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TRANSFORMING
ASSET
SIMULATION

WITH SIMULATION RUNS TAKING DAYS AND REQUIRING COSTLY IT INFRASTRUCTURE, TRADITIONAL ON-PREMISE SOFTWARE IS FAST BECOMING OBSOLETE.



Full-Scale Asset Simulation is the industry's first cloud-native, integrated asset modeling application, built from the ground up using a leading simulation software, Nexus®. This allows you to efficiently run advanced reservoir simulations in the cloud—leveraging the “elastic” capability for limitless scalability, computing, modeling, and data storage. It also provides the accuracy and model fidelity you need for complex reservoir studies to optimize field development and operations.

The ability to simultaneously model multiple subsurface reservoir systems with surface facilities in a tightly coupled solution environment is at your fingertips, enabling you to arrive at informed decisions, faster. The open architecture of DecisionSpace® 365 seamlessly integrates with Landmark and third-party tools for a complete, end-to-end workflow that supports your creativity to innovate, collaborate, and drive your digital transformation objectives.



SEE IT IN ACTION

The only simulation software that can model oil and gas production from pore space, through surface facilities, to the point of sale

Regardless of scale, you can run your complex, simulation models in hours rather than days—reducing the run time by up to 80 percent, and minimizing the use of expensive IT infrastructure.

Customized and automated simulation workflows free you up, so you can add more value by focusing on what matters most—doing your core job of assessing and interpreting simulation results.

Streamline collaboration through a central repository that helps you manage real-time and historical knowledge across regions, track model changes, search and query categorized information, and prevent data loss.

Being able to access your data and associated simulations 24/7 keeps you connected and equipped to deal with all challenges, big and small, as soon as they occur—keeping geographically dispersed teams in sync while working on the same model or project.


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