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Filtering by Tag: Rock mechanics

Similar rock, different lab, different results. Why?

EPI Question of the Month:

Jim, you are certainly an expert on laboratory triaxial rock testing, with many years of experience including assisting many rock mechanics laboratories and rock mechanics test data users, what do you think --even after decades of laboratory testing-- are the biggest reasons why there are considerable differences in the apparent rock properties measured by different laboratories?

REPLY from Jim Marquardt, EPI Affiliate

 

In my experience with a number of rock testing laboratories, indeed I do see considerable variations in the rock properties measured on similar rocks.  The variations are not just rock variability, but tend to be either test problems and/or interpretation problems.  Strength, shear stiffness and bulk compressibility, and ultra-sonic velocities all at varying confining pressures are among the most common properties measured. Measuring these properties under deep earth conditions is challenging. As one of my colleagues used to say, “if it was easy, everyone would do it”!

Jim Marquardt with triaxial test equipment.

Jim Marquardt with triaxial test equipment.

One of the challenges is that rocks vary greatly in strength and stiffness, ranging from unconsolidated sandstones from the deep waters of the Gulf of Mexico, to quartzites encountered in the mining industry, to the all-important shale plays in North America. The first step for measuring properties over this broad range is proper testing system setup and calibration.  For example, the range of the load cell and deformation measuring gages is critical.  One would not want to use a fifty-thousand pound (50k lbf) load cell when measuring the strength of a 500 psi weak sandstone.  Load at failure on a one-inch diameter sample would only be 1% of load-cell capacity.

Equally important is calibration of the instrumentation. One would not want to use a two hundred fifty thousand pound (250k lbf) class “A” instrument to calibrate the 50k lbf load cell noted above. Typically, third party calibration labs will provide a “10-point calibration”. Therefore by using the 250k lbf instrument to calibrate the 50k lbf load cell, only three data points would be utilized, 0, 25,000 and 50,000 pounds. It goes without saying that using that 50k lbf load cell calibrated with a 250k lbf instrument, for testing the weak sandstone noted above, is almost no calibration--yet I sometimes see this.

Measuring rock deformations is more difficult than measuring loads, and may be the source of the largest machine and interpretation problems.  The entire "specimen stack" deforms under pressure and load, therefore requiring separating the sample deformation from the entire specimen stack deformation.  This leads to Pressure Effect Corrections ("PE’s") and to Load Effect Corrections ("LE’s"). PE’s and LE’s are parameters that are typically directly measured on a standard material with known properties--such as aluminum, and applied either by hand or in the test computer software.     

This is not easy, and to complicate matters, very small rock deformations can be involved, for example in measuring pore compressibility. The stiffer the rock and the smaller the sample, the more important these corrections become. And making things more difficult, PE's required for the deformation measuring transducers (inside the high-pressure environment) are not perfect.  Transducer calibration tests can be made using a material with known properties (as noted above).  But unfortunately, the small deformation of metals under pressure does not "exercise" the transducers to the extent as when deformations are made on the specimen stack.  I have had experience with both strain-gauged cantilevers and with LVDT's for measuring the rock deformation. Each has its advantage and its limitations.  Overall, rock testing laboratories must be equipped with a wide range of transducers and calibration instruments. 

Specimen stack instrumentation.

Specimen stack instrumentation.

Another area where I have seen errors has to do with the specimen stack and the test computer software aimed to "automatically" take into account the specimen stack, the rock, and the transducers.  Since many things affect PE's and LE's, it is critical to maintain a compatible specimen stack, transducer, and test software.  I have seen outright errors where something has changed in the setup (like changing transducers, changing endcaps, a repair on a strain gage, or even a different electrical connection) but no change has been made in the PE's or LE’s.  Indeed, if these corrections are not properly determined and applied, incorrect apparent properties like Young's modulus, Poisson’s ratio, and bulk compressibility will be reported.

Finally, sample preparation, construction of the specimen stack, and test machine setup are critical.  Proper techniques for all are difficult, and require trained individuals.  Parallel sample ends, parallel specimen stack metal parts, and parallel machine alignment are required.  The overall handling of the sample and placement of transducers are major aspects to be considered. Samples with voids or inclusions or fractures pose special problems as the analysis assumes that samples are statically determinant and that deformation is homogeneous throughout the sample.  CT x-ray scans are very valuable to evaluate the quality of the sample prior to and after testing.

In conclusion, testing procedures and analysis of the recorded data determine the properties that are reported. I have seen cases of basic test procedure errors that lead to incorrect apparent properties.  In other cases I have seen correct procedures but incorrect analysis of the recorded data.  Specimen jacketing, endcap and spacer optimization, sample handling including moisture and temperature conditions, strain gage behavior, pre-loading of samples, and more.... are all details that lead to test scatter or to repeatable results. Experience teaches us that the details are critical! Thoughts anyone??


How meaningful are laboratory tests at representing in-situ rock?

EPI Question of the Month:

Lab testing of rock samples is on recovered samples. Rock core that has been stress relieved, had pore fluids and temperature disturbed, and is then re-loaded in the lab to simulate reservoir conditions — How meaningful are these tests regarding representing the in-situ rock?

REPLY from Rico Ramos, former EPI Affiliate

 

In conventional reservoirs like sandstones and carbonates, decades of laboratory testing aided with field observations and history-matching, have shown good correlations between laboratory reservoir simulated tests and in-situ behavior. With unconventional shale reservoirs, laboratory tests are more challenging and need to be addressed.

Overall, the usual objective for the oil/gas industry laboratory rock testing programs has been to gather a set of values that bracket the range of expected in-situ properties. In some cases, the testing program may be as simple as to gather a property "index" representation, at an estimated reservoir simulated condition, to compare with other rock measured properties. Where time and costs are major limitations, reservoir simulation may not be made at all, particularly when the results can be scaled to certain boundary constraints.  For the latter, the aim may simply be to measure quantities that could correlate with other measurement techniques--such as seismic and/or wireline logs, and then use these inferred properties, together with petrophysical properties, as inputs to analytical and numerical in-situ simulation models.

 In all the cases, the meaningfulness, usefulness, and the value of the laboratory measured rock properties could be assessed based on three quality control (QC) criteria:

  1. Repeatability of tests,

  2. Ability to correlate with other measurements,

  3. Ability to scale, spatially and as inputs to models of wells and reservoirs.

For repeatability, the measured properties for a given lithologic unit should fall into a 'tight' statistical bell curve. For the correlation with other measurements, a cross-check of core ultrasonic to log sonic velocities, the dynamic versus the static properties, the unconfined compressive strength to moduli are compared with petrophysical properties like porosity, permeability, and mineralogy. Comparing with the equivalent wireline log values using scatter x-plots and log-plots are handy graphic correlations.  And ultimately, the laboratory results are scaled to wellbore or reservoir scale, by using the laboratory measured properties in simulator models--such as drilling, wellbore stability, subsidence, sand production, hydraulic fracturing and production simulations. 

For the unconventional reservoir rocks, like shales, complexity is magnified making laboratory testing more demanding. They contain sub-micron multi-mineral components, large quantities of platy clays, organic matter, micro- to nano-meter porosity, and complex multi-phase in-situ pore fluids. On the macro scale, the rocks contain fine layers and sub-parallel interfaces, natural fractures and inclusions. The rocks tend to be highly anisotropic with nano-Darcy matrix permeability, and thinly-layered rock fabric, leading to heterogeneity at all scales.


Generally, typical conventional types of tests are performed across all rock types, shales, sandstones, and carbonates alike; including the same reservoir simulation procedures--basically confine the sample to the estimated reservoir and pore pressure stresses and sometimes to reservoir temperatures. As with conventional samples, linear elastic properties are inferred as for sandstones and carbonates--Young's modulus, Poisson's ratio, unconfined compressive strength, ultrasonic velocities, etc. And the three QC criteria of repeatability, ability to correlate with other measurements, and scalability, are also applied,

Even cognizant of the elements that distinguish shales, simulating reservoir conditions in laboratory tests haven't changed significantly. However, the rock testing programs have become more intensive and more tests are conducted, leading to higher costs. Large test-specimens and bigger test-populations are desired. Shales are very fragile, with large sample to sample variability, with high plugging failure rates, leading to higher degrees of sampling bias where more fragile specimens are eliminated from the testing matrix. 

Because of the extremely low permeability of the shales, pore pressure equilibration during the test is difficult to impossible to achieve. To help ensure reliable and repeatable tests, longer test-periods (i.e. slower loading rates) are conducted. Rock creep trends to a patchy pore pressure distribution, particularly for the higher clay samples. Some cases require "live" pore fluids, making re-saturation more complicated.

Cross-correlations of mechanical properties (like Young's modulus, Poisson’s ratio) with other petrophysical properties show a mix of test scatter and intrinsic rock variability, all due to heterogeneity. Statistically trends of frequency scatter plots and cross plots of these mechanical properties, and of petrophysical properties (such as micro-porosity and nano-Darcy permeability), are widely dispersed with high standard deviations and low correlation coefficients. Special techniques like continuous core profiling, CT and micro-CT, penetrometers, rebound testing, and continuous core logging, have proven their usefulness in characterization and correlations. However, keep in mind that these measurements are on un-stressed samples at ambient conditions.

Sandstone core used for lab testing.

Sandstone core used for lab testing.

Scalability is a major concern because test samples are limited to plug dimensions, and the luxury of full-diameter cores are limited. Testing protocols can be designed considering rock heterogeneity, anisotropy, petrology, and petrophysics; such that the results, when used as input to gridded models, help bracket the range of expected in-situ responses.

Because of inherent rock variability and the discrepancies between laboratory capabilities and in-situ conditions, recommendations that rely on the laboratory tests may be qualified with the cautionary "P70-, P80-, P90- descriptors". These caveats are based on standard deviations, cross-correlation coefficients, and scaling modeling.

In conclusion, with any type of laboratory rock testing, there are uncertainties in results. Laboratory rock specimens are neither pristine nor restorable to exact virgin states. Even so, stringently applying the three quality control criteria of repeatability, ability to correlate with other measurement, and the ability to scale to in-situ conditions are essential. This reduces the uncertainties involved in their applications and adds confidence in their usage. This is especially true for complex formations like the unconventional shales.


 

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