Professional services target
Over 60%
Lower upfront services cost
Reduce manual mapping, formula transcription and custom screen setup. Assess the savings against an agreed conventional implementation baseline.
Accelerated model onboarding
Days to a governed model. People in control.
Move beyond the months-long migration project. Hydrocarbon Flow 360 scans your legacy records, proposes the network and calculation logic, and puts engineers and production accountants in charge of validation before go-live.
3–7 day deployment targetLegacy ingestion in hoursHuman sign-off before release
Timing targets apply to scoped deployments with accessible source data. Data quality, integrations, validation and operator readiness determine the final schedule.
A different implementation path
Spend the effort on validation, not transcription.
Replace manual reconstruction of well tests, shrinkage curves and meter relationships with automated data synthesis and explicit engineering review.
| Implementation | Traditional project | HF360 onboarding engine |
|---|---|---|
| Indicative timeline | 6–12 months | 3–7 days target |
| Delivery approach | Consultant-led mapping and custom setup | AI preparation + domain-led validation |
| Legacy logic | Manually transcribed and rebuilt | Proposed from source records, then reconciled |
| Cutover gate | Project-specific testing and acceptance | Parallel-period evidence and engineer sign-off |
Illustrative planning comparison, not a measured customer benchmark. Confirm scope, source availability and acceptance criteria during migration discovery.
The four-stage deployment engine
From inherited records to an approved digital twin.
AI accelerates discovery and configuration. Your domain team resolves uncertainty, reconciles the numbers and authorises the production release.
Select a stage to explore its inputs, review controls and deliverables.
Ingest & scan
Start with the records your operation already owns.
Bring legacy production data, spreadsheets and engineering records together. Automated pattern parsing scans naming conventions and relationships to propose a structured inventory for review.
Stage deliverable
A source inventory and proposed asset mappings, with ambiguities identified for review.
- Legacy sources
- Excel workbooks and macros, Access and SQL databases, Avocet, Fieldview, Merrick and Quorum exports.
- Operational context
- SCADA tag catalogs, historian exports, P&IDs and daily production reports establish the equipment and measurement context.
- Semantic mapping
- Proposed mappings distinguish test and bulk separators, gas lift headers, flare lines and disposition meters without starting tag by tag.
For CFOs & CIOs
A smaller setup burden. An earlier path to value.
Build the migration business case around less manual setup, earlier parallel accounting and a controlled operational handover.
Parallel-run target
Week one
Earlier reconciliation
Bring historical and daily accounting into parallel review sooner, so domain teams can resolve exceptions before cutover.
Operational continuity
An evidence-led cutover
Keep the existing production record in place during validation. Agree ownership, readiness and acceptance before the new model takes over.
Savings and timing are project targets, not guaranteed outcomes. ROI depends on implementation scope, source quality, integration effort and the operating benefits established with your team.
Enterprise foundation · Three hosting options
Choose the operating model, not a different product.
The accelerated deployment approach follows your data policy. Functionality, data model and configuration are identical across all three options. Only hosting and operating responsibility change.
Shared service
We host and operate the platform. Your workspace is separated at the database level, with your own facilities, users and configuration. Fastest route to a working balance.
On premises
A single-customer installation inside your own network and change-control regime, for operations that cannot place production data outside their perimeter.
Dedicated instance
A cloned instance operated for you alone — your own database, release cadence and integration surface, without running the infrastructure yourself.
Database engines
PostgreSQL, SQL Server or Oracle.
The platform runs on the engine your estate already standardises on, so database administration, backup, retention and disaster recovery stay inside the practices your team already operates.
01
Tenancy
Workspaces are separated in the database, not only in application logic. Facility-level access narrows what each role can see within a workspace.
02
Identity
Microsoft 365 sign-in for organisations already standardised on it, with role assignment held in the platform.
03
Configuration
Asset templates, units of measure, screens and branding are configured per workspace, so a new facility is a configuration exercise rather than a re-implementation.
04
Integration
Historian and SCADA tag mapping, bulk data loading, scheduled jobs and outbound events, with cargo and bill-of-lading records structured for ERP consumption.
Every deployment keeps the same audit history, allocation lineage and period-close controls. Where your data sits changes nothing about how defensible the numbers are.
Request a demonstration
See your operations connected across the value chain.
We will scope the demonstration to the facilities you operate and the way you close today.