What is Previso
Aucerna Previso is next-generation, integrated production modeling software that lets your teams efficiently model the entire extraction, production, and distribution system from multiple reservoirs, wells, subsea pipelines, compressors, and separators, to the market.
It very quickly and accurately history matches, forecasts production profiles, and manages subsurface uncertainty quantification by generating the vast numbers of scenarios required for short, medium and long-term production planning.
How does Previso work?
From reservoir to market, Previso delivers comprehensive, gas production forecasting and modeling. The software’s forecasts are ‘market-driven’, and production is tracked on a component basis and back-allocated through the processing plants, pipelines, compressors, wells and finally each reservoir.
Gas production can be constrained, and hydrocarbon liquids optimized based on multiple and complex market demands. The production constraints, prioritization, scheduling and event triggering can be as simple or complex as required, such as specifying a minimum, maximum or a specific range of:
- Any product stream demand, such as the mole fraction of any gas component or combination of gas components (e.g. Raw Gas, LPG, LNG, mass rate C4-);
- Specific heating value or mass rate;
- Liquid density;
- Mole fraction of any inert gases or contaminants.
Benefits
Reliable, Fast, And Efficient
Previso includes specialized optimization algorithms that rely on smart block matrix building for facilitating linear programming, which results in very rapid solution convergence.
Previso is fast. Complex production systems with scores of wells and reservoirs can be solved in minutes rather than hours, freeing up time to enhance other areas of the value chain, including exploration of production optimization strategies, which was simply not viable when case resolution took days.
Probabilistic Scenario Modelling
Users define scenarios by applying a probabilistic density function (PDF) to most input parameters. Previso uses Sobol sampling to generate a specified number of scenarios based on the applied PDF. This mode is used to perform a probabilistic analysis on the base model which are useful to evaluate the influence of parameter uncertainty on the overall deliverability of the system and obtain a probabilistic estimate (e.g. P10, P50, and P90) on the overall production recovery.
Reporting Tools
Results can be viewed as reports or as plots with a series of simple and intuitive templates. The Hierarchical Data Format (HDF5) reports may be viewed directly from the graphical user interface (GUI) or from the menu bar. Filters can be applied to meet the specific requirements and an option to ‘View in Excel’ can be used to export results directly. The ‘Plot’ option shows high resolution results graphically, with plots suitable for export into reports or direct printing.
Scenario Manager
The Scenario Manager is able to generate and run a number of scenarios, which are versions of the base case model. One or more input parameters can be modified to evaluate the impact of a node on the entire system such as changes in market demand, pressure constraints, event triggers, and priorities.
