Financial research concept

Offshore Drilling Planned Out-of-Service Days: Scheduled Fleet Downtime

Offshore drilling planned out-of-service days measure scheduled periods when rigs are expected to be unavailable for work because of maintenance, repairs, mobilization, or shipyard projects.

By Lee BaileyPublished Sep 20, 2026
Research context

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Research date
Sep 20, 2026Use the dated article and cited sources for the definition, examples, and stated limitations.
Operating-model context
12 connected conceptsPart of the reviewed Offshore Drilling Operating Model; issuer definitions remain distinct where disclosed.
  1. Scheduled downtime can reduce near-term earning days
  2. Planned and unplanned downtime are different
  3. The reason for downtime matters
  4. Primary-source examples
  5. Part of the Offshore Drilling Operating Model
  6. Continue Research

Offshore drilling planned out-of-service days measure scheduled periods when a rig is expected to be unavailable for normal contract drilling because of maintenance, repairs, mobilization, upgrades, or shipyard work.

It is a planned availability measure, not realized operational downtime.

Scheduled downtime can reduce near-term earning days

Valaris publishes expected out-of-service days for identified rigs and quarters in its fleet status reports.

Those days can include planned maintenance and mobilization work. For example, its 2026 fleet reports identified future periods out of service for several drillships and jackups.

A rig with a signed contract can therefore still have fewer revenue-producing days if maintenance or mobilization must occur before, during, or between programs.

Planned and unplanned downtime are different

Planned out-of-service days are known or expected in advance.

Unexpected mechanical failures, weather downtime, customer suspensions, and operational incidents can create additional lost time and may affect realized revenue efficiency.

That distinction matters when comparing a forecast schedule with actual operating performance.

The reason for downtime matters

A long shipyard period may represent ordinary maintenance, a customer-funded upgrade, a contract-specific modification, or a major repair.

Those cases can have very different implications for future dayrates, capital spending, and contract duration.

Primary-source examples

Offshore drilling planned out-of-service days are most useful as a scheduled fleet-availability measure. Pair them with operating days, revenue efficiency, contract schedules, and capital projects.

Part of the Offshore Drilling Operating Model

Connect fleet status, committed capacity, contract coverage, stacked and out-of-service rigs, reactivation spending, dayrates, operating days, utilization, revenue efficiency, and backlog to understand offshore-drilling economics and forward fleet readiness.

How the model fits together
  • Contracted capacity and activity: Fleet status defines which rigs are marketable, contracted, stacked, or otherwise unavailable. Operating days and rig utilization show how much fleet capacity actually earns under contract, while backlog describes firm future work rather than current-period activity.
  • Dayrate and revenue conversion: Average dayrate monetizes operating days, while revenue efficiency compares realized contract-drilling revenue with the maximum revenue contracted rigs could have earned. Downtime and alternative contractual rates can reduce revenue efficiency without changing the headline contract dayrate.
  • Forward contract coverage and fleet readiness: Committed days and contract coverage show how much marketed capacity is already spoken for, while uncommitted fleet rate shows capacity still open to future awards. Stacked rig count and planned out-of-service days identify capacity that is unavailable or temporarily removed from service, and reactivation capital expenditures show the investment that may be required to return inactive rigs to work. These issuer-defined measures add forward capacity and readiness context rather than forming a standardized cross-company formula.

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