InfinityPL autonomous plunger-lift optimization at Encino
Stated project start.
AI-168 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceNamed AI-driven artificial-lift deployment at 344 platform wells; disclosed impacts remain vendor-reported.
Vendor case study gives three decline measures: pilot group, annual production decline improved 7% vs manually optimized wells; full-scale (344 wells), exponential decline rate 10% to 9% (1 percentage point); straight-line decline 19% manual vs 9% auto (10 points). Venting events -62%. All vendor-reported/customer case study.
Vendor case only; raw data, cohort sizes and validation method are not supplied. Pilot and full-scale metrics should not be combined.
Analyst inference: The workflow is a named, scaled closed-loop deployment. The source supports the use case and reports improvements, but cannot independently establish impact.
InfinityPL customer deployment
Stated project start.
Case reports deployment scale and outcomes.
A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.