Qualifying Frac Sand Resources Using Cutting Edge Technology

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Tom Gapinske of Summit Envirosolutions presents several case studies using the CAMSIZER Dynamic Image Analyzer to replace sieves and the Krumbein test during the qualification of frac sands.

Technology

Sample prep & handling
Data correlation
PSD as decision tool
PSD for “fingerprinting”

Conclusions
 Camsizer
 Quick
 Reliable
 21st Century upgrade for PSD and more
 Sample Handling Key to Reproducible Results
 Natural variability on material is different that
manufactured product
 Use statistics & trend charts for big data sets vs.
time

{
“representative sample….”
• Analyzing Representative Samples
• Standardizing Testing …..
Methods
Techniques
Equipment
• Quality Assurance/Quality Control -
QA/QC

 NEVER scoop always use sample splitter
 No mechanical agitation like RoTap
 Clusters and “coating” source for
discrepancy
 Smaller sample size – unforgiving!!
Camsizer vs. Rotap
learnings

Sample prep
Air dry
Split & weigh
Wash, wet sieve – P200
Dry and calculate %loss
Micro photograph
Archive sample

Proving the “method…”
• Creating a “standard” sample
• Splitting “standard” sample – maintain
representative
• Confirm to “ISO equivalence”
• Establish statistically significant like
vs. different

Split sample into 5 parts. 4 splits used for ro-tap. 1 split used exclusively for
CAMSIZER
Run 3 of 4 samples in the ro-tap individually - once (saved 2, 3 and 4 to run through the
CAMSIZER)
Run 4th sample three times through ro-tap
Split the one sample used for the CAMSIZER into 4 smaller
parts
Run 3 of 4 samples through the CAMSIZER
once
Run the 4th sample through the CAMSIZER three
times
Run sample 2, 3, and 4 from the ro-tap through the
CAMSIZER

Average of all
Camsizer - Blue
Rotap - Red

Site 1 Site 2 Site 3 Site 4
Sieve Size (US
Standard)
% Retained Roundness Sphericity % Retained Roundness Sphericity % Retained Roundness Sphericity % Retained Roundness Sphericity
#16 0.1
0.92 0.96 0.4 0.91 0.87 0.3 0.91 0.87 0.6 0.67 0.86
#18 0.1
0.83 0.88 0.4 0.87 0.90 0.7 0.87 0.90 1.1 0.84 0.88
#20 0.8
0.75 0.85 1.1 0.83 0.87 1.5 0.83 0.87 1.7 0.85 0.85
#25 2.2
0.77 0.81 3.5 0.77 0.83 4.1 0.77 0.83 4.1 0.82 0.83
#30 6.6
0.78 0.83 5.2 0.82 0.83 7.2 0.82 0.83 6.3 0.80 0.78
#35 14.6
0.76 0.78 9.1 0.79 0.78 11.5 0.79 0.78 8.8 0.78 0.76
#40 17.6
0.73 0.77 10.2 0.79 0.77 12.7 0.79 0.77 9.7 0.76 0.76
#45 22.9
0.74 0.75 12.9 0.76 0.76 14.2 0.76 0.76 11.6 0.72 0.75
#50 20.0
0.70 0.72 10.2 0.72 0.73 11.4 0.72 0.73 10.2 0.68 0.73
#60 10.3
0.65 0.71 8.2 0.67 0.72 9.6 0.67 0.72 10.2 0.65 0.72
#70 2.2
0.61 0.70 5.3 0.63 0.70 5.7 0.63 0.70 7.2 0.62 0.71
#100 0.8
0.34 0.63 7.9 0.23 0.49 6.4 0.23 0.49 9.3 0.49 0.61
#200 0.4
0.19 0.54 16.5 0.22 0.43 8.1 0.22 0.43 11.3 0.24 0.38
PAN 1.5
9.2 6.6 8.0
20/40 41.0 0.7595 0.797 28.0 0.79275 0.79925 35.6 0.79275 0.79925 28.9 0.79175 0.784
30/50 75.1 0.7 0.8 42.4 0.8 0.8 49.8 0.8 0.8 40.3 0.7 0.8
40/70 55.3 0.7 0.7 36.6 0.7 0.7 40.9 0.7 0.7 39.2 0.7 0.7
4 sites

{
ArcGIS – Raster block allows x,y,z arithmetic

Data used to build…..
• 3d model of subsurface
• Estimate potential resource
quantity
• Data gaps, uncertainty & risks
• Risk/benefit of additional data
collection
• Resource Valuation Model ($$$)

• Stronger than diamonds
• Lighter than water
• Cheaper than dirt
• Available everywhere
Ideal Proppant….

Tom Gapinske
Summit Envirosolutions
1217 Bandana Blvd. N
St. Paul MN 55108
(651) 472 2468
tgapinske@summite.com

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