Petroleum Engineering features of the pForecast solution
Visualize relationships across the company structure.
Visualize relationships across the company structure.
pForecast brings clarity to complexity with interactive structure maps integrated throughout your workflow:
- Assets: Instantly see all entities and their relationships from an intuitive, visual perspective.
- Forecasts: The structure graph/map displays the entities of the forecast and their relationships, along with entities from the parent asset.
- Scenarios: View the entities involved in the scenario and their relationships.
These dynamic maps make it easier, faster, and smarter to navigate complex relationships, helping you quickly understand and explain your model.
Production profiles
pForecast performs both deterministic and stochastic analyses and generates unbiased production forecasts.
In pForecast, the user can choose between yearly or monthly plot granularity. It is also possible to present both stream day rates, assuming 100 percent uptime, and calendar day rates accounting for planned and unplanned downtime. It is also worth mentioning that the user can run between 10 to 2000 simulations and derive production distributions for different scenarios. Additionally, using pForecast, the user can easily generate other profiles, such as fuel and flare, as well as gross and net sales, in addition to production and injection profiles.
Production Efficiency
Normally, the uptime for the production facilities is close to 100%. In pForecast, in addition to most likely values for production efficiencies (PE), it is possible to provide upside and downside cases. Furthermore, planned shutdowns can also be considered. For instance, in case of scheduled shutdowns due to facility maintenance, turnarounds (TAR) can be defined. It is possible to assign uncertainties both to the start date and the duration of these scheduled shut-ins.
Mapping uncertainties in drilling Schedules via Gantt chart
Exploration and production companies face uncertainties related to drilling, which must be taken into account when forecasting production. In response to this need, pForecast considers the uncertainties involved in drilling schedules and rig availability. The software can automatically generate Gantt charts for drilling schedules, providing users with a clear visualization of how uncertainty is propagated over drilling targets. This feature enables companies to make more informed decisions about production forecasting and resource allocation.
Capacity constraints
pForecast allows for the definition of capacity constraints in a forecast, with each constraint specifying maximum rates for production or injection, along with regularity factors for injection. Each constraint remains valid from a specified point in time until a new constraint is activated. Additionally, every constraint is linked to a cluster in the hierarchical capacity cluster structure defined at the asset level, enabling efficient constraint management.
Cut-off calculations
pForecast offers the flexibility to define production cut-off scenarios based on a specific volume, rate, or time. Additionally, users can specify a cut-off when a particular forecast well starts drilling. These cut-off calculations can be used independently or in combination with other cut-off options to provide a customized approach to forecasting and optimization.
Scenario comparison
In pForecast, creating a scenario provides the user with the opportunity to visualize and analyze the resulting data. Furthermore, the user can run two distinct scenarios simultaneously, allowing for a comparison between the two.
Gas Lift
Within the pForecast software, users have the ability to define gas lift curve sets, which are composed of curves that establish the correlation between the fraction of gas lift potential and the fraction of production potential for specific water cuts. These gas lift curves play a crucial role in constraint calculations that involve gas lift operations.
Voidage management
Within pForecast, Voidage groups serve as a crucial component for modeling and determining the required injection volumes. These groups play a significant role in accurately representing the complex behavior of reservoirs and optimizing injection operations.
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