Resoptima Launches IRMA - Making Decisions With Ensembles of Reservoir Models

An integrated family of digital applications for visualizing, analyzing, exploring and driving value from ensembles of reservoir models

Ensemble-based modelling

Resoptima, the global leader in ensemble-based solutions for uncertainty-centric reservoir modelling and data conditioning, announced today the availability of IRMA (Integrated Reservoir Management and Analytics), an integrated environment for ensemble visualization and analytics, decision support and risk mitigation.

Developed in close cooperation with industry partners, IRMA explores ensembles of reservoir models as cohesive units, not collections of individual cases. This means that IRMA handles the ensembles as if they represented a single model of the reservoir under uncertainty. IRMA simplifies the tasks of forecasting, optimizing, exploring opportunities, improving the understanding of the reservoir and developing insights for refining the models.

Powered by the most advanced algorithms for ensemble-based analytics

IRMA applies prescriptive analytics, machine learning and visualization techniques in order to explore the subsurface and identify new opportunities and associated risks. IRMA automatically ingests and manages ensemble data from ResX and from other data sources, managing each ensemble as an integrated model of the reservoir.

“The power of ensemble-based reservoir modelling is well-known in the industry,” said Atila Mellilo, CEO, Resoptima. “Using our flagship product ResX, our clients are able to compress by 90% or more the time needed to go from subsurface data to fully conditioned ensembles of reservoir models that assimilate and honor all available static and dynamic reservoir data.

“However, the most popular reservoir modelling 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 aggregated statistics and providing specific ensemble-oriented analytics. That is why we built IRMA,” explained Mellilo.

Open, microservice-oriented systems architecture

IRMA is an open application based on a microservice-oriented architecture. The microservices can run on all types of cloud-based architectures (open, private, hybrid) as well as on-premises. The services connect to data sources via open APIs and are accessed by users through a modern web-based interface.

Seamless integration with ResX for closed-loop, continuous learning

IRMA integrates seamlessly with ResX, Resoptima’s flagship ensemble-based geo-modelling and data conditioning product, which has been trusted by asset teams around the world for rapid, uncertainty-centric reservoir modelling and data conditioning.

ResX and IRMA deliver an end-to-end integrated and automated workflow that quickly closes the loop between input data and simulation models and provides analytics for insights and decision support.

IRMA Fact Sheet

A fact sheet containing more information on IRMA: ​www.resoptima.com/IRMA

About Resoptima

Founded in 2010 in Norway, Resoptima is an independent technology company committed to driving value for the upstream oil & gas industry through effective reservoir management software solutions and services. With a focus on helping to address key industry challenges around subsurface uncertainty, Resoptima has offices in Oslo, Stavanger, London, Houston and Kuala Lumpur, providing solutions to all major oil regions worldwide.

For more information, visit www.resoptima.com.

Source: Resoptima


Categories: Energy

Tags: ensemble-based modelling, reservoir, resoptima, subsurface modelling


About Resoptima AS

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Resoptima is an independent technology company committed to driving value for the upstream oil and gas industry through effective reservoir management software solutions and services.

Resoptima AS
Kirkegata 17 (N-0153)
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Norway