Emerson Process Management has announced the latest version of its Roxar reservoir modelling software, Roxar RMS™. The new version, RMS 2013.1, includes enhanced structural modelling, uncertainty management and well targeting tools that acknowledge realistic uncertainties in the data and improve volumetric sensitivities which will, therefore, will lead to greater operator confidence in reservoir economics, improved decision-making and a more productive workflow. This will make it faster and easier for geo-modellers to build geological scenarios, investigate the full effects of structural uncertainty and maximise the value of their reservoir assets.
Increased confidence for reservoir models
“Too often in the past reservoir modellers have had to resign themselves to using best case estimates of faults and horizons, with the inherent uncertainty in these interpretations often neglected and thereby underestimating the actual uncertainty in reservoir volumes,” said Kjetil Fagervik, Managing Director of Emerson’s Roxar Software Solutions. He continued: “With our new version of Roxar RMS and our tightly integrated structural modelling and gridding tools, users will be able to quantify uncertainty more effectively and increase confidence when it comes to crucial decisions on where to drill, what production strategies to adopt, and how to maximise recovery.”
As part of the enhancements, RMS 2013.1 sees fault uncertainty tools further integrated with structural modelling and 3D gridding which enables users to build fault uncertainty models in full and investigate a wide variety of scenarios corresponding to the uncertainty in the input data. Additionally, horizon uncertainty modelling is significantly enhanced, allowing users to create horizons and zones based on uncertainty data and information derived from well picks, velocities, seismic travel times and isochores. Uncertainty modelling has also been extended with new parameters added, such as the modelling of fault sealing effects and fractures.
Improved reservoir management decision-making
Moreover, reservoir management decision-making is improved with RMS 2013.1 through improved well targeting and a new Adjust to Wells job that supports the calculation of residuals between the grid and well picks and can adjust the grid to exactly match the well picks. Also included is an integrated isochore modelling tool that provides users with full quality control over isochore input data and a predictive analytics tool for identifying sweet spots within unconventional fields.
The focus on the geophysical domain sees further enhancements to the new Model-Driven Interpretation (MDI) tools, first released in RMS 2013 with improvements to MDI and velocity modelling through new tools for QC-ing the velocity model, providing input for horizon uncertainty modelling, and for well-ties. Finally, Roxar RMS 2013.1 comes with improved workflow efficiencies and performance through multi-threading (the ability for computing to take place in parallel), SEG-Y importing and RMS Data Explorer that allows users to manipulate large amounts of data with advances in well administration and fault grouping.
Kjetil Fagervik concludes: “When it comes to strengthening operator confidence in their reservoirs’ economics, improving decision-making and increasing workflow productivities and efficiencies, Roxar RMS is changing the reservoir modelling landscape. RMS 2013.1 will be the first of a number of significant modelling advances over the coming months.”
Adapted from press release by Cecilia Rehn
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