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WorkSync · Research · Volume II · May 2026

Optimal Route Planning in Oil and Gas

Multi-class field work and constraint-aware crew dispatch at 125+ assets per operator.

A modern shale operator dispatches a pumper across 100 to 300 producing assets per shift, juggling six classes of work at once: scheduled maintenance, reactive failures, regulatory deadlines, risk-based visits, liquid management, and routine gauging. The decisions interact. A hauler dispatched late shuts in a well. An inspection missed by an hour erases a month of capture credit. This paper shows the problem is genuinely intractable by hand, and that a system built for it moves 35% of site visits out of the field while improving free cash flow 15% on the same crew.

35%
fewer site visits
40%
fewer drive miles
+15%
free cash flow
1.8 → 0.3
TRIR, 83% lower
0
tank-induced shut-ins
≤15 min
morning plan, from 90 to 120
Preview · First 3 pages40 pages total
White paper cover: Optimal Route Planning in Oil and GasP.1
White paper page 2: abstract and introductionP.2
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Read the full paper

Get all 40 pages: the formal MC-VRPTW-S model, the activity-based FP&A scoring substrate, the ALNS solver, and the field-validated benchmark outcomes from a 5,000-well, three-basin deployment. We will follow up only if it makes sense.

40 pages · PDF

What is inside

  • The combinatorial reality: why both manual planning and generic routing tools fail at field scale.
  • The activity-based FP&A model that turns every dispatchable activity into a dollar score.
  • The reservoir-to-custody-transfer physical chain that grounds the economics.
  • A formal risk model with regulatory, safety, and operator-qualification tiers.
  • The MC-VRPTW-S formulation: multi-class routing with synchronization constraints.
  • An Adaptive Large Neighborhood Search solver scaled to 200 to 600 tasks across 10 to 40 crews.
  • Online re-optimization and multi-day rolling-horizon planning.
  • Field-validated empirical results from a 5,000-well, three-basin deployment.

Field-validated outcomes

Measured over a 12-month deployment at a top-25 private producer across three basins (Western Anadarko, Permian, and Wyoming): 5,000+ wells, roughly 200 producing pads, 80 disposal and central facilities, and 10 to 40 active crews per day. Same wells, same crews, measured against pre-deployment baselines.

MetricBaselineOutcome
Site visits per crew-shift1.000.65
Drive miles per shift100%60%
Free cash flow, same crewbaseline+15%
TRIR (recordables / 200k hrs)1.80.3
Tank-induced well shut-insrecurring0
Missed regulatory windows / qtr4 to 70
Morning plan time90 to 120 min≤15 min
Re-optimization latencyhours< 5 min

Outcomes are specific to this deployment and calibration. New basins, equipment classes, or operating philosophies require a calibration period before results match these benchmarks.

The route plan that runs your field by 6 AM

The research is the why. WellOPS Route Optimizer is the how: the ranked, constraint-aware plan in every truck cab, scored on cash flow and risk instead of distance.