Pumpjack at golden hour

The Operations Prioritization System (OPS) Answers the Only Question That Matters: What Should We Be Working on Right Now?

Not another dashboard. Not another reporting tool. A continuous intelligence engine that finds what's costing you money, ranks it by economic impact, and routes the right work to the right people, every day.

See What OPS Looks Like in Your Operation

The Gap Between Your Data and Your Field Crews Is Costing You Millions

Your SCADA system fires 200 alarms a day. Your pumpers drive fixed routes regardless of what's actually happening. Your superintendent juggles priorities from three different spreadsheets. Traditional threshold-based alarms do not learn which alerts matter. The result: duplicate site visits, wasted windshield time, alarm fatigue, and deferred production that quietly erodes your cash flow, often by 10-15% or more.

WorkSync's per-well ML models learn what normal looks like for each individual well, accounting for seasonal patterns, decline curves, and equipment age. The result is detection that adapts to your operation, not static thresholds that generate noise.

The data exists. The decisions don't follow from it. The Operations Prioritization System closes that gap.

OPS Control Room dashboard showing real-time operational intelligence with geospatial map, activity feed, and key metrics

The OPS Control Room delivers real-time operational intelligence across your entire operation

Geospatial Route Map

Optimized crew routes based on ranked priorities and geography

Economic Scoring Panel

Every issue ranked by dollar impact; highest value surfaces first

Real-Time Activity Feed

Live visibility into crew locations, completions, and exceptions

The OPS Intelligence Loop — Powered by WorkSync AI

INGEST (AI Data QA)

Connects to SCADA, production accounting, CMMS, ERP, and engineering systems. Extraction agents and an ML-driven data quality engine detect sensor drift, stuck values, and bad readings before they corrupt downstream decisions.

DETECT (ML Anomaly Detection)

ML anomaly detection models learn each well's unique operational baseline across pressures, flow rates, temperatures, and runtime. Predictive failure models identify equipment degradation 48-72 hours before failure. Data QA agents automatically detect sensor drift, stuck values, and bad readings before they trigger false alarms.

PRIORITIZE (AI Economic Scoring)

Every issue receives an AI-calculated economic impact score: dollars at risk per hour of inaction. ML factors in production rate, commodity prices, working interest, trend trajectory, and intervention success probability.

ROUTE (AI Optimization)

Constraint-based optimization algorithms (the same class of AI used by UPS and Amazon for fleet routing) assemble scored tasks into crew-specific plans that maximize total economic recovery per crew-day.

EXECUTE & ADAPT

Delivers AI-optimized work lists to field crews via mobile. When conditions change mid-day, the AI re-optimizes remaining plans across all crews. No call to dispatch required.

LEARN (Reinforcement Learning)

Every execution outcome feeds back into every model. The system learns your specific operation and gets measurably more precise over time.

Every completed task feeds back into the loop. The agent pipeline uses machine learning to improve with every execution cycle, validating predictions against actual outcomes and continuously refining priorities. Intelligence that augments your team's judgment, not replaces it.

OPS in Action

Every view is designed for a different decision. Here's what your team actually sees.

OPS Kanban board showing ranked work list with status tracking

Ranked Work List

Every site scored and sorted by economic impact. Drag between columns as work progresses through the day.

OPS geospatial route map showing optimized crew routes

Optimized Route Map

Crew routes optimized by geography, priority, and constraints. Every stop ranked before the truck leaves the yard.

OPS real-time activity feed showing crew completions and field updates

Real-Time Activity Feed

Live visibility into crew completions, status changes, and field notes. No phone calls needed.

OPS site summary showing auto-generated flags and alerts

Automated Site Flags

Below-forecast production, high tank levels, oil run readiness, and ticket alerts, all auto-generated and scored.

WellOPS

For Upstream

Production optimization across hundreds of wells. State estimation, production allocation, haul prioritization, and chemical optimization, all scored by economic impact.

PipelineOPS

Coming Soon

For Midstream

PHMSA compliance creates $155.1M in first-year costs for operators. OQ-constrained dispatch, integrity risk scoring, and coordinated field execution across hundreds of miles.

Proven Outcomes

Production Uptime

5% less deferred production. 20-35% improvement in deferment capture.

Operating Expense

40% OPEX reduction. 15-25% LOE/BOE reduction. 15%+ free cash flow uplift.

Safety

TRIR reduced from 1.8 to 0.3. Risk-informed prioritization built into every decision.

Field Efficiency

35% fewer site visits. 40% lower liquid inventories. Optimized routing.

Executive Visibility

Real-time operational picture. No manual reports. No waiting for spreadsheet roll-ups.

SAFETY IMPACT: TRIR reduced from 1.8 to 0.3

An 83% reduction through risk-informed prioritization built into every daily plan.

From pump by exception to pump by priority to fully intelligent operations. All outcomes validated in live field operations across 4,000+ wells in the Western Anadarko Basin. Results measured vs. pre-deployment baseline.

Integrates With Your Existing Systems

SCADA / IoTERPProduction AccountingEngineering SimulationCMMSTelematicsGIS

Frequently Asked Questions

WellOPS is the upstream-specific module of WorkSync OPS that ranks every well task by economic impact. It combines ML anomaly detection, predictive maintenance, AI economic scoring, and constraint-based route optimization to deliver prioritized daily work plans to field crews.
WellOPS requires SCADA/IoT data (pressures, flow rates, temperatures, runtime hours) and production accounting data as its foundation. Optionally, it integrates CMMS work order history and engineering models to further improve scoring accuracy and predictive capabilities.
WellOPS builds per-well ML models trained specifically on each lift type, including rod pumps, ESPs, gas lift, plunger lift, and chemical injection systems. Each model learns the unique operating signature and failure patterns for that well and lift type.
In a live deployment across 4,000+ wells in the Western Anadarko Basin, WellOPS delivered 15%+ free cash flow uplift, an 83% TRIR improvement (from 1.8 to 0.3), 35% fewer site visits, and 40% lower liquid hauling inventories.

Ready to See What Your Operation Looks Like When Every Decision Has a Dollar Value?