pForecast SaaS solution developed by Powersim Software
pForecast performs full-lifetime simulations of production and injection forecasts, drawing on historical data, drilling and intervention schedules, and capacity constraints. The result is a transparent, traceable, and agile forecasting process — designed to support the evolving digital transformation of the energy industry.
What sets pForecast apart is its integrated approach to uncertainty management. Rather than treating uncertainty as an afterthought, pForecast embeds it directly into the forecasting workflow. Using Monte Carlo simulations, it provides a clear view of low, expected, and high outcomes — giving decision-makers a complete, risk-aware understanding of their production potential.
What is pForecast?
With pForecast from Powersim Software, you get a sophisticated, yet user-friendly tool that provides the insight and precision needed to navigate forecasting challenges and opportunities.
Take control of your future and let pForecast be your navigation tool for success..
- Seamless Integration: pForecast uses input data from subsurface tools, such as Eclipse and ResX, ensuring a smooth transition with automatic updates at regular intervals.
- Uniform Workflow: Facilitating a standardized way of working, pForecast enables comprehensive analysis across your assets, providing management with “Corporate roll-up” reports and analysis.
- Flexibility for Last-Minute Changes: Adaptability is key. pForecast allows for last-minute adjustments, saving you valuable time in the lead-up to reporting deadlines.
- Automated Efficiency: Experience a significant reduction in time and effort when reporting for the yearly RNB, thanks to the semi-automated features of pForecast.
Generalized production forecasting workflow
pForecast uses input data from subsurface tools, such as Eclipse, Network models and ResX, and performs a full lifetime simulation of the production and injection forecast. With pForecast users can assign uncertainties to input data and do stochastic analyses by running Monte Carlo simulations.
The foundation for business optimization in Exploration & Production companies
Subsurface data take in well potentials and how much each well can deliver
Drilling data consists of drilling schedules and rig availability
Facility operations comprise production efficiencies, planned shut-ins and capacity constraints
Since pForecast is uncertainty-centric, uncertainty can be assigned to input data
With pForecast you can run both deterministic and stochastic analysis