Reservoir characterization
Integrate optical thin sections with SEM, XRD and cathodoluminescence to determine lithology, pore types, diagenetic alteration and depositional controls on reservoir quality.
Clastic reservoirs
Sandstone petrography
A direct route from mineral and textural relationships to reservoir quality, pore-system behaviour and geological prediction.
Read the reservoir at grain scale.
Optical thin-section petrography is valuable as a stand-alone method and becomes even more powerful when integrated with SEM, XRD, cathodoluminescence, core analysis and well logs.
Pore-network assessment
Identify pore types and connectivity, and quantify pore geometry, size and shape—particularly valuable for cuttings, sidewall cores and unconsolidated samples.
Diagenesis & quality prediction
Reconstruct compaction, cementation, dissolution and replacement, linking mineral reactions to burial conditions and reservoir-quality trends.
Log calibration & petrophysics
Relate mineralogy, texture, clay distribution and pore types to NMR, density, gamma-ray and porosity responses.
Rock typing
Cluster measurable mineralogical and textural attributes into geologically meaningful rock types that explain petrophysical behaviour.
Provenance & palaeogeography
Use quartz varieties, feldspars, lithic fragments and heavy minerals to interpret source, transport, maturity and basin evolution.
Formation damage
Evaluate reactive minerals, clays, fines and pore-lining phases that may interact with drilling, completion, stimulation, injection or production fluids.
Further applications
One dataset, many geological questions.
- Geomechanical properties, hardness and brittleness
- Burial-history reconstruction using fluid inclusions
- Hydrocarbon migration pathways in cements and fracture fills
- Organic and inorganic geochemistry
- Seismic signature and attribute interpretation
- Well correlation and sedimentological interpretation
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