Long-Horizon Hole-Cleaning Surveillance from Surface Drilling Data
Hole condition reflects accumulated cuttings generation, circulation, static time, rotation, pipe movement, and tight-hole evidence over hours, not one current sample.
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Practical articles about drilling data architecture, statistics, engineering models, real-time systems, directional work, and applied AI.
Hole condition reflects accumulated cuttings generation, circulation, static time, rotation, pipe movement, and tight-hole evidence over hours, not one current sample.
Read article →Washouts and pump degradation can both reduce standpipe pressure. Flow-out behavior, hydraulic residuals, rig state, and missing evidence help separate them.
Read article →A detector identifies a departure; an alert decides whether it is reliable, consequential, timely, and actionable enough to interrupt the right person.
Read article →Event detection decides whether an abnormal condition warrants action; continuous optimization searches for a better admissible operating region. Their designs differ.
Read article →A meaningful change is a contextual departure with sufficient magnitude, persistence, and corroboration. A threshold crossing alone is not enough.
Read article →Separate sensor faults, real process changes, and bad model context by combining physics, supporting channels, operating state, persistence, and explicit uncertainty.
Read article →Physical models are powerful dynamic references. Their residuals become useful only after verification, calibration, state gating, context checks, and uncertainty treatment.
Read article →Torque-and-drag surveillance needs a calibrated weight and friction baseline. Depth-localized residuals often reveal more than one fitted friction factor.
Read article →Tortuosity is calculated from a sampled trajectory. Survey spacing changes the geometry available to the metric, and interpolation cannot restore unmeasured detail.
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