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Logs and petrophysicsPorosity and lithology Advanced 23 min read

Lithology from the photoelectric factor and spectral gamma ray

Lithology from the photoelectric factor and spectrometry means finding the mineral composition of a rock from measurements that reflect its composition almost independently of porosity. The photoelectric factor PeP_e of the litho-density log (a density log that also measures PeP_e) depends on the atomic numbers of the elements. It tells quartz, dolomite, calcite and heavy minerals apart, and together with density it identifies anhydrite as well. The spectral gamma ray log (SGR) splits the natural radioactivity into potassium, thorium and uranium. It shows what causes the radioactivity: clay minerals, micas, feldspars or organic matter. Together with the density and neutron logs, these data give the porosity and the fractions of two or three matrix minerals, in cases where the porosity methods alone are not enough.

Why it matters

Porosity methods tell the main minerals apart poorly. For the density and sonic logs, replacing quartz with calcite looks almost like a small change of porosity. And when there are three or four minerals, the composition from crossplots is ambiguous (Lithology and porosity from crossplots). The PeP_e of quartz, dolomite and calcite differs almost threefold, and porosity affects it only weakly. So the litho-density log answers the questions on which porosity, permeability and the choice of intervals depend: whether the cement in a sandstone is calcite or dolomite, and where in a carbonate the dolomite is and where the anhydrite is. Spectrometry answers a different question: what exactly in the rock is radioactive. It protects against errors in shale volume. An arkosic sandstone (a sandstone rich in feldspar) classed as shale by the gamma ray log (GR) is a missed reservoir, and uranium in a shale is a clue to a source rock (the rock that generated the oil).

Quick refresher

  • PeP_e is given per electron, so what mixes by volume is not PeP_e but the volumetric cross section U=PeρeU = P_e\rho_e. The PeP_e of a rock is an average weighted by the number of electrons: water counts for half of its volume, and gas for almost nothing. Pores lower PeP_e only a little, so it points to the matrix mineral.
  • On the density–PeP_e crossplot the mineral lines are almost vertical. Density gives the porosity, and PeP_e gives the composition. For two known minerals the problem is linear in the coordinates ρb\rho_b and UU, so it can be solved exactly.
  • The apparent matrix density ρmaa\rho_{maa} and the apparent volumetric cross section UmaaU_{maa} come from a ray drawn from the fluid point through the rock point and continued to zero porosity. Both mix by volume, so a mixture of quartz, calcite and dolomite lies inside their triangle, and its position in the triangle gives the volume fractions.
  • On the UmaaU_{maa}–ρmaa\rho_{maa} plane, gas raises the point almost vertically and heavy minerals take it to the right. Anhydrite lies below and to the right of calcite, and shale below dolomite. Vugs do not shift the point. Barite in the mud makes PeP_e unusable.
  • Potassium and thorium mix by mass. A rock whose radioactivity comes from one mineral lies on the straight line Th/K = const through the origin. The ratio grows from feldspars (below 0.5), through glauconite (about 1), micas and illite (about 1–4) and smectite, to kaolinite and chlorite (above 10).
  • Organic matter deposits uranium in an oxygen-free environment, and groundwater carries it. We calibrate its relation to organic carbon content against core. Uranium in fractures, stylolites (jagged seams made by pressure solution) and scale on pipes has nothing to do with organic matter.
Key relationships
U=Pe ρe=∑iViUiU = P_e\,\rho_e = \sum_i V_i U_i

the volumetric cross section mixes by the volumes of the components

Pe=∑iViρe,iPe,i∑iViρe,iP_e = \dfrac{\sum_i V_i\rho_{e,i}P_{e,i}}{\sum_i V_i\rho_{e,i}}

the photoelectric factor is an average over electrons

ρmaa=ρb−ϕtaρf1−ϕta\rho_{maa} = \dfrac{\rho_b - \phi_{ta}\rho_f}{1 - \phi_{ta}}

apparent matrix density

Umaa=Peρe−ϕtaUf1−ϕtaU_{maa} = \dfrac{P_e\rho_e - \phi_{ta}U_f}{1 - \phi_{ta}}

apparent volumetric cross section of the matrix

K=∑jwjKj,Th=∑jwjThj\mathrm{K} = \sum_j w_j\mathrm{K}_j,\quad \mathrm{Th} = \sum_j w_j\mathrm{Th}_j

the potassium and thorium of a rock are averages over the mass fractions of the minerals

Common pitfalls
  • Averaging PeP_e over the volumes of matrix and fluid.
  • Reading PeP_e and UmaaU_{maa} with a barite-weighted mud.
  • Using the density and UU of fresh water for the filtrate when it is salty.
  • Calculating the shale volume of a feldspathic sandstone from potassium or from the uranium-free gamma ray.
  • Treating the Th/K ratio as a certain diagnosis of the clay type.

After this lesson you can

  • explain why the PeP_e of a porous rock is an average over electrons, not over volumes, and calculate PeP_e and the volumetric cross section UU of a mixture of minerals and fluid
  • find porosity and the fractions of two known minerals from density and PeP_e, and check the choice of minerals on the neutron–density crossplot
  • calculate the apparent matrix density and volumetric cross section, and from them the fractions of quartz, calcite and dolomite; recognise gas, shale, anhydrite and heavy minerals on this crossplot
  • name the conditions under which PeP_e and the apparent matrix parameters are distorted: barite (a heavy mineral added to the mud), salty filtrate, a rough borehole wall, iron-bearing minerals, different resolution of the curves
  • tell clay minerals, micas and feldspars apart from the potassium and thorium readings, and estimate shale volume and the feldspar fraction in an arkosic sandstone
  • explain why uranium points to organic matter and groundwater pathways, and how its relation to organic carbon content is calibrated against core

The photoelectric factor of a rock: electrons mix, not volumes

The photoelectric factor PeP_e is the cross section for photoelectric absorption of gamma rays per electron, in barns per electron (how it is measured). (A cross section shows how likely a gamma ray is to be absorbed; the barn is its unit.) The tool senses how many photons are absorbed per unit path. This number is proportional to the number of electrons per unit volume times the cross section of one electron, which is the volumetric cross section U=PeρeU = P_e\rho_e (barn/cm³). The PeP_e recorded on the log is UU divided by the electron density index ρe\rho_e of the rock, which we find from the density measurement of the same tool.

This gives the mixing rule. Each component of the rock (mineral, water, oil, gas) with a volume fraction ViV_i adds ViUiV_iU_i to the absorption and Viρe,iV_i\rho_{e,i} to the number of electrons. So it is UU that adds up by volume. PeP_e is the ratio of two volume sums, that is, an average weighted by the share of electrons of each component.

Photoelectric factor of a mixture as an average over electrons
Pe=∑iVi ρe,i Pe,i∑iVi ρe,i=Uρe,U=∑iViUiP_e = \frac{\sum_i V_i\,\rho_{e,i}\,P_{e,i}}{\sum_i V_i\,\rho_{e,i}} = \frac{U}{\rho_e}, \qquad U = \sum_i V_i U_i
where:
  • ViV_ivolume fraction of the ii-th component of the rock (mineral or fluid); the fractions add up to one, fraction
  • ρe,i\rho_{e,i}electron density index of the component: ρe,i=(ρi+0.1883)/1.0704\rho_{e,i} = (\rho_i + 0.1883)/1.0704, where ρi\rho_i is its density as the tool reads it, g/cm³
  • Pe,i, UiP_{e,i},\ U_iphotoelectric factor and volumetric cross section of the component, Ui=Pe,iρe,iU_i = P_{e,i}\rho_{e,i}, barn/electron; barn/cm³
  • ρe=∑iViρe,i\rho_e = \sum_i V_i\rho_{e,i}electron density index of the rock, g/cm³

Units: PeP_e in barn/electron, UU in barn/cm³, ρe\rho_e in g/cm³ (as a measure of the number of electrons per unit volume)

Holds when
  • The components are mixed uniformly in the small volume behind the borehole wall that the tool sees.
  • We take the electron density of each component from the calibration of the tool (limestone with fresh water), so the volumes mix the way the tool sees them.
  • There is no barite or heavy minerals in the mudcake and the mud.

The weight of a component in PeP_e is its share of electrons, Viρe,i/ρeV_i\rho_{e,i}/\rho_e, not its share of volume. Water has half as many electrons per unit volume as minerals, so its weight is half its share of volume. For gas the weight is almost zero. Minerals with similar electron density (quartz, calcite, dolomite) mix in PeP_e almost as they do by volume.

Photoelectric factor, density and volumetric cross section of substances (lesson model)
Substance
Quartz
PeP_e, barn/electron
1.81
ρ\rho, g/cm³
2.65
ρe\rho_e, g/cm³
2.652
UU, barn/cm³
4.80
Substance
Calcite
PeP_e, barn/electron
5.08
ρ\rho, g/cm³
2.71
ρe\rho_e, g/cm³
2.708
UU, barn/cm³
13.76
Substance
Dolomite
PeP_e, barn/electron
3.14
ρ\rho, g/cm³
2.87
ρe\rho_e, g/cm³
2.857
UU, barn/cm³
8.97
Substance
Anhydrite
PeP_e, barn/electron
5.05
ρ\rho, g/cm³
2.98
ρe\rho_e, g/cm³
2.960
UU, barn/cm³
14.95
Substance
Rock salt
PeP_e, barn/electron
4.65
ρ\rho, g/cm³
2.03
ρe\rho_e, g/cm³
2.072
UU, barn/cm³
9.64
Substance
Gypsum
PeP_e, barn/electron
3.99
ρ\rho, g/cm³
2.35
ρe\rho_e, g/cm³
2.371
UU, barn/cm³
9.46
Substance
Potassium feldspar
PeP_e, barn/electron
2.86
ρ\rho, g/cm³
2.53
ρe\rho_e, g/cm³
2.539
UU, barn/cm³
7.26
Substance
Siderite
PeP_e, barn/electron
14.7
ρ\rho, g/cm³
3.84
ρe\rho_e, g/cm³
3.76
UU, barn/cm³
55
Substance
Pyrite
PeP_e, barn/electron
17.0
ρ\rho, g/cm³
4.99
ρe\rho_e, g/cm³
4.83
UU, barn/cm³
82
Substance
Barite
PeP_e, barn/electron
267
ρ\rho, g/cm³
4.10
ρe\rho_e, g/cm³
4.01
UU, barn/cm³
1070
Substance
Fresh filtrate
PeP_e, barn/electron
0.358
ρ\rho, g/cm³
1.00
ρe\rho_e, g/cm³
1.110
UU, barn/cm³
0.397
Substance
NaCl brine, 120 g/kg
PeP_e, barn/electron
0.81
ρ\rho, g/cm³
1.09
ρe\rho_e, g/cm³
1.19
UU, barn/cm³
0.96
Substance
Methane, 0.13 g/cm³
PeP_e, barn/electron
0.095
ρ\rho, g/cm³
−0.01
ρe\rho_e, g/cm³
0.162
UU, barn/cm³
0.015

ρ\rho is the density as read by a tool calibrated on limestone with fresh water. For salt, gypsum, barite and gas it differs from the true density (2.165, 2.32, 4.50 and 0.13 g/cm³), and for methane it is formally negative (why). We calculate ρe\rho_e from ρ\rho with the calibration, and U=PeρeU = P_e\rho_e. The PeP_e values of quartz, calcite, dolomite, anhydrite and salt are reference values that agree with the calculation from atomic numbers. The values for gypsum (with water of crystallisation), feldspar (orthoclase, 2.56 g/cm³), siderite (3.89 g/cm³), pyrite, barite and brine are calculated from composition. For gypsum the reference tables disagree: some give about 4.0, others about 3.4. The formula (Z/10)3.6(Z/10)^{3.6} (ZZ is the atomic number) is an approximation, and table values found in other ways may differ from it, but not by that much. Gypsum is anhydrite with water of crystallisation, which adds electrons with almost no absorption. So with any reasonable absorption law its PeP_e is about 0.79 of that of anhydrite, that is, about 4. This lesson uses 3.99 in the table, the figures and the examples. For your own section, check the value against the log in thick beds of gypsum. Natural minerals contain impurities, above all iron, and their PeP_e may differ by tenths.

Worked exampleLimestone with a porosity of 25%: PeP_e by volumes and by electrons
Given (assumed data)
Matrix
calcite: Pe=5.08P_e = 5.08 barn/electron, ρe=2.708\rho_e = 2.708 g/cm³, U=13.76U = 13.76 barn/cm³
Pores
25% of the volume, fresh filtrate: Pe=0.358P_e = 0.358, ρe=1.110\rho_e = 1.110 g/cm³, U=0.397U = 0.397 barn/cm³
Solution
  1. If PeP_e mixed by volume, it would be 0.75⋅5.08+0.25⋅0.358=3.900.75\cdot 5.08 + 0.25\cdot 0.358 = 3.90 barn/electron, a value between dolomite and calcite.
  2. Electrons: ρe=0.75⋅2.708+0.25⋅1.110=2.3085\rho_e = 0.75\cdot 2.708 + 0.25\cdot 1.110 = 2.3085 g/cm³. Water accounts for 0.25⋅1.110/2.3085=0.1200.25\cdot 1.110/2.3085 = 0.120 of all the electrons, which is half its share of volume.
  3. The average over electrons is Pe=(1−0.120)⋅5.08+0.120⋅0.358=4.51P_e = (1 - 0.120)\cdot 5.08 + 0.120\cdot 0.358 = 4.51 barn/electron.
  4. Check through the volumetric cross section: U=0.75⋅13.76+0.25⋅0.397=10.42U = 0.75\cdot 13.76 + 0.25\cdot 0.397 = 10.42 barn/cm³, and U/ρe=4.51U/\rho_e = 4.51.
Answer: The porous limestone will show Pe≈4.51P_e \approx 4.51 barn/electron, not 3.90.

What it means. Mixing by volume is off by 0.61 barn/electron, which is enough to mistake a highly porous limestone for a calcareous dolomite (a dolomite with some calcite). The correct calculation shows that a quarter of pore volume lowers the PeP_e of calcite by only 11%. So PeP_e recognises the mineral in a porous rock too. The data in this example are assumed for illustration.

The density–photoelectric factor crossplot

On this crossplot, PeP_e is plotted horizontally and the bulk density ρb\rho_b vertically, with heavy rocks at the bottom. The line of each mineral shows the points of a formation made of that mineral, with fresh filtrate in the pores, at porosities from zero to 40%. From zero to 40% pores, the density along the line changes by 0.65–0.75 g/cm³, but PeP_e changes by only about a fifth of its value. So the lines are steep, almost vertical, and spread out horizontally: quartz at about 1.8, dolomite at about 3.1, calcite at about 5.1. Rock salt (4.65; 2.03) and anhydrite (5.05; 2.98) lie apart. Gypsum (3.99; 2.35) falls between the dolomite and calcite lines, and it looks like a porous mixture of two carbonates.

Density–P_e crossplot: quartz, dolomite and calcite lines, evaporites and the example01234562.02.22.42.62.83.0Pe, barn/electronρb, g/cm³102030401020304010203040quartzdolomitecalciteanhydritesaltgypsumexample

Chart: the horizontal axis is the photoelectric factor from 0 to 6.5 barn per electron, the vertical axis is bulk density from 1.9 at the top to 3.05 at the bottom. Three steep lines: quartz from 1.81 and 2.65 to 1.49 and 1.99 at a porosity of 40 per cent, dolomite from 3.14 and 2.87 to 2.57 and 2.12, calcite from 5.08 and 2.71 to 4.07 and 2.03. Dashed lines join the marks of 10, 20 and 30 per cent on the quartz and calcite lines. Diamonds: anhydrite 5.05 and 2.98 at the bottom right, salt 4.65 and 2.03 at the top right, gypsum 3.99 and 2.35 between the dolomite and calcite lines. The example point 2.65 and 2.434 lies between the quartz and dolomite lines on the orange 14 per cent isoporosity line from quartz to calcite; the empty diamond is 1.86 and 2.434 near the quartz line.

CalculatedDensity–PeP_e crossplot from the lesson model (fresh filtrate). It shows the lines of quartz, dolomite and calcite with porosity marks every 0.05 (labelled in per cent), dashed quartz–calcite isoporosity lines, and the points of anhydrite, salt and gypsum. The circle is the bed of the example below, on its 14% isoporosity line. The empty diamond shows where the same bed would be if its cement were dolomite.

If two minerals are known, we read the point of the formation as on the neutron–density crossplot: find the isoporosity segment that passes through the point, and take the mineral fractions from the position on it. With a calculator we can solve this problem exactly: in the coordinates “density–UU” all components mix by volume, and the equations are linear.

Porosity and two minerals from density and PeP_e
ρb=V1ρ1+V2ρ2+ϕρf,Peρe=V1U1+V2U2+ϕ Uf,V1+V2+ϕ=1\rho_b = V_1\rho_1 + V_2\rho_2 + \phi\rho_f, \qquad P_e\rho_e = V_1U_1 + V_2U_2 + \phi\,U_f, \qquad V_1 + V_2 + \phi = 1
where:
  • V1, V2V_1,\ V_2volume fractions of the two minerals in the rock, fraction
  • ϕ\phiporosity, fraction
  • ρ1, ρ2, ρf\rho_1,\ \rho_2,\ \rho_fdensities of the minerals and of the fluid as the tool reads them, g/cm³
  • U1, U2, UfU_1,\ U_2,\ U_fvolumetric cross sections of the minerals and of the fluid, barn/cm³
  • ρe\rho_eelectron density index of the rock, (ρb+0.1883)/1.0704(\rho_b + 0.1883)/1.0704, g/cm³

Units: densities in g/cm³, UU in barn/cm³, PeP_e in barn/electron

Holds when
  • The formation is clean, both minerals are known, and the pores are filled with liquid of known density and composition.
  • The readings have been corrected for environmental conditions, and there is no barite in the mudcake or the mud.
  • With gas in the flushed zone, porosity will come out too high (see the example with a gas-bearing limestone below).

These are three linear equations for three volumes. The crossplot solves them graphically. The isoporosity segments between the mineral lines are straight in the coordinates ρb\rho_b and UU, and they bend slightly when we change to PeP_e. The fraction of the second mineral in the matrix is V2/(V1+V2)V_2/(V_1 + V_2).

Worked exampleCalcite or dolomite cement?
Given (assumed data)
Formation
sandstone with carbonate cement (from cuttings), GR low, pores filled with fresh filtrate
Readings
ρb=2.434\rho_b = 2.434 g/cm³; ϕN=0.109\phi_N = 0.109 in limestone units; Pe=2.65P_e = 2.65 barn/electron
Density and UU
quartz 2.65 g/cm³ and 4.80 barn/cm³; calcite 2.71 and 13.76; dolomite 2.87 and 8.97; filtrate 1.00 and 0.397
Solution
  1. Neutron and density: ϕD,ls=2.71−2.4341.71=0.161\phi_{D,ls} = \dfrac{2.71 - 2.434}{1.71} = 0.161. The sandstone–limestone pair gives a porosity of 0.140 and 30% calcite in the matrix, and the sandstone–dolomite pair gives 0.143 and 11% dolomite. The porosity is almost the same, but the cement is unknown.
  2. The PeP_e that each hypothesis would give (mixing by UU) is 2.66 barn/electron for calcite cement and 1.86 for dolomite cement. The recorded value is 2.65, so the cement is calcite.
  3. Direct solution. The electron density index is 2.434+0.18831.0704=2.450\dfrac{2.434 + 0.1883}{1.0704} = 2.450 g/cm³, and the volumetric cross section is U=2.65⋅2.450=6.49U = 2.65\cdot 2.450 = 6.49 barn/cm³.
  4. Subtracting the fluid (ρf=1\rho_f = 1, Uf=0.397U_f = 0.397), we get two equations for the volumes of quartz VqV_q and calcite VcV_c: 1.434=1.65Vq+1.71Vc1.434 = 1.65V_q + 1.71V_c and 6.093=4.40Vq+13.36Vc6.093 = 4.40V_q + 13.36V_c.
  5. Solving them gives Vc=0.258V_c = 0.258 and Vq=0.602V_q = 0.602. The porosity is 1−Vq−Vc=0.1401 - V_q - V_c = 0.140, and the calcite fraction of the matrix is 30%.
Answer: The porosity is 14%, and the matrix is quartz with 30% calcite cement.

What it means. Neutron and density gave the porosity under either hypothesis about the cement, but they could not give the cement itself: for them, 30% calcite and 11% dolomite in quartz give the same point. PeP_e tells these compositions apart at once. The solution from ρb\rho_b and UU is exact if the minerals have been chosen correctly and the pores are filled with liquid. If its porosity agrees with the neutron–density porosity, both assumptions are confirmed. The data in this example are assumed for illustration.

It is useful to compare the porosity from density and PeP_e with the neutron–density porosity. In a clean formation with liquid, and with the minerals chosen correctly, they agree. If they do not, try another pair of minerals. But suppose the neutron–density porosity is noticeably lower than the porosity from density and PeP_e, and the apparent matrix density from neutron and density is lower than the matrix density found from PeP_e. Then there is gas in the flushed zone: it lowers the density and hardly changes PeP_e.

Apparent matrix parameters: ρmaa\rho_{maa} and UmaaU_{maa}

If there are three minerals, two equations from density and PeP_e are not enough. There are four unknowns: the volumes of three minerals, and the porosity. The neutron log gives the missing equation. It is most convenient to use the porosity read from the neutron–density crossplot, which hardly depends on which minerals make up the matrix (why). Once we know the porosity, we can “subtract” the pores from the readings and get the apparent matrix parameters: what the density and the volumetric cross section of the rock would be without pores.

Apparent matrix density
ρmaa=ρb−ϕta ρf1−ϕta\rho_{maa} = \frac{\rho_b - \phi_{ta}\,\rho_f}{1 - \phi_{ta}}
where:
  • ρmaa\rho_{maa}apparent matrix density, g/cm³
  • ρb\rho_bbulk density from the log, corrected for environmental conditions, g/cm³
  • ϕta\phi_{ta}apparent total porosity from the neutron–density crossplot, fraction
  • ρf\rho_ffluid density in the flushed zone (fresh filtrate 1.00), g/cm³

Units: g/cm³; porosity as a fraction

Holds when
  • The formation is clean, and the pores are filled with liquid of known density.
  • The apparent porosity must be correct: an error of 0.01 shifts ρmaa\rho_{maa} by about 0.02 g/cm³ (see below).

This is a mass balance solved for the matrix density. If the porosity and the fluid are guessed correctly, ρmaa\rho_{maa} is the density of the mixture of the matrix minerals.

Apparent volumetric cross section of the matrix
Umaa=Pe ρe−ϕta Uf1−ϕta,ρe=ρb+0.18831.0704U_{maa} = \frac{P_e\,\rho_e - \phi_{ta}\,U_f}{1 - \phi_{ta}}, \qquad \rho_e = \frac{\rho_b + 0.1883}{1.0704}
where:
  • UmaaU_{maa}apparent volumetric cross section of the matrix, barn/cm³
  • PeP_ephotoelectric factor from the log, barn/electron
  • ρe\rho_eelectron density index of the rock from the density measurement, g/cm³
  • UfU_fvolumetric cross section of the fluid: 0.397 for fresh filtrate, about 0.96 for brine with 120 g NaCl per 1 kg, barn/cm³

Units: barn/cm³

Holds when
  • The same as for ρmaa\rho_{maa}; in addition, there is no barite in the mud and the mudcake.

This is a balance of volumetric cross sections: with the correct porosity, UmaaU_{maa} is the volumetric cross section of the mixture of matrix minerals. Minerals differ in UU by several times, but in density by only a few per cent. So an error in the porosity distorts the reading from UmaaU_{maa} far less than the reading from ρmaa\rho_{maa} (see below).

These formulas have a simple geometric meaning. In the coordinates “density–UU” all components mix by volume. So all rocks with one matrix and different porosities lie on the segment from the matrix point to the fluid point, and the porosity is the fraction of the way from the matrix to the fluid. The apparent parameters are the continuation of the line from the fluid point through the rock point to zero porosity. If the apparent porosity is correct, we get the matrix point. If it is too high, the point goes further, and if it is too low, the point falls short.

Density–U plane: rays from the fluid point to the minerals and the apparent matrix parameters1.01.52.02.53.00481216ρb, g/cm³U, barn/cm³10%20%30%40%bedmatrixfluidquartzdolomitecalciteanhydritesalt

Chart: density from 0.9 to 3.1 g/cm³ along the horizontal axis, volumetric cross section from 0 to 16 barn per cubic centimetre along the vertical axis. At the bottom left is the fluid point, 1.00 and 0.40. Three straight lines fan out from it: to quartz 2.65 and 4.8, to dolomite 2.87 and 9.0, to calcite 2.71 and 13.8; porosities of 40, 30, 20 and 10 per cent are marked on the lines. The vertices of quartz, dolomite and calcite are joined in a narrow triangle. Separately are the points of anhydrite 2.98 and 15.0 and salt 2.03 and 9.6. The circle of the bed, 2.60 and 8.5, lies near the triangle; the dashed ray from the fluid point through it ends at the point 2.79 and 9.5 inside the triangle.

CalculatedThe density–volumetric cross section (UU) plane from the lesson model. It shows the points of the fluid and the minerals, rays from the fluid point to quartz, dolomite and calcite with porosity marks of 10–40%, and the matrix triangle. The circle is the bed of the example below. The dashed ray leads from the fluid through it to the point of the apparent matrix parameters inside the triangle.

Where does ϕta\phi_{ta} come from? Plot the point of the formation on the neutron–density crossplot with sandstone, limestone and dolomite lines, and read the porosity along the isoporosity lines of the pair between whose lines the point lies. For points above the sandstone line (gas-bearing rocks and salt), the usual rule is to take the porosity of sandstone with the same neutron reading (the vertical projection onto its line). All this assumes a formation with liquid in the pores. In a gas-bearing formation the apparent porosity is only approximate.

On the UmaaU_{maa}–ρmaa\rho_{maa} crossplot, the points of quartz (4.80; 2.65), calcite (13.76; 2.71) and dolomite (8.97; 2.87) form a triangle. Both coordinates mix by volume of the matrix, so a mixture of three minerals lies inside the triangle. We find its fractions from three linear equations: the fractions add up to one, the mean density equals ρmaa\rho_{maa}, and the mean cross section equals UmaaU_{maa}. The triangle is wide in UU (from 4.8 to 13.8) and narrow in density (from 2.65 to 2.87). So UU mainly separates quartz from calcite, and density separates dolomite from both.

U_maa–ρ_maa crossplot: the quartz–calcite–dolomite triangle, other minerals and the examples468101214162.42.52.62.72.82.93.03.1Umaa, barn/cm³ρmaa, g/cm³quartzcalcitedolomiteanhydritefeldsparshalesaltpyrite, siderite,barite2 (gas)1

Chart: apparent matrix volumetric cross section from 4 to 16 barn per cubic centimetre along the horizontal axis, apparent matrix density from 2.4 at the top to 3.1 at the bottom along the vertical axis. A triangle with vertices quartz 4.8 and 2.65 on the left, calcite 13.8 and 2.71 on the right, dolomite 9.0 and 2.87 at the bottom in the middle. Point 1 is inside the triangle at about 9.5 and 2.79, nearer to dolomite. Below and to the right of calcite is anhydrite, 14.9 and 2.98; above the quartz–calcite side is feldspar, 7.3 and 2.53; below dolomite is the shale point, 10.0 and 3.01. Point 2, the gas-bearing limestone, 13.5 and 2.61, is directly above calcite, with an arrow leading up to it. The arrow up at the top edge is labelled “salt”, and the arrow down and to the right is labelled “pyrite, siderite, barite”.

CalculatedCrossplot of the apparent matrix parameters UmaaU_{maa}–ρmaa\rho_{maa} from the lesson model. It shows the quartz–calcite–dolomite triangle, the points of anhydrite, potassium feldspar and the shale of the lesson (as their readings plot by the rules of this crossplot), and the directions to salt and heavy minerals. Point 1 is the bed of the example below, point 2 is a gas-bearing limestone, and the arrow is the shift due to gas from the calcite point.
Worked exampleThree minerals from the apparent matrix parameters
Given (assumed data)
Formation
clean carbonate formation with an admixture of sand (from cuttings), pores filled with fresh filtrate
Readings
ρb=2.599\rho_b = 2.599 g/cm³; ϕN=0.135\phi_N = 0.135 in limestone units; Pe=3.28P_e = 3.28 barn/electron
Mineral points
quartz: 2.65 g/cm³ and 4.80 barn/cm³; calcite: 2.71 and 13.76; dolomite: 2.87 and 8.97
Solution
  1. The apparent porosity: ϕD,ls=2.71−2.5991.71=0.065\phi_{D,ls} = \dfrac{2.71 - 2.599}{1.71} = 0.065 at a neutron porosity of 0.135. The point is between the limestone and dolomite lines, and their isoporosity lines give ϕta≈0.108\phi_{ta} \approx 0.108.
  2. ρmaa=2.599−0.1081−0.108=2.793\rho_{maa} = \dfrac{2.599 - 0.108}{1 - 0.108} = 2.793 g/cm³.
  3. ρe=2.599+0.18831.0704=2.604\rho_e = \dfrac{2.599 + 0.1883}{1.0704} = 2.604 g/cm³, U=3.28⋅2.604=8.541U = 3.28\cdot 2.604 = 8.541 barn/cm³; Umaa=8.541−0.108⋅0.3971−0.108=9.527U_{maa} = \dfrac{8.541 - 0.108\cdot 0.397}{1 - 0.108} = 9.527 barn/cm³.
  4. Let the fractions of quartz, calcite and dolomite be fqf_q, fcf_c and fd=1−fq−fcf_d = 1 - f_q - f_c. From density, 2.87−0.22fq−0.16fc=2.7932.87 - 0.22f_q - 0.16f_c = 2.793. From the cross section, 8.97−4.17fq+4.79fc=9.5278.97 - 4.17f_q + 4.79f_c = 9.527.
  5. Solving the system gives fq=0.16f_q = 0.16, fc=0.26f_c = 0.26 and fd=0.58f_d = 0.58.
Answer: The matrix is about 58% dolomite, 26% calcite and 16% quartz, and the porosity is about 10.8%.

What it means. The formation was set up as a matrix of 60% dolomite, 25% calcite and 15% quartz at a porosity of 11%. The answer differs from the set values by 1–2 per cent. This is mainly because the apparent porosity was read from the limestone and dolomite lines and came out 0.2 units too low. The neutron–density crossplot alone would not have given this composition, because with three minerals it is ambiguous. The quartz–calcite–dolomite triangle works only if there are no other minerals. A negative fraction means that the point is outside the triangle, and then we look for anhydrite, feldspar, heavy minerals, shale or gas. The data in this example are assumed for illustration.

Where the other minerals and effects lie on this crossplot (values from the lesson model):

  • Potassium feldspar (7.26; 2.53) lies above the quartz–calcite side: lighter than quartz with a larger UU. Arkosic sandstones shift towards it from quartz.
  • Anhydrite (14.95; 2.98) lies below and to the right of calcite, and rock salt (9.64; 2.03) far at the top. A carbonate with anhydrite leaves the triangle beyond the calcite–dolomite side.
  • Heavy minerals go far to the right and down: siderite (55; 3.84), pyrite (82; 4.99), barite (1070; 4.10). Even a few per cent of pyrite shift the point noticeably to the right.
  • Shale lies below dolomite. Its neutron porosity includes bound water, so the apparent porosity comes out large, and subtracting the pores “overcorrects” both coordinates. The shale of the lesson (ρb=2.48\rho_b = 2.48, ϕN=0.38\phi_N = 0.38, Pe=3.0P_e = 3.0) gives the point (10.0; 3.01).
  • Vugs do not shift the point: both density and neutron see all the pores. The vuggy limestone from the topic on crossplots gives (13.75; 2.71), the point of calcite.
  • Gas raises the point almost vertically; see the example below.

How strongly does the answer depend on the apparent porosity? An error δϕ\delta\phi shifts the point along the ray from the fluid point. ρmaa\rho_{maa} changes by ρmaa−ρf1−ϕta δϕ\dfrac{\rho_{maa} - \rho_f}{1 - \phi_{ta}}\,\delta\phi, that is, by about 0.02 g/cm³ for an error of 0.01. UmaaU_{maa} changes by 0.05–0.16 barn/cm³ (from quartz to calcite). For UU this is little, but for density it is a lot, because quartz and calcite differ in density by only 0.06 g/cm³. So the fractions of quartz and calcite rest on UU, while the fractions of dolomite and anhydrite, which differ mainly in density, are sensitive to the porosity. When a carbonate contains anhydrite, the neutron–density porosity read from the limestone and dolomite lines comes out too low (in the lesson model by about half a unit for every 10% of anhydrite in the matrix), and so does the anhydrite fraction.

Worked exampleGas-bearing limestone on the UmaaU_{maa}–ρmaa\rho_{maa} crossplot
Given (assumed data)
Formation
clean limestone at a depth of about 2000 m, gas confirmed by resistivity and gas shows (the same formation in the topic on crossplots)
Readings
ρb=2.371\rho_b = 2.371 g/cm³; ϕN=0.102\phi_N = 0.102 in limestone units; Pe=4.85P_e = 4.85 barn/electron
Neutron response of sandstone in the lesson model
from a porosity of 12%, the reading is 0.045 below the porosity
Solution
  1. ϕD,ls=2.71−2.3711.71=0.198\phi_{D,ls} = \dfrac{2.71 - 2.371}{1.71} = 0.198 at a neutron porosity of 0.102, so the point is above the sandstone line. By the rule for such points, ϕta\phi_{ta} is the porosity of sandstone with the same neutron reading: 0.102+0.045=0.1470.102 + 0.045 = 0.147.
  2. ρmaa=2.371−0.1471−0.147=2.607\rho_{maa} = \dfrac{2.371 - 0.147}{1 - 0.147} = 2.607 g/cm³, lighter than quartz.
  3. ρe=2.371+0.18831.0704=2.391\rho_e = \dfrac{2.371 + 0.1883}{1.0704} = 2.391 g/cm³, U=4.85⋅2.391=11.596U = 4.85\cdot 2.391 = 11.596 barn/cm³; Umaa=11.596−0.147⋅0.3971−0.147=13.53U_{maa} = \dfrac{11.596 - 0.147\cdot 0.397}{1 - 0.147} = 13.53 barn/cm³, almost the same as for calcite (13.76).
  4. Check against porosity: PeP_e points to calcite, and with calcite the density would give a porosity of 2.71−2.3711.71=0.198\dfrac{2.71 - 2.371}{1.71} = 0.198. This is greater than the neutron–density value 0.147, and ρmaa\rho_{maa} from neutron and density (2.607) is lower than the density of calcite. Both signs point to gas.
Answer: The point has risen above the calcite point by 0.10 g/cm³, with almost no shift in UU. So this is limestone with gas, not quartz sandstone.

What it means. Gas hardly changes UU (it has few electrons and no heavy atoms), but it lowers the density at almost the same apparent porosity. So gas shifts the point almost vertically upwards, and the mineral is still read correctly from UU. On the MID plot (a matrix identification plot), where the sonic log replaces PeP_e, the same formation moves towards the quartz point (gas on the MID plot). If we had read the porosity from the isoporosity lines instead of by projection, we would have got a porosity of 0.16 and ρmaa=2.63\rho_{maa} = 2.63 g/cm³, with the same conclusion. The data in this example are assumed for illustration.

When PeP_e and the apparent parameters mislead

PeP_e is measured from low-energy photons, which do not penetrate far into the rock. So it sees an even thinner layer behind the borehole wall than density does, and it responds more strongly than other curves to mudcake, mud and borehole roughness. Before calculating from it, check the recording conditions.

What distorts PeP_e and the apparent matrix parameters
Situation
Barite in the mud or mudcake
What happens
UU of barite is about 1070 barn/cm³: PeP_e and UmaaU_{maa} come out several times too high
What to do
do not use PeP_e; use density only with the Δρ\Delta\rho correction, within the compensation range
Situation
Rough borehole wall, washouts
What happens
jagged PeP_e, density too low
What to do
leave out intervals with a large Δρ\Delta\rho and washouts
Situation
Salty filtrate
What happens
UfU_f about 0.96 instead of 0.40, density about 1.09 g/cm³
What to do
use the parameters of your own filtrate: at a porosity of 20% the error in ρmaa\rho_{maa} is about 0.02 g/cm³
Situation
Gas in the flushed zone
What happens
ρmaa\rho_{maa} too low, UmaaU_{maa} almost right
What to do
read the mineral from UU; correct the porosity for gas
Situation
Iron-bearing minerals: chlorite, glauconite, siderite, pyrite
What happens
PeP_e from 5–7 for chlorite and glauconite to 15–17 for siderite and pyrite
What to do
check against GR, density and cuttings; allow for the mineral in the matrix
Situation
Thin beds
What happens
PeP_e shows details of 5–10 cm, density only 15–45 cm
What to do
bring the curves to one resolution before a joint calculation

Potassium chloride raises the UU of the filtrate even more than table salt of the same concentration, because the atomic number ZZ is 19 for potassium and 11 for sodium. For an oil-based mud, put the density and UU of its filtrate, about 0.8 g/cm³ and 0.1 barn/cm³, into the formulas.

Spectrometry: which mineral is radioactive

The spectral gamma ray log gives the contents of potassium, in mass per cent, and of thorium and uranium, in g/t, that is, ppm (parts per million) (how they are separated). Potassium is found in potassium feldspars, micas, illite, glauconite and potassium salts. Thorium is almost insoluble, and only mineral particles carry it: clay minerals, heavy minerals (monazite, zircon) and volcanic ash hold it. Uranium is soluble and mobile, and it has a separate section below. Pure quartz, calcite, dolomite, anhydrite and rock salt are almost non-radioactive.

The tool measures contents per unit mass of rock, so they mix by mass. Suppose one mineral creates the radioactivity and the rest of the rock is “empty”. Then the potassium and thorium of the rock are proportional to the mass fraction of that mineral, and their ratio equals the ratio of the mineral. On the potassium–thorium crossplot such rocks lie on a straight line through the origin. The slope says which mineral is radioactive, and the distance from the origin says how much of it there is.

Potassium and thorium of a rock as mass averages
K=∑jwj Kj,Th=∑jwj Thj,ThK=∑jwjThj∑jwjKj\mathrm{K} = \sum_j w_j\,\mathrm{K}_j, \qquad \mathrm{Th} = \sum_j w_j\,\mathrm{Th}_j, \qquad \frac{\mathrm{Th}}{\mathrm{K}} = \frac{\sum_j w_j\mathrm{Th}_j}{\sum_j w_j\mathrm{K}_j}
where:
  • wjw_jmass fraction of the jj-th component in the rock together with the fluid in the pores, fraction
  • Kj, Thj\mathrm{K}_j,\ \mathrm{Th}_jcontents of potassium and thorium in this component, %; g/t
  • Th/K\mathrm{Th}/\mathrm{K}thorium/potassium ratio, the ratio of the readings in g/t and in %, g/t per %

Units: potassium in mass %, thorium in g/t (ppm)

Holds when
  • The readings have been corrected for the borehole; there is no potassium chloride in the mud.
  • The components have a constant composition. Natural minerals differ in contents several times over.

The ratio of a mixture is not the average of the ratios: the mineral rich in potassium dominates it. A Th/K ratio of 3 means 3 g/t of thorium per 1% of potassium. The true ratio of masses is 10410^4 times smaller, so compare only values in the same units.

Potassium, Th/K ratio and PeP_e of radioactive minerals (approximate)
Mineral
Potassium feldspar
K, %
11–14
Th/K
below 0.5
PeP_e, barn/electron
2.9
Mineral
Glauconite
K, %
3–6
Th/K
about 0.5–1.5
PeP_e, barn/electron
5–7
Mineral
Muscovite; biotite
K, %
6–10
Th/K
about 1–3
PeP_e, barn/electron
2.4; 6.3
Mineral
Illite
K, %
3.5–8
Th/K
about 2–4
PeP_e, barn/electron
3.5
Mineral
Smectite (montmorillonite)
K, %
0–5
Th/K
about 4–12
PeP_e, barn/electron
about 2
Mineral
Kaolinite
K, %
0–0.6
Th/K
above 10
PeP_e, barn/electron
1.8
Mineral
Chlorite
K, %
0–0.35
Th/K
above 10
PeP_e, barn/electron
about 6
Mineral
Heavy minerals with thorium
K, %
—
Th/K
above 25
PeP_e, barn/electron
high

These ranges come from published data for mineral samples. The fields overlap, and the charts of different companies draw the boundaries differently. The PeP_e of glauconite, biotite and chlorite is high because of the iron. The figure and the examples below use assumed representative values of the lesson model: feldspar K 12% and Th 1.5 g/t, muscovite 8 and 16, illite 5 and 15, smectite 1.5 and 12, kaolinite 0.4 and 11.

Potassium–thorium crossplot: Th/K ratio lines of the minerals and the arkose example012345605101520K, %Th, g/tkaolinite 27.5smectite 8illite 3muscovite 2feldspar 0.125clean sandstoneshalearkose+ feldspar →

Chart: potassium from 0 to 6 per cent along the horizontal axis, thorium from 0 to 20 g/t along the vertical axis. Five straight lines come out of the origin: an almost vertical kaolinite line (ratio 27.5), smectite (8), illite (3), mica (2) and an almost horizontal feldspar line (0.125). The point of clean sandstone is at about 0.3 and 1.5, the shale point, 3.0 and 11, is close to the illite line, and the arkose point, 3.2 and 2.5, is at the bottom right. A dashed segment runs from sandstone to shale, with a mark on it at a shale fraction of about 0.1; from there a second dashed segment runs almost horizontally to the right, towards feldspar, and the arkose point lies on it.

CalculatedPotassium–thorium crossplot from the lesson model. It shows lines of constant Th/K ratio for representative values of the minerals, and the points of clean quartz sandstone, shale and the arkosic sandstone of the example below. The dashed lines show how the arkose is made up of sandstone, a little shale and feldspar.

The Th/K ratios of different minerals overlap, so we combine the ratio with PeP_e. Glauconite and muscovite have similar ratios, but their PeP_e is about 6 and 2.4. Chlorite and kaolinite both have large ratios, but their PeP_e is about 6 and 1.8. Illite and smectite differ in both ratio and PeP_e (3.5 and 2). In a formation, PeP_e is diluted by quartz and carbonate. So we recognise clay minerals from it in thick shale units and by trends, not from a single sandstone point.

Worked exampleArkosic sandstone: four shale indices
Given (assumed data)
Reference beds of the section
clean quartz sandstone: potassium 0.3%, uranium 0.6 g/t, thorium 1.5 g/t; shale: potassium 3.0%, uranium 3.0 g/t, thorium 11 g/t
Sandstone under study
potassium 3.2%, uranium 1.0 g/t, thorium 2.5 g/t; no signs of shale on the neutron–density log
Potassium feldspar (assumed)
potassium 12%, thorium as in the clean sandstone
Solution
  1. The total GR from the relation 16 K+8 U+4 Th16\,\mathrm{K} + 8\,\mathrm{U} + 4\,\mathrm{Th} is 15.6 API for the sandstone, 116 for the shale and 69.2 for the formation. The gamma ray index is 0.53.
  2. GR without uranium (CGR) is 10.8, 92 and 61.2 API. The index 0.62 is higher still, because the extra potassium remains in the CGR.
  3. The potassium index 3.2−0.33.0−0.3=1.07\dfrac{3.2 - 0.3}{3.0 - 0.3} = 1.07 is greater than one: there is more potassium than in the shales themselves. The thorium index is 2.5−1.511−1.5=0.105\dfrac{2.5 - 1.5}{11 - 1.5} = 0.105.
  4. The Th/K ratio is 0.78 for the formation and 3.67 for the shale. The shales of this section have 3.67 g/t of thorium per 1% of potassium, and the formation has 4.7 times less. So the potassium of the formation does not come from shale.
  5. Shale, which makes up 10.5% of the mass according to thorium, gives potassium of 0.3+0.105⋅2.7=0.580.3 + 0.105\cdot 2.7 = 0.58%. The extra 2.62% of potassium comes from feldspar: 2.62/(12−0.3)=0.222.62/(12 - 0.3) = 0.22 of the rock mass.
Answer: The shale volume from thorium is about 10.5%, not 53% from the total GR. The raised radioactivity comes from potassium feldspars, about 22% of the rock mass.

What it means. The indices differ widely, from 0.105 to 1.07. In arkose, the potassium of the feldspars raises both the total GR and the GR without uranium, so the CGR does not help here. Thorium is tied to shale and hardly depends on feldspars. So in feldspathic sandstones we estimate the shale volume from thorium and check it with the neutron–density log (Determining shale volume). A calculation by mass, with an assumed potassium content of feldspar (11–14% in the pure mineral), gives a guide. We refine the feldspar fraction from core and thin sections. The data in this example are assumed for illustration: this is an arkosic sandstone from the assumed section of the topic on the gamma ray log.

Each element in spectrometry tells its own story, and this helps to read the log in a section. Thorium tells of detrital shale admixture (clay carried in as particles): in sandstones and carbonates it grows with shale volume, if there are no heavy minerals or volcanic ash. Potassium tells of potassium-bearing minerals. In sandstones these are often feldspars and micas (as in the arkose above), and in shales they are illite and micas, so there potassium reflects the type of clay. Uranium in carbonates usually points not to shale but to organic matter, phosphates and stylolites. Chemogenic rocks (rocks that formed by chemical precipitation: salt, anhydrite, clean limestone) are almost non-radioactive unless they are potassium salts. Weathering zones betray themselves by a sharp change of thorium and potassium while their ratio stays almost the same.

Uranium: organic matter and mobile waters

Uranium behaves differently from potassium and thorium. In oxidising waters (waters that contain oxygen) it is soluble and is carried far. In a reducing environment (one without oxygen) it turns into an insoluble form and is deposited, above all on organic matter. So marine shales that built up where oxygen was scarce are rich in both organic carbon and uranium, and their thorium/uranium ratio is low (Th/U). High uranium in a shale unit is a hint that it is a source rock (Source rocks, maturation and migration).

Organic carbon content from uranium (local calibration)
TOC≈a U+bTOC \approx a\,\mathrm{U} + b
where:
  • TOCTOCtotal organic carbon, mass %
  • U\mathrm{U}uranium content from spectrometry, g/t
  • a, ba,\ bcoefficients found from core or cuttings of the same unit, % per g/t; %

Units: TOC in mass %, uranium in g/t

Holds when
  • Uranium is associated with organic matter, not with phosphates, fractures or secondary deposits.
  • The calibration is valid for one unit and one depositional environment (the setting where the sediment settled). Do not transfer it to other units.
  • Average the uranium curve over the interval, because individual readings are noisy.

This is an empirical relation, not a physical law. In some shales it is close, and in others it is absent. Check it against core, and compare it with other signs of organic matter, such as lower density and lower sound velocity.

  • Carbonates: uranium is a sign of organic matter, phosphates and stylolites, not of shale. On the total GR such intervals look shaly, so calculate the shale volume from thorium or from GR without uranium.
  • Groundwater pathways: uranium is deposited on faults, in fractures and in the formations through which waters have flowed. A uranium anomaly in a tight rock may point to open fractures.
  • Producing wells: in watered-out intervals, salts containing radium from the formation water settle on pipes and in the near-wellbore zone. Spectrometry sees them by the lines of the uranium series, and the GR behind casing grows with time. This is not lithology but production history. Such deposits are radioactive, and radiation safety regulations govern how they are handled.

Order of work

  1. 1
    Quality

    Check the caliper log, the Δρ\Delta\rho correction and the mud composition. With barite, do not use PeP_e. With KCl, correct the potassium. Bring the curves to one depth and one resolution.

  2. 2
    Quick look at PeP_e

    About 1.8 is quartz, about 3 is dolomite or shale, about 5 is calcite or anhydrite (density separates them), 6 and above is iron-bearing and heavy minerals or barite.

  3. 3
    Two minerals

    Use the density–PeP_e crossplot, or the solution in the coordinates ρb\rho_b and UU. Check the porosity against the neutron–density porosity.

  4. 4
    Three minerals

    Take the apparent porosity from the neutron–density crossplot, then find ρmaa\rho_{maa} and UmaaU_{maa} and use the mineral triangle. A point outside the triangle is a signal to look for a fourth mineral, gas or shale.

  5. 5
    Radioactivity

    Use thorium and GR without uranium for the shale volume; Th/K together with PeP_e for the type of clay, feldspars and micas; and uranium for organic matter and fractures.

  6. 6
    Check

    Compare with the M–N and MID plots, which identify the matrix (M–N and MID plots for complex lithologies), and with cuttings, core and X-ray diffraction analysis. Calibrate the relations against core.

Terms and symbols

Photoelectric factor PeP_e
The photoelectric absorption cross section per electron, in barn/electron. It mixes by electrons, not by volumes.
Volumetric cross section UU
PeρeP_e\rho_e, in barn/cm³. It adds up by the volume fractions of the components of the rock.
Apparent total porosity ϕta\phi_{ta}
The porosity read from the crossplot of porosity methods, assuming a formation with liquid in the pores. It hardly depends on the matrix minerals.
Apparent matrix parameters ρmaa\rho_{maa} and UmaaU_{maa}
The density and volumetric cross section recalculated to zero porosity with ϕta\phi_{ta}. For a clean formation with liquid, they are the parameters of the mixture of matrix minerals.
Th/K ratio
The ratio of the thorium (g/t) and potassium (%) readings from spectrometry. It points to the type of radioactive minerals.
Clay minerals
Kaolinite, illite, smectite, chlorite and mixed-layer minerals. They differ in their content of potassium, thorium and bound water, and in PeP_e.

Common mistakes and misconceptions

Wrong

“The PeP_e of a rock is the average PeP_e of the matrix and the fluid by volume.”

In fact

What mixes by volume is U=PeρeU = P_e\rho_e. PeP_e itself is an average over electrons: water counts for half of its volume, and gas for almost nothing. If we averaged by volume, a porous limestone would look like dolomite.

Wrong

“A PeP_e of about 5 means limestone.”

In fact

Anhydrite gives the same value (5.05), and a little barite in the mudcake gives even more. We tell anhydrite apart by density (ρmaa\rho_{maa} about 2.98 against 2.71), and barite by the mud composition, the caliper log and the Δρ\Delta\rho correction.

Wrong

“A lot of potassium means a lot of shale.”

In fact

Potassium is also carried by potassium feldspars, micas, glauconite, potassium salts and mud with KCl. Thorium is what gives shale away. The Th/K ratio and the neutron–density log show where the potassium comes from.

Wrong

“The Th/K ratio of a mixture of two clays is the average of their ratios.”

In fact

Potassium and thorium add by mass, and the mineral rich in potassium dominates the ratio. A half-and-half mixture of kaolinite and illite gives a ratio of about 5, much closer to illite than to kaolinite.

Wrong

“A uranium anomaly is a sign of shale or organic matter.”

In fact

Uranium is mobile. It occurs in phosphates, stylolites, fractures, along groundwater pathways and in salts on the pipes of producing wells. We calibrate the relation between uranium and organic matter against core, unit by unit.

In depth: advanced detail

How much better PeP_e tells quartz from calcite

We can check the qualitative conclusion “density gives the porosity, PeP_e gives the composition” by calculation, as we did for the pairs of porosity methods in the topic on crossplots. Let us see how measurement errors carry over into errors in the porosity and in the mineral fraction.

Worked exampleSandstone with limestone: neutron, density and PeP_e
Given (assumed data)
Formation
the matrix is half quartz and half calcite, porosity 0.15, fresh filtrate; the lesson model
Measurement errors
density ±0.015 g/cm³, neutron porosity ±0.01, PeP_e ±0.1 barn/electron (assumed)
Solution
  1. How the readings change: these are the derivatives (rates of change) with respect to the porosity ϕ\phi and the calcite fraction ff, both as fractions. For density they are −1.68 and +0.051 g/cm³, for neutron porosity 1.00 and +0.045, and for PeP_e −1.55 and +3.05 barn/electron.
  2. Neutron–density pair: the error is ±0.7 units in porosity and ±0.178 in the calcite fraction.
  3. Density–PeP_e pair: ±0.9 units and ±0.034.
  4. All three curves together (least squares weighted by the errors): ±0.7 units and ±0.032.
Answer: Density with PeP_e gives the calcite fraction about 5 times more accurately than neutron with density. It gives the porosity slightly less well. The three curves together give the best of both pairs.

What it means. For density, replacing quartz by calcite is almost indistinguishable from a change of porosity. For PeP_e it is the main signal: replacing all the quartz by calcite changes PeP_e by 3.05 barn/electron, while a porosity increase of 0.01 changes it by only 0.015. The error of ±0.1 in PeP_e is an assumption. In a rough borehole and with fast logging it is larger. The numbers depend on the model. What matters is how the pairs compare. The data in this example are assumed for illustration.

Two clays in one rock: the Th/K ratio of a mixture

Potassium and thorium add by mass, so the ratio of a mixture is closer to the ratio of the mineral that has more potassium. This is easy to underestimate when you read the potassium–thorium crossplot by the fields of minerals.

Worked exampleKaolinite with illite
Given (assumed data)
Kaolinite
K 0.4%, Th 11 g/t (Th/K about 27)
Illite
K 5.0%, Th 15 g/t (Th/K 3.0)
Shale part of the rock
a mixture of these minerals by mass; the values are assumed, representative ones
Solution
  1. A half-and-half mixture has Th=0.5⋅11+0.5⋅15=13.0\mathrm{Th} = 0.5\cdot 11 + 0.5\cdot 15 = 13.0 g/t and K=0.5⋅0.4+0.5⋅5.0=2.70\mathrm{K} = 0.5\cdot 0.4 + 0.5\cdot 5.0 = 2.70%. The ratio is 4.8, but the average of the two ratios would be 15.3.
  2. A quarter of kaolinite gives a ratio of 3.6, and three quarters give 7.7.
  3. The inverse problem (working backwards from the ratio): for a shale with a ratio of 6, the kaolinite fraction ww follows from 11w+15(1−w)=6 [0.4w+5(1−w)]11w + 15(1 - w) = 6\,[0.4w + 5(1 - w)], so w=0.64w = 0.64.
Answer: Half kaolinite gives a ratio of 4.8, much closer to illite than to kaolinite. The ratio reaches 6 only at 64% kaolinite.

What it means. So intermediate ratios (4–10), which charts attribute to smectite and mixed-layer clays, can also come from a mixture of kaolinite and illite. Spectrometry gives a hypothesis and shows where the composition of the clays changes through the section. We determine the type of clay from core. The data in this example are assumed for illustration.

Connections to other topics

Check yourself

  1. 1

    Why does the PeP_e of a porous rock hardly depend on porosity, although the volumetric cross section UU decreases together with the matrix fraction?

    1. A.The tool sees only the matrix and not the pores
    2. B.The tool applies a correction for porosity
    3. C.PeP_e is an index per electron: the number of electrons falls together with the matrix, and water has half as many electrons per unit volume and a small index of its own
    4. D.Water does not absorb gamma rays at all
    Show the answer

    Correct answer: C. PeP_e is an index per electron: the number of electrons falls together with the matrix, and water has half as many electrons per unit volume and a small index of its own

    UU adds up by volume and falls almost in proportion to the matrix fraction. But Pe=U/ρeP_e = U/\rho_e, and the electron density also decreases with porosity. At 25% pores, water gives only about 12% of the electrons, and its own PeP_e (0.36) is small. So the PeP_e of a limestone with 25% pores is 4.51 against 5.08 for calcite.

  2. 2

    The point of a carbonate formation: ρmaa=2.81\rho_{maa} = 2.81 g/cm³, Umaa=12.8U_{maa} = 12.8 barn/cm³. What does the quartz–calcite–dolomite triangle give, and how do we explain the result?

    Show the answer

    From the equations 0.22fq+0.16fc=2.87−2.81=0.060.22f_q + 0.16f_c = 2.87 - 2.81 = 0.06 and −4.17fq+4.79fc=12.8−8.97=3.83-4.17f_q + 4.79f_c = 12.8 - 8.97 = 3.83 we get fq≈−0.19f_q \approx -0.19. The point is outside the triangle, beyond the calcite–dolomite side. We need a mineral heavier than calcite with a large UU: anhydrite (14.95; 2.98). The calcite–dolomite–anhydrite triangle gives about 53% calcite, 25% dolomite and 22% anhydrite. With anhydrite, the neutron–density porosity usually comes out too low, so the true anhydrite fraction is most likely even greater.

  3. 3

    Sandstone: ρb=2.40\rho_b = 2.40 g/cm³, Pe=2.05P_e = 2.05, pores filled with fresh filtrate, the matrix is quartz with calcite. Find the porosity and the calcite fraction of the matrix.

    Show the answer

    The electron density index is 2.40+0.18831.0704≈2.418\dfrac{2.40 + 0.1883}{1.0704} \approx 2.418 g/cm³, and U=2.05⋅2.418≈4.957U = 2.05\cdot 2.418 \approx 4.957 barn/cm³. The equations are 1.40=1.65Vq+1.71Vc1.40 = 1.65V_q + 1.71V_c and 4.957−0.397=4.40Vq+13.36Vc4.957 - 0.397 = 4.40V_q + 13.36V_c. Solving them gives Vc≈0.094V_c \approx 0.094 and Vq≈0.751V_q \approx 0.751. So the porosity is about 0.155, and calcite is about 11% of the matrix.

  4. 4

    The mud is weighted with barite. Which of the apparent matrix quantities becomes unusable?

    1. A.UmaaU_{maa}
    2. B.Both equally
    3. C.Neither: the Δρ\Delta\rho correction fixes both
    4. D.ρmaa\rho_{maa}
    Show the answer

    Correct answer: A. UmaaU_{maa}

    The UU of barite is about 1070 barn/cm³. A fraction of a per cent of barite in the mudcake, or in the rough places of the wall, raises PeP_e and UmaaU_{maa} several times. The Δρ\Delta\rho correction fixes the density as long as the mudcake is within the range of compensation, so ρmaa\rho_{maa} can be used with care, but UmaaU_{maa} cannot.

  5. 5

    Spectrometry: a sandstone with K 1.9% and Th 9.5 g/t; adjacent shales with K 2.6% and Th 13 g/t; clean sandstone with K 0.2% and Th 1.0 g/t. Do feldspars or shale raise the GR of the formation?

    Show the answer

    The potassium index is 1.9−0.22.6−0.2≈0.71\dfrac{1.9 - 0.2}{2.6 - 0.2} \approx 0.71 and the thorium index is 9.5−1.013−1.0≈0.71\dfrac{9.5 - 1.0}{13 - 1.0} \approx 0.71. They coincide, and the Th/K ratio of the formation (5.0) is the same as that of the shales. So potassium and thorium come together with the same shales, and the formation is shaly. In an arkose the potassium index would be clearly greater than the thorium index, and the Th/K ratio would be smaller than that of the shales.

  6. 6

    From the core of a shale unit: at a uranium content of 6 g/t, the total organic carbon (TOC) is 1.4%; at 21 g/t, it is 6.2%. Estimate TOC in an interval of the same unit with uranium of 15 g/t and name two conditions under which the estimate can be trusted.

    Show the answer

    The slope is 6.2−1.421−6=0.32\dfrac{6.2 - 1.4}{21 - 6} = 0.32% per 1 g/t, so TOC ≈1.4+0.32⋅(15−6)≈4.3\approx 1.4 + 0.32\cdot(15 - 6) \approx 4.3%. The two conditions are these. The interval must come from the same unit and depositional environment in which the calibration was made. And the uranium must be associated with organic matter, not with phosphates, fractures or secondary deposits. In addition, average the uranium curve over the interval, and compare the estimate with density and sonic data.

Updated: 26 October 2026