Drilling program cost oversight
Commercial teams cannot explain cost changes when activity logs, supplier invoices, and budgets are disconnected.
The challenge behind the workflow.
Commercial teams cannot explain cost changes when activity logs, supplier invoices, and budgets are disconnected.
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
- Approved activity records
- Supplier invoices
- Program budgets
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
Map cost codes and connect invoiced items to documented program activities.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Compare actuals and commitments with approved budgets and isolate coding exceptions.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish a cost review dashboard with supporting invoice and activity references.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A program cost oversight dashboard
Make the next run easier.
A shared cost model reduces manual spreadsheet consolidation across suppliers.
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 uncoded or disputed costs
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Authorized project owners review variances before changing commercial commitments.
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.