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Emerson announces Roxar RMS 11 reservoir characterization software

By: Emerson
23 July, 2018
Emerson announces Roxar RMS 11 reservoir characterization software
Emerson announces Roxar RMS 11 reservoir characterization software
Emerson’s Roxar RMS reservoir modeling software is a geosciences and reservoir engineering platform for seismic interpretation, well log interpretation and correlation, mapping, geomodeling, gridding and flow simulation.

July 23, 2018 -- Emerson has launched Roxar RMS 11, the latest version of its reservoir characterization software. The software includes a set of tools for interactive reservoir modeling, facies modeling and unified tools for channelized reservoirs and region definition. The suite also comes with a new plug-in technology designed to ensure that RMS 11 is placed for future web and cloud-enabled workflows. Key features of Roxar RMS 11 include:

  • A graphical user interface for the facies modeling of channelized reservoirs as well as smarter algorithms.
  • Unified and integrated concepts for describing and defining regions, geometries and attributes in structural and grid models.
  • A technology plug-in that extends RMS 11’s functionality and positions it for future web and cloud-enabled workflows; enhancements to the Roxar Application Programing Interface (API) that allows operators to integrate their own intellectual property into reservoir modeling workflows; extensions to Petrel I/O tools; and features to improve data transfer between Roxar RMS and flow simulators.

RMS 11 also includes tools to control volume fractions when modeling facies in facies associations.

Users can incorporate a combination of region geometries and attributes in modeling - for instance in map generation, volumetrics and flow-model building.

Emerson’s Roxar RMS reservoir modeling software is a geosciences and reservoir engineering platform for seismic interpretation, well log interpretation and correlation, mapping, geomodeling, gridding and flow simulation. The software enables operators to integrate their data in one place and capture and propagate uncertainties across their workflows.

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