When to Trust a Statistical Drilling Benchmark and When Not To
A benchmark is trustworthy only when its population, independent unit, measurement method, weighting, dispersion, selection, and recency fit the decision.
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Drilling Performance Statistics
Statistical methods for comparing drilling execution without hiding context or uncertainty.
Using Percentiles and Distributions to Evaluate Drilling Performance
Percentiles locate observations within a defined population. Metric direction, analytical unit, weighting, cohort, spread, and sample size determine their meaning.
Read article →The Average Trap: Comparing Drilling Performance With Distributions
Averages can hide repeatability, multimodal behavior, and rare operational delays. Distributions reveal what is typical, variable, and worth investigating.
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