Platform AssureLens AccioLens Industries Energy & Industry Financial Services SMB - Small & Mid-Sized Business Company About Team Blog Career Contact Build your AI Blueprint Español
Industry · OIL & GAS OPERATORSFunction · Drilling & Wells
UC-006

Cross-Portfolio NPT Pattern Recognition

Reads daily drilling reports across the full field portfolio to surface recurring non-productive-time causes before a well spuds.

8-14Build Duration
44-88xIndicative ROI

The Challenge

Non-productive time averages ~$2M per well for wellbore-stability events alone. After acquisitions no single engineer holds the cross-portfolio memory needed to recognize repeat failure modes.

How It Works

  • Ingests historical DDRs, end-of-well reports, NPT codes, mud logs and BHA records.
  • Clusters NPT events by cause - stuck pipe, losses, kicks - across legacy datasets.
  • Briefs the team before each DWOP and alerts on patterns in real time during drilling.

What It Removes

  • Repeating an NPT event the portfolio already solved
  • Cross-portfolio memory held by one engineer
  • NPT causes reviewed only after the well is done
Input Data RequirementsHistorical DDRs, end-of-well reports, NPT codes, mud logs, BHA records across every field
Output FormatPre-DWOP analogue briefing with root causes and mitigations, live NPT pattern alerts
Before we spud, I know which failures this formation has already caused us elsewhere.
SwarmLens · Public Use-Case Library

← Back to all use cases