A new operator within the Oil & Gas industry has recently initiated a structured evaluation of pForecast, marking another step in the growing industry interest in modern, uncertainty-based forecasting.
Rather than opting for a basic trial, the company has chosen a full-featured, paid test period, giving their team access to the most advanced capabilities available in the solution. Over the coming month, they will explore how pForecast can support more robust, transparent, and efficient forecasting workflows across their assets.
- pForecast is a production forecasting software trusted by the three largest operators on the NSC.
pForecast is a forecasting solution that integrates data, uncertainty modelling, and scenario analysis into one unified workflow.
From trial to real-world forecasting workflows
This evaluation of pForecast is not just about testing functionality — it is about understanding how a unified forecasting environment can replace fragmented workflows.
With pForecast, production forecasts are no longer isolated exercises. The solution enables teams to combine subsurface data, drilling schedules, and operational constraints into a single, continuously updated forecasting framework, where uncertainty is treated as a core component rather than an afterthought.
By leveraging stochastic simulations and integrated data workflows, users can generate a full range of possible outcomes — from low to high scenarios — providing a stronger basis for both planning and decision-making.
What does a full pForecast evaluation include?
During the test period, the operator will work directly with advanced functionality such as:
- Integrated uncertainty modelling using Monte Carlo simulations
- Corporate-level aggregation and roll-up of asset forecasts
- Standardized workflows across teams and disciplines
- Rapid scenario testing and last-minute forecast adjustments
- Export and import of data between teams and assets
This hands-on approach allows the evaluation team to move beyond theoretical benefits and assess real operational value in a live environment.
Why operators are choosing full-feature testing
Choosing a paid test version reflects a broader shift in the industry: companies are increasingly looking for realistic, high-impact evaluations rather than limited trials.
By working with the full capabilities of pForecast from day one, operators can better assess how digitalized forecasting can improve collaboration, reduce manual effort, and increase confidence in reported figures.
As more companies take this approach, the focus is clearly moving toward solutions that not only deliver accurate forecasts, but also streamline the entire forecasting process from data input to decision support.
Interested in exploring and evaluating pForecast in your organization?
Get in touch to learn more about available evaluation options and how to get started.