IRMA applies prescriptive analytics, data exploration, machine learning and visualization techniques to enable E&P companies to utilize ensembles of models to explore the subsurface, identifying new opportunities and associated risks.
IRMA automatically ingests and manages ensemble data from ResX and from other sources (OSDU-compatible data sources, Petrel®, Cognite Data Fusion™, legacy text files) and coherently manages each ensemble as an integrated model of the reservoir under uncertainty.
The power of ensemble-based reservoir modelling is well-known in the industry. Using ResX, companies are able to compress by 90% or more the time needed to go from subsurface data to fully conditioned ensembles of reservoir models that simultaneously assimilate and honor all available static and dynamic reservoir data.
However, the most popular geo-modelling and reservoir engineering software packages have not been designed with ensembles in mind and advanced tools were needed to handle ensembles as cohesive units, extracting the full benefit of the aggregated statistics of the models and providing specific ensemble-oriented analytics. IRMA is the solution.
Resoptima is the world leader in ensemble-based reservoir modelling with ResX, the only commercially available reservoir modelling tool capable of assimilating all static and dynamic reservoir data simultaneously in a unified, uncertainty-centric step, with no loss of data or information.
After several years of successful ResX deployments, Resoptima is now launching IRMA, an integrated environment for ensemble visualization and analytics, decision support and risk mitigation.
IRMA handles, visualizes and explores ensembles of reservoir models as if they represented a single model of the reservoir under uncertainty. With IRMA, the tasks of forecasting, optimizing, exploring opportunities, improving the understanding of the reservoir and developing insights for improving the models are made easy.
Powered by the most advanced algorithms for ensemble-based modelling and analytics, including graph networks, stochastic optimization and other ML methods, ResX and IRMA deliver speed, control and power to look at all available data as a whole, immediately assessing how modelling choices and data interpretation affect the resulting ensembles of models and enabling teams to iterate quickly and continuously learn and improve.