The goal is to manage reservoir assets, coming from geologic, seismic and reservoir analyses, in order to reduce the turnaround time of results.

Grid Systems solutions provide the opportunity to integrate the data with seismic, geological and risk analysis software applications and utilities - which means that different asset teams can now work together, deepening their insight into the full business process.

In order to offer the required service quality and reduce any kind of risk, energy industries carry out continuous risk analysis of their power networks - which is a high-demanding computational process.

Nuclear Risk Analysis (using Monte Carlo simulations), for instance, and network management are very easy to integrate in a grid platform. Monte Carlo simulations are clearly divisible into many small and independent parts. These applications immediately take all the benefits of grid technology, such as scalability and fault tolerance.

Also, oil and natural gas industries, which work on molecular dynamics, commonly use in-house applications to perform computations. Even there, an InnerGrid platform with its API and bindings can achieve a seamless and straightforward integration.

Grid Systems is helping EDF Energy in Paris with its R&D cluster management and grid projects - where grid-enabled Nuclear Risk Analysis uses Monte Carlo techniques to simulate the statistical behaviour of radiation and particles.

It has also been important to virtualise computing platforms by developing a new Grid Service to integrate the Open PBS queue manager into the IG V environment.

The result includes open PBS-managed clusters, accessed by an IG V graphical interface and optimised in a full virtualised platform with hundreds of Grid resources that can be transparently exploited.