From pump by exception to pump by priority.
The exception investment you already made detects change. It does not decide where the next field hour goes, and that gap between detecting and deciding is where the cash flow impact you were promised is still sitting. Pump by priority closes the gap in one step: price the exception, rank the work, route the crew, learn from the outcome. You keep the systems that flag.
One step, not a rebuild
Operators have spent millions on field automation and watched the cash flow line not move.
An alert that never becomes a prioritized stop is noise with a timestamp. The missing layer is not more detection: it is valuation and allocation, and it sits directly on top of what you already built. Each step below pays for itself, and the order is deliberate, because scoring an unrationalized queue produces precise rankings of garbage. Trust is built in the same order the steps run.
Exceptions detected, unpriced
SCADA is in, alarms fire, models run. The queue reports change without reporting value, so the morning still starts with a spreadsheet and a judgment call.
Every exception priced and ranked
Each flag gets a dollars-per-day value from production at risk, intervention economics, and constraints, then competes with every other open job on one economic ruler.
A ranked, routed day that learns
The plan is in the cab by 6 AM, close-outs feed the scoring, and the ranking gets sharper every quarter. The exception stack you own becomes the input layer.
What actually changes
The morning meeting inverts, and the exception queue becomes an input.
Under pump by exception, the morning meeting assembles the plan. Under a ranked plan, the plan already exists at 6 AM and the meeting’s job inverts to exception handling on the plan: review the top tier, hear the overrides and their reasons, confirm the safety gates are staffed, release. The foreman stops being a human router and becomes the plan’s editor and teacher, and the override stream, one tap with a reason code, becomes the richest feedback signal the company owns.
Your systems keep their jobs. SCADA keeps detecting, the historian keeps recording, the exception framework keeps flagging: read-only in, ranked work out, outcomes back into the systems you choose. Rollout runs on adoption gates rather than dates, and the gates are ours to hit, not yours. A tool the field does not use has no effectiveness to measure, so usage comes first, and only then is the number judged against the baseline you signed before week one.
Proof
The step has been taken at scale.
15% free cash flow uplift on the same crew and 35% fewer miles driven, measured across 5,000+ wells in live deployments at a top 25 private producer. Results are not projections, and what transfers to your operation is exactly what the 4-week pilot measures, against a baseline you set.
The full argument, at every depth
The side-by-side comparison
The two models compared line by line: the two questions, an illustrative 47-exception morning, and the four generations of field operations.
Pump by exception vs pump by priority →The in-depth guide
Where pump by exception came from, what it fixed, where its ceiling sits, and the full mechanics of the model that follows it.
Read the pump by exception guide →The research paper
Taking pump by exception to the next level: the published white paper, full text, with the maturity ladder and the trust mechanics.
Read the white paper →The platform that implements it
WellOPS is the Pump by Priority platform: prioritization, work management, route optimization, field data capture, and accruals in one place.
Walk the WellOPS platform →Your exceptions, priced and ranked, in four weeks.
Bring us one field’s data. We’ll show you the ranked version of the queue your team triaged this morning, and what the difference was worth.
See Your Wells Ranked