Vision Analytical recently took the Raptor dynamic imaging system for a spin, analyzing dry powder samples in the lab. Supplied by Peter Osborne of OHS Resources, the LCM samples offered a great test case for real-world performance.
Lost Circulation Materials are widely used in wellbore applications to mitigate fluid losses. They tend to exhibit a distinct mix of particle sizes and shapes, making them ideally suited to highlighting the instrument’s advanced capabilities.
These samples had been previously analyzed using a wet dispersion method, but a dry dispersion configuration was used for this run to assess the system’s capacity to accommodate larger, coarse particles in their natural state.
From Sample Loading to Real-Time Analysis
The sample was first introduced into the vibratory feeder, triggering real-time particle-size analysis within a few seconds:
- Number-weighted distribution showed a concentration of fine particles, including particles around 20 microns in size.
- Volume-weighted distribution highlighted the presence of coarse particles, extending beyond 1000 microns to almost 2500 microns in size.
These measurements could be visualized live via the system’s intuitive interface, while high-resolution images of each particle were captured simultaneously.
Interactive Particle Classification
After the run, the analysis dashboard was opened to review its findings. This dashboard is one of the most powerful tools in the platform and allows exploration of a range of useful features.
Custom Classifications
Particles were grouped by size and shape using the dashboard’s classification features:
- Large particles, which were defined as 500 to 2500 microns and were primarily elongated in shape.
- Small particles, which were defined as under 500 microns. These particles accounted for 61.7 % of the total population.
- Long particles, which were classified by an aspect ratio > 3:1, highlight clear structural elongation.
- Rough particles, which were identified via high edge complexity or perimeter variation.
Thumbnail Navigation
Rather than scanning through over 7,000 particle images, classification allowed the users to:
- Focus solely on particles of interest
- Observe distinct morphological features
- Quantify each class according to its percentage contribution to the sample
This approach replaces a historically tedious visual inspection with a rapid, insightful, and data-driven particle characterization process.
Analyzing LCM Materials in Oil & Gas with the Raptor Portable Particle Analyzer
Video Credit: Vision Analytical Inc.
Conclusion
Understanding particle size and shape distribution is key to predicting material performance across industry, from oilfield services and additive manufacturing through to quality control.
The application of dynamic image analysis to LCM materials in both wet and dry configurations enables a more comprehensive understanding of their behavior.
Acknowledgments
Produced from materials originally authored by Vision Analytical Incorporated.
This information has been sourced, reviewed, and adapted from materials provided by Vision Analytical Inc.
For more information on this source, please visit Vision Analytical Inc.