SurveyIQ Offshore Survey Operating System

Offshore survey campaigns move from contracted scope through procedure definition, operational readiness, field execution, daily reporting, and deliverable release. Conventionally each stage uses separate documents, spreadsheets, and departmental tools.

Assumptions are lost between scope and procedure; readiness is judged inconsistently; events are recorded in parallel logs; conditions are reconciled informally; reports are re-keyed by hand; and deliverables are tracked separately from execution. A technical problem exists: how to connect the full campaign chain through shared operational data shapes so that each stage references the previous one and downstream outputs derive from recorded truth.

The inventive contribution is an integrated offshore survey operating system in which scope items, procedure packs, work packages, readiness states, validated events, condition evaluations, verified reports, and deliverable records reference one another through shared data-model shapes — rather than any single module in isolation.

In one embodiment the operating system comprises a workscope intake; a procedure-pack builder; work-package decomposition; readiness aggregation for a command centre; a validated multi-department event ledger; an operational condition engine evaluating procedure tolerances; a report synthesiser with number verification; and a deliverables register linked to scope and execution.

Scope item

A structured unit of contracted work with method references and acceptance criteria.

Procedure pack

A reviewable bundle describing how a scope item is executed, including assumptions, source references, blocking conditions, and a deliverable register.

Command-centre read model

An aggregate presenting readiness, status and progress with explicit per-element presentation states.

Event ledger

A validated, attributable record of operational events feeding reporting, dashboards and condition evaluation.

Condition engine

Evaluates live signals and procedure tolerances into a shared, explainable operational condition.

Report synthesiser

Produces daily progress reports from recorded events with deterministic metrics and number verification.

Deliverables register

Tracks deliverable intent from scope through execution to release status.

The data model may include, at a conceptual level:

1. 01

   Define scope

   Contracted work is represented as structured scope items.

2. 02

   Build procedure packs

   Scope items decompose into procedure packs with assumptions, tolerances and deliverables.

3. 03

   Plan work packages

   Procedure packs decompose into schedulable work packages with prerequisites.

4. 04

   Aggregate readiness

   The command centre presents readiness derived from prerequisites and live conditions.

5. 05

   Record execution

   Operational events are validated and persisted in the shared ledger.

6. 06

   Evaluate conditions

   Live signals are evaluated against procedure tolerances and propagated across surfaces.

7. 07

   Synthesise reports

   Daily progress reports are derived from events with verified quantitative claims.

8. 08

   Manage deliverables

   Deliverables trace from scope through execution to release.

In one embodiment operators move between connected surfaces — scope overview, procedure-pack editor, command centre, logbook timeline, condition panel, report generation, and deliverables register — with consistent references between planned items, live readiness, recorded events, and reporting outputs.

campaignLifecycle(scope):
    packs = buildProcedurePacks(scope)
    packages = decompose(packs)
    for day in campaign:
        readiness = aggregateReadiness(packages, conditions.evaluate())
        commandCentre.publish(readiness)
        events = ledger.entriesFor(day)
        conditions.propagate(conditions.evaluate())
        report = synthesiseReport(day, events, scope.plan)
        deliverables.updateFrom(events)
    return closeout(deliverables, report)

Illustrative high-level pseudo-code only. This is not production source code and does not disclose implementation-specific algorithms, schemas, thresholds, credentials, customer data, or deployment details.

• ▹A geophysical campaign scope decomposes into procedure packs, each carrying assumptions, tolerances and deliverables, visible at the command centre before execution begins.
• ▹Recorded survey events feed a verified daily progress report and update deliverable completion without re-keying.
• ▹A condition breach on a planned activity blocks readiness at the command centre while the underlying constraint and contributing causes remain visible.

The disclosed operating system connects planned intent to recorded execution and deliverable release; preserves assumptions and tolerances through the chain; computes readiness consistently; maintains one validated event stream; evaluates conditions against procedure limits; verifies report figures against events; and traces deliverables to scope. The technical effect is reduced reconciliation effort and a coherent operational record across the campaign lifecycle.