Measured. Not projected. · Last updated July 28, 2026
The numbers, with their labels on.
Every proof point WorkSync publishes, in one place: the number, what it means operationally, where it comes from, and how it is measured. Nothing on this page is a projection, a composite, or a modeled scenario. If a headline number is not here, we do not lead with it.
Wells under coverage
The scale of the largest live deployment: every producing well scored nightly and eligible for the ranked plan, across three basins (Western Anadarko, Permian, Wyoming).
Deployment fact · a top 25 private producer
How it is measured
Counted from the deployed asset hierarchy: wells integrated into DataHub and scored by the ranking engine, not a marketing estimate of wells "touched."
Free cash flow uplift on the same crew
The same wells, the same headcount, and the same trucks produce 15% more free cash flow, because the crew day is spent on the highest-value work instead of the calendar.
Deployment figure · measured across 5,000+ wells in live deployments
How it is measured
Measured against the pre-deployment baseline on the same asset base: production, deferment, and operating cost reconciled through the operator's own accounting close, not modeled from assumptions. "Same crew" is the control: no incremental headcount in the comparison window.
Fewer miles driven
Crews cover the same production responsibility while driving roughly a third fewer miles, because low-value stops fall off the route and the remaining stops are sequenced.
Deployment figure · same production coverage, measured across 5,000+ wells
How it is measured
Route logs before and after on the same field: total crew miles per period compared against the fixed-route baseline for the same well set. Fewer miles is a byproduct of ranking, not a route-compression target of its own.
TRIR across the deployment
Total recordable incident rate fell from 1.8 to 0.3 on a 12-month rolling basis: fewer exposure hours on the road and on low-value sites, and risk-adjusted dispatch that keeps unqualified workers off unsafe jobs.
Deployment figure · 12-month rolling, live deployment
How it is measured
Standard OSHA TRIR arithmetic on the operator's own recordable-incident log, compared across the pre- and post-deployment periods. The exposure-hours denominator comes from the same payroll records used for regulatory reporting.
Engineering hours per hydraulic model build
A hydraulic model build that consumed roughly 200 engineering hours of document archaeology and manual data entry now takes about 20 minutes: FlowSync builds the model from the PDFs, GIS, and SCADA the operator already has.
Deployment figure · FlowSync model builds in live use
How it is measured
Timed on real model builds: elapsed engineer time from source documents to a runnable model, compared against the loaded-hour history of the legacy manual workflow for equivalent systems.
Miles of pipeline under management
The midstream footprint running on the platform: gathering and transmission mileage whose models, data, and work management flow through WorkSync.
Deployment fact · live midstream deployments
How it is measured
Summed from the deployed GIS records of the pipeline systems integrated into the platform, not from customer press releases.
One relationship, stated carefully
A 60% cut in deferred production produces a 5 to 10% production uplift.
Cut in deferred production
The deferral bucket itself: production lost to down wells, late responses, and unworked exceptions shrinks by 60%, because the highest-value deferrals get a truck first.
Deployment figure
Resulting production uplift
What that cut is worth at the field level: because deferred production is a small share of total production, recovering 60% of it lifts total production by roughly 5 to 10%.
Derived from the 60% cut, same deployment
The honest version of this math matters. The 60% is a cut in the deferral bucket, not a production uplift; the 5 to 10% is the uplift, not the cut. Any telling that swaps the two overstates the result six to twelve times over, which is exactly the kind of claim this page exists to prevent.
Methodology: deferred production is measured from the operator’s downtime and variance records (deferred production, never “deferred downtime”), before and after deployment, on the same well set. The uplift is the recovered volume expressed against total field production over the same window.
Where these numbers come from.
The deployment figures above were measured at the reference deployment: a top 25 private producer running 5,000+ wells across the Western Anadarko, Permian, and Wyoming, in live production. The full story of that deployment, including the 12-week first rollout and what the productized 4-week stand-up changed, is in the 3-basin case study. What the platform actually does to produce them is covered in Pump by Priority: The Complete Guide and on WellOPS.
Independent, third-party research on the operating framework behind these results (including the Alvarez & Marsal exception-based surveillance study) is collected on Exception-Based Surveillance and the State of Oil & Gas Operations data hub.
Why does every number carry a label?
House rule: no bare statistics. A number without provenance is marketing; a number with its measurement method is evidence. Every figure on this page is either a deployment figure (measured on live operations against a pre-deployment baseline) or a deployment fact (counted from deployed systems). WorkSync publishes no modeled projections as proof points.
Who is the reference deployment?
A top 25 US private producer running 5,000+ wells across the Western Anadarko, Permian, and Wyoming. We do not name customers; the anonymity is deliberate. The scale, basins, and figures are stated exactly as measured.
Why is the deferred production number a 60% cut but only a 5 to 10% uplift?
Because deferred production is a small share of total production. Cutting the deferral bucket by 60% (the deployment figure) recovers barrels equal to roughly 5 to 10% of total production. The 60% is the cut in the deferral bucket; the 5 to 10% is the resulting production uplift. Quoting the 60% as a production uplift would be wrong, and we do not do it.
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