AI-Optimized Plunger Lift
for Gas Wells
Talisman replaces static timer-based plunger lift control with a self-learning AI system that continuously optimizes every cycle parameter to maximize gas production and minimize failure risk — without requiring new controller hardware.
20–40%
Production increase
Measured 90 days post-deployment
72 hr
Failure detection lead time
Median, all anomaly types
85%
Liquid loading events prevented
vs. baseline timer control
4 hr
Avg. installation time
Per well site, no production stop
The Problem
Static timers are costing you production every day.
Most plunger lift wells run on fixed open/close timers set at initial installation — then rarely adjusted.
As reservoir pressure declines, liquid loading patterns change. Fixed timers fail to adapt, leaving gas trapped and increasing wear.
Operators physically monitoring hundreds of wells cannot re-optimize cycles frequently enough to capture the available production.
The result: 20–40% of recoverable gas is left unproduced from timer-controlled plunger lift wells.
Typical Timer-Controlled Well
██ Surface Equipment ██
Motor valve: FIXED 3hr cycle
Afterflow: FIXED 45min
Last tuned: 14 months ago
⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
Plunger pos: Unknown
Liquid load: Building (undetected)
Turner rate: Below critical
⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
Est. deferred production: 28% / month
Capabilities
Everything the static controller cannot do
Adaptive Cycle Optimization
Real-time analysis of every plunger trip. AI dynamically computes optimal tubing-over-static, afterflow duration, and shut-in timing based on casing/tubing pressure, velocity zones, and gas volume data.
Predictive Failure Detection
Multivariate anomaly detection flags plunger wear, sticking events, liquid loading, and slug accumulation 24–72 hours before production impact. Automatic recovery initiation prevents dead-well downtime.
Multi-Well Fleet Analysis
Monitor up to six wells simultaneously with real-time KPI strip showing fleet arrival rates, velocity optimization, health scores, and comparative performance benchmarking across all monitored wells.
Physics-Based Rules Engine
AI recommendations validated against load factor compliance, casing pressure limits, optimal velocity ranges (350–1200 ft/min), and GLR feasibility. Every action satisfies physics constraints.
Liquid Loading Prevention
Turner rate monitoring with early warning system. AI-driven setpoint adjustments prevent liquid loading before it kills the well — the leading cause of gas well decline.
Safety & Compliance
Automated high-low pressure safety shut-ins, configurable operator overrides, full audit logs, and production scenario forecasting. Integrated compliance for regulatory review.
System Architecture
Three layers. One coherent system.
Talisman is architected for the reliability requirements of production operations — edge-first, cloud-enhanced, and always in control.
Field Layer
- Pressure transducers (surface, casing, tubing)
- Flow meter (orifice or differential pressure)
- Motor valve actuator
- Existing RTU / controller
Edge Layer
- Talisman Edge Module (DIN-rail mount)
- Local inference engine (<200ms latency)
- Controller setpoint write interface
- Local data store (30-day ring buffer)
Cloud Layer
- Fleet-level ML model training
- Cross-well pattern recognition
- OTA model deployment
- Operations dashboard & alerting
Get Started
See the optimization potential of your wells.
Bring 30 days of production data to a technical demo and we'll model the upside before you commit to a single dollar of deployment spend.
Book a Field Demo