
What is RNB reporting—and why is it so challenging?
Revised National Budget (RNB) reporting is one of the most demanding processes for energy companies. It requires high accuracy, consistency across assets, and the ability to handle uncertainty—often under tight deadlines.
In practice, many organizations still rely on fragmented workflows:
- Multiple spreadsheets and versions
- Manual updates across teams
- Last-minute changes just before submission
This creates a familiar pattern: weeks of preparation, followed by intense last-minute pressure. At the same time, expectations are increasing. Decision-makers need transparent, traceable, and risk-aware forecasts, not just static numbers.
pforecast improves up‑front workflows to simplify and strengthen RNB reporting
Modern forecasting solutions are designed to address the challenges by shifting from manual processes to standardized, data-driven workflows. With a solution like pForecast, Oil & Gas companies can:
- develop their production forecast’s and the approved results can be exported to support the RNB reporting process, significantly reducing time and effort
- establish a uniform workflow across assets, enabling consistent reporting and corporate roll-ups
- integrate uncertainty directly into forecasts using Monte Carlo simulations, providing low, expected, and high scenarios
- Handle last-minute changes without rebuilding models, reducing bottlenecks near deadlines
pForecast is easy to maintain, reliable to use
pForecast provides forecasting outputs that integrate into organization’s existing software ecosystems. In this way enabling a seamless digital flow into their RNB reporting processes. pForecast supports this by allowing teams to:
- Define RNB-specific profiles and project structures
- Export data aligned with regulatory formats (e.g., NPD, PRMS)
- Maintain a consolidated methodology across assets
This ensures that reporting is not only faster—but also compliant and auditable.
pForecast allows for continuous forecasting instead of last-minute stress
Instead of relying on time-consuming detailed pressure calculations, pForecast uses ready-made potential profiles that exclude PE and operational constraints. These profiles are then time-shifted to achieve similar outcomes where constraints and PE are incorporated.
This approach allows last-minute changes to be incorporated directly into the uncertainty analysis. As a result, it delivers significantly improved accuracy, compared to adjusting stochastic outputs from traditional reservoir simulation tools, like Eclipse and ResEx.
A few of the strengths of pForecast are:
- Data is continuously updated from subsurface tools and planning inputs
- Forecasts can be modified easily throughout the year
- Reporting becomes a final step — not a restart
Just as importantly, forecasting is no longer a “black box” process. Each analysis follows a structured, auditable workflow with defined status and ownership, ensuring both quality and accountability:
- Analyses are clearly tracked as “in progress”, “under review”, or “approved”
- Reviews are performed by predefined peers in your organization to ensure consistency and methodological alignment
This introduces a governance layer that supports traceability and auditability, reducing the risk of errors and ensuring that reported figures are based on quality-assured and documented inputs.
This is made possible through:
- Seamless integration with upstream data sources
- Reusable simulation models
- Continuous updates and scenario handling
- Structured workflows with built-in review and approval controls
pForecast accelerates report preparation: “3 weeks down to 3 days”
By combining:
- Standardized workflows
- Integrated uncertainty
- Continuous updates
- Centralized data and collaboration
organizations can dramatically reduce the time spent preparing for making internal and external reports, for example RNB reporting.
What previously took up to three weeks can be reduced to just a few days—while simultaneously improving:
- Transparency
- Consistency
- Uniformity
“From continuous updates to controlled approvals—ensuring forecasts are always trusted.”
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How are you working with RNB today?
Curious how working with pForecast could streamline your RNB workflow process? Get in touch for a short walk-through of this SaaS-solution.
Brief FAQ on reporting and RNB
RNB (Revised National Budget) reporting is a process where energy companies update production forecasts and financial expectations based on the latest available data and assumptions in Norway.
It often relies on manual workflows, multiple spreadsheets, and last-minute updates, making it difficult to maintain consistency and efficiency across assets.
Modern tools enable standardized workflows, continuous updates, and integrated uncertainty analysis, reducing manual work and improving accuracy.
Uncertainty analysis uses methods like Monte Carlo simulation to generate a range of possible outcomes (low, expected, high), improving decision-making under uncertainty.
Organizations can reduce forecasting cycles from several weeks to just a few days by automating workflows and centralizing data.