ = 0.1; K = 0.1 mD. If power 3, 5, 7 law graphs are plotted from this point, we

    observe that the mudstones are grouped on the power 3 law (see above), the

    k t l t d th 5 li d th bi l ti i k t

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     1-2.1 • Intrinsic Permeability 157

    The porosimetric diversity of carbonates is represented on Figure 1-2.23 where the

     porosimetry/permeability relation can be checked qualitatively (Purcell model, § 1-2.1.3B,

     p. 139). Although a basic point, we must reiterate the fact that the most important value

    required to understand  φ-K relations is the equivalent pore access radius. The dimension of 

    the pore itself has virtually no impact on permeability.

    0.01

    0.1

    1

    10

    100

    1000

    10000

    0 0.1 0.2 0.3 0.4 0.5

    Porosity (fractional)

    Permeability

    (mD)

    limestone

    Fontainebleau

    Power 3

    Power 5

    Power 7

    0

    1

    2

    Porosity(%)

      5-Bioclst.

    0.01 0.1 1

    Equivalent pore access radius ( µm, log)

    10 100

    0

    1

    2

    Porosity(%)

    8-Oolite

    0.01 0.1 1

    Equivalent pore access radius ( µm, log)

    10 100

    1

    2

    sity(%)   7-Oolite

    2

      4-Pellets

    0

    1

    2

    Poro

    sity(%)

    10-Oolite

    0.01 0.1 1

    Equivalent pore access radius ( µm, log)

    10 1000

    1

    2

    Porosity(%)

      6-Bioclst.

    0.01 0.1 1

    Equivalent pore access radius ( µm, log)

    10 100

    3-Micrite

    0.01 0.1 1

    Equivalent pore access radius ( µm, log)

    10 100

    0

    10

    Porosity(%)

    0

    1

    2

    Poro

    sity(%)

    9-Oolite

    0.01 0.1 1

    Equivalent pore access radius ( µm, log)

    10 100

    2

    %) 1-Micrite

    5

    Porosity(%)

    2-Micrite

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    158  Chapter 1-2 • Fluid Recovery and Modelling: Dynamic Properties

    Figure 1-2.24 Example of dolomitic limestone (ρma = 2750 kg/m3) with large,

     poorly-connected moldic pores. The mean sample characteristics (φ = 0.18; K = 7 mD)are not necessarily representative of the area photographed (heterogeneity). Despite saturation under

    vacuum, the red epoxy resin did not have time to invade all the vugs due to the low permeability

    5 mm