What It Is
This article maps the technical path from CPT data to LPA outputs and highlights where assumptions usually drive uncertainty.
Why It Matters
Most review challenges in LPA originate in interpretation and assumption handling rather than in final report formatting.
How It Works
- Confirm CPT quality and data completeness.
- Define stratigraphy and parameter assumptions with rationale.
- Run assessment scenarios and sensitivity cases.
- Package output with explicit assumption traceability.
Common Mistakes
Frequent issues include missing interpretation notes, hidden conservative factors, and limited sensitivity visibility in reports.
Conclusion
When input assumptions are explicit and checked early, LPA output quality improves and project teams can make decisions faster with clearer technical confidence.
