TIGHT OIL BASICS
The same revolution is occurring in oil exploration. Tight oil or “shale oil” is the current hot topic. Again, most such plays are siltstones without a lot of clay in the reservoir. Tight oil is considered to be an “unconventional” reservoir, requiring horizontal wells and massive hydraulic fracture jobs to perform economically. Some siltstones are sufficiently sandy to produce oil in vertical wells, usually after a decent stimulation. Conventional shale corrected complex lithology log analysis models are used, even in shaly silts.
Some tight oil plays fall into the genuine "mature oil shale" category, so a kerogen correction might also be made over the nearby source rocks and the reservoir interval. Mature oil shales are distinguished from immature oil shale by the fact that liquid hydrocarbons are present. The immature oil shale requires an in-situ or surface retort to obtain liquid hydrocarbons.
Many siltstones are radioactive because of uranium. It pays to run a spectral gamma ray log to distinguish between uranium and clay content.
The Bakken formation in the Williston Basin of Saskatchewan, Manitoba, and North Dakota is a classic silt and sandy silt. It is low resistivity due to high salinity formation water with high irreducible water saturation (caused by very fine grain size), and the lithology is a mix of quartz and dolomite (and sometimes calcite). An analogous resource play is being evaluated in the Paris Basin of France. In Alberta and Montana, the Bakken equivalent, the Exshaw, and adjacent formations (Banff / Lodgepole and Big Valley /Three Forks) are “Tight Oil” prospects, as are the Duvernay, Second White Specks, Nordegg, and other formerly unattractive low porosity reservoirs.
Each of these
plays has its unique petrophysical problems, so one-size does not
fit all. For example, the Second White Specks is a laminated shaly
sand with fairly good porosity in the sand lenses. The Nordegg may
be pyrobitumen plugged with little room for liquid hydrocarbons.
Beware the "general" solution - even the one described below.
low water saturation on log analysis (equivalent to very high
resistivity) is the clue to the pyrobitumen. Core porosity and
saturation is also a clue, since pyrobitumen is not soluble in
normal solvents, so the core cannot be “cleaned”.
These facies were deposited during the late Devonian and early Mississippian in what was then a tropical setting. The sediment is believed to have an aeolian source and was blown into the marine environment from the adjacent arid landmass to the east and reworked into the various marine facies. The organic rich Upper and Lower Bakken shales are the source rocks for the sand and silt reservoirs.
The sands and silts are highly dolomitic, averaging about 50% dolomite. In deeper wells, calcite may replace some of the dolomite or infill some porosity.
Many of the dominant features of the Bakken are below the resolution of logging tools and are best seen in core photos and core logs, as shown below.
While laminated shaly sands are best known, laminated porosity is also a problem for log analysts. The Bakken and Montney reservoirs in Canada are good examples. The illustrations below give a clear example of how porosity logs and analysis results smooth out the porosity variations, which in turn smooth out the saturation and permeability answers. The latter is especially critical, since productivity estimates for laminated reservoirs can be seriously under-estimated because the high permeability streaks tend to be ignored.
In Saskatchewan, the naturally low resistivity in Bakken pay zones is further aggravated by thin clay laminations, clay filled burrows, laminated porosity, and dispersed pyrite.
confusing is the water resistivity variation on the northwest and
northeast edges of the Basin. Here, wet wells have higher
resistivity than oil wells further south because the water
resistivity is 5 to 20 times higher than deeper in the Basin. This
results from fresher water recharge from the Black Hills of North
Dakota. An adequate production testing program is the only solution
to this issue, as there is no log analysis model that will predict
water resistivity in this reservoir.
Typical SW in Saskatchewan averages 50% grading southward to about 30% in the deeper North Dakota wells. Very low apparent SW in Saskatchewan usually means fresh water recharge, possibly with some residual oil. The "best-looking" wells are actually water producers, but have measured resistivity values 2 to 4 times higher than productive oil wells. Water resistivity values are sparse, so any water recovery should be sent to the lab and analyzed.
The low resistivity, high radioactivity, large density neutron separation caused by dolomite and pyrite, and the high PE value (near 3) conspire to make the zone look like shale on logs. Worse, some literature continues to name the producing zone the Bakken Shale, even though we know the Middle Bakken is a radioactive dolomitic sand or siltstone. These conflicts in the conventional data suggest strongly that some special core analysis should be done, namely electrical properties, capillary pressure, X-Ray diffraction and thin section mineralogy, and anything else that can help explain the petrophysical response to these complex rocks.
The Bakken is now the biggest oil play in North America, and may ultimately be the largest ever found, even larger than Alaska North Slope. It is sometimes termed an "unconventional" reservoir, due to the low permeability of the siltstone intervals. In North Dakota, it is also called a "resource" play because the oil was formed in place (from the Upper and Lower Bakken Shales), although in Saskatchewan the oil migrated from the deeper parts of the basin, and is not strictly speaking a resource play there. Alberta and Montana is also probably a resource play, but few facts have been published so it is hard to tell.
Vertical wells are not overly prolific due to the low intrinsic permeability of the silty sand, but most horizontal wells do OK. In the deep, hot, over-pressured region in North Dakota, some wells are flowing 1000 to 2000 barrels per day.
Core analysis techniques, in particular the sampling interval, are important in assessing tight oil or gas. Many, like the Bakken and Montney plays, show a laminated porosity sequence. It is easy to pick only the best sands, or otherwise obtain unrepresentative samples. Since permeability is an exponential function of porosity (as a general rule), small porosity variations make a big difference in productivity estimates. The detail matters, and since logs average about 1 meter of rock, log analysis permeability is often pessimistic, even though the average porosity is correct. At the right is the core and sonic log data for a Bakken well, showing that the log cannot track the fine detail seen in the core. Many core analyses take far fewer samples, so the laminated nature of the reservoir is masked by too coarse a sample interval.
Spectral gamma ray log shows Uranium (U), Potassium (K), Thorium (Th), and standard gamma ray (GR). Red vertical line is TH0, the clean line for the Thorium curve, and the black vertical line is GR0, the clean line for the GR curve. Bakken 8 is top of sand and Bakken 1B is base of sand. ==>
The Thorium curve is best for shale volume calculations. The SP is
flat and useless, Density neutron separation is mostly due to
dolomite so it cannot be used. The gamma ray can be used in the
absence of the Thorium curve by assuming Uranium content is
The Clavier correction to the gamma ray result is often used to
smooth out minor variations in uranium content that make the gamma
ray look "noisy":
The clean lines TH0 and GR0 are
easy to pick (red and black lines on the illustration). Shale lines
are harder as they are often off-scale to the right or buried under
a plethora of backup curves. In the absence of a good pick from the
Adjust the constants to suit your
DENSker is in the range of 0.95 to 1.45 g/cc (975 to 1450
Kg/m3), similar to good quality coal.
TIGHT OIL POROSITY CALCULATIONS
TIGHT OIL WATER SATURATION CALCULATIONS
Electrical properties variations between facies and with depth or diagenesis are not published. This lab work is worth the effort, as considerable increases in oil in place are possible with small reductions in M and N values. Typical values used are A = 1.0, M = N = 1.5 to 1.8.
Fresh water recharge in the north can confuse log analysis results, so a production test is essential before drilling any horizontal wells.
TIGHT OIL Lithology CALCULATIONS
Mineral and core analysis summary for a Bakken reservoir ==>
Standard 3-mineral models using PE, density, and neutron data are used with appropriate parameters for the selected minerals. Multi-mineral solvers can be used if spectral gamma ray data is available. In this case, shale volume would be derived also.
Although the math is simple, the parameters needed are not well known. The two critical elements are the volume of pyrite and the effective resistivity of pyrite. Pyrite volume can be found from a two or three mineral model, calibrated by thin section point counts or X-ray diffraction data.
The resistivity of pyrite varies with the frequency of the logging tool measurement system. Laterologs measure resistivity at less than 100 Hz, induction logs at 20 KHz, and LWD tools at 2 MHz. Higher frequency tools record lower resistivity than low frequency tools for the same concentration of pyrite. The variation in resistivity is caused by the fact that pyrite is a semiconductor, not a metallic conductor. It is nature's original transistor, and formed the main sensing component in early radios.
Typical resistivity of pyrite is in the range of 0.1 to 1.0 ohm-m; 0.5 ohm-m seems to work reasonably well. The effect of pyrite is most noticeable when RW is moderately high and less noticeable when RW is very low.
math is easiest when conductivity is used instead of resistivity:
The corrected resistivity can be plotted versus depth, along with the original log. Corrected water saturation will always be lower or equal to the original Sw. If CONDcorr goes negative, lower Vpyr or raise RESpyr
In higher permeability rock, the cap pressure curve quickly reaches an asymptote and the minimum saturation usually represents the actual water saturation in an undepleted hydrocarbon reservoir above the transition zone. In tight rock, the asymptote is seldom reached, so we pick saturation values from the cap pressure curves at two heights (or equivalent) Pc values) to represent two extremes of reservoir condition.
Only sample 1 in the above table behaves close to asymptotically, as in curve A in the schematic illustration at the right. All other samples behave like curves B and C (or worse). The real cap pressure curves for samples 1 and 2 are shown below.
The summary table shows wetting phase saturation selected by observation of the cap pressure graphs at two different heights above free water, namely 100 meters and 425 meters in this example. In this case, the 100 meter data gives water saturations that we commonly see in petrophysical analysis of well logs in hydrocarbon bearing Bakken reservoirs in Saskatchewan. This is a pragmatic way to indicate the water saturation to be expected when a Bakken reservoir is at or near irreducible water saturation. The data for the 450 meter case is considerably lower and probably does not represent reservoir conditions in this region of the Williston Basin.
Two other columns in the table are calculated from the primary measurements.
The first is the product of porosity times saturation, PHI*SW, often called Buckle’s Number. It is considered to be a measure of pore geometry or grain size. Higher values are finer grained rocks. These values vary considerably in the Bakken, between low and medium values, indicating the laminated nature of the silt / sand reservoir. The values in the Torquay are uniformly high, indicating that the reservoir is poor quality in all samples.
The second is the square root of permeability divided by porosity, sqrt(Kmax/PHIe), which is another measure of reservoir quality, directly proportional to pore throat radius and Pc. High numbers represent good connectivity and low values show poor connectivity. Again, the Bakken shows the variations due to laminations, and the Torquay shows low values and unattractive reservoir quality.
By comparing cap pressure and pore throat distribution graphs from each sample with the quality indicator values in the summary table, it becomes more evident as to which parameters in a petrophysical analysis might be the best indicator of reservoir quality. Since both Buckle’s Number and the Kmax/PHIe parameter can be determined from logs, it has been relatively common to assess reservoir quality from these parameters as a proxy for capillary pressure and pore throat measurements.
However, in thinly laminated reservoirs like the
Bakken, this is not always possible since the logging tools average
1 meter of rock. This means we cannot see the internal variations of
rock quality evident in the core data.
Example 2: Bakken, SE Saskatchewan With Pyrite Correction
Example 3: Bakken, North Dakota
Example 5: Viking, Alberta
Example 6: Dunvegan, Alberta
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