Integrated Production Modeling
Integrated Production Modeling is here. Aucerna Previso lets your teams efficiently model the entire integrated 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.
From reservoir to market, operators get a comprehensive, gas production forecasting and modeling solution. 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.
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 is useful to evaluate the influence of parameter uncertainty on the overall deliverability of the system and obtain a probabilistic estimate on overall production recovery.
Aucerna announced in February 2017 that it has successfully completed a Service Organization Controls (SOC) 2 Audit Type II examination for their enersight Petroleum Planning & Economics Software as a Service System.
Aucerna completed the SOC 2 Type I examination for enersight software in January 2016.