Production allocation reconciliation
Measured production and allocated volumes disagree across wells, facilities, and reporting systems.
The challenge behind the workflow.
Measured production and allocated volumes disagree across wells, facilities, and reporting systems.
Connect asset, production, maintenance, environmental, and commercial information across field and enterprise systems. Keep measurement context and engineering review attached to analysis, especially when sources use different units and reporting intervals.
Data to bring together
- Meter readings
- Allocation records
- Facility reference data
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Normalize units, time intervals, and asset identifiers while retaining measurement quality flags.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Reconcile measured and allocated volumes and isolate unexplained differences.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish an allocation review pack with source timestamps and unresolved items.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A production allocation review
Make the next run easier.
Reusable unit and asset mappings reduce repeated reconciliation work.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Time resolving allocation discrepancies
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Engineering and accounting owners approve allocation methods and adjustments.
AI with professional judgment.
Use AI to summarize operational evidence and draft investigation notes. Engineering and safety decisions require qualified review and remain outside autonomous control.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.