ROXAR RMS Software

Model Driven Interpretation

The Oil and Gas industry faces two major challenges with concern to their geomodelling workflows. The first is geologic risk assessment – the industry requires enhanced solutions for quantifying geologic risk as it moves into more complex tectonic settings and more (economically) marginal prospects. The second challenge is productivity – the industry requires solutions that allow domain experts to quickly integrate and share knowledge across the prospect lifecycle. RMSTM provides answers to these challenges by providing new tools to capture and quantify uncertainty in interpretation and integrate these measurements into modelling workflows.

Estimate Risk

All geophysical data is uncertain. In RMS, interpreters and modellers can capture that uncertainty directly while creating their interpretations. This uncertainty data can be carried through the full structural modelling workflow to aid statistical analysis of reservoir properties. Uncertainty maps can be used for a variety of purposes, for example to QC an interpretation, to determine areas or regions that need a more substantial modelling effort, or to target areas where more data might be needed.

The Agile Model

Interpreting data in RMS centers on the concept of the Agile Model. When building an interpretation, the user requires feedback from the interpretation software to be able to ensure that the interpretation is representative of the data. The Agile Model serves this purpose – it responds in real-time to interactions from the user. The interpreter may add, drag, or delete interpreted points from an interpretation and watch the AM surface respond. Agile model surfaces are generated using RMS’s proprietary structural modelling algorithms. That is, each surface generated represents a geologically consistent structural model. Because the surfaces obey geologic rules (such as onlap/truncation, fault intersection and throw), complex surfaces and geometries can be created very easily.

Model Driven Interpretation

The new Snap-to-Seismic feature allows interpreters to get the detail they need from their seismic data – without tedious clicking or extensive QC afterwards. At a click of a button, the agile model is conditioned to the seismic data via a wave-form similarity metric that gives users the ability to track characteristics of a seismic event across the domain of interest – even across faults (both normal and reverse), complex geometries, or variability in data quality. Interpretation can be performed on anything that can be visualised in RMS. We anticipate most users will use seismic data, but models can also be built using gravity inversion data, seismic velocity data, or other rock property models. The workflows for these other data types are identical to the seismic data workflow. Both 2D and 3D data can be interpreted (even simultaneously).

Explore Scenarios

Further, we introduce the concept of connecting geo-entities, giving users unprecedented control over their interpretation and modelling hypotheses. The concept links the domain of interpretation and structural modelling. Interpreted surfaces are merely a collection of data – points, fault sticks, or whatever is available. The value step in 5 the interpretation process is to associate the mapped object with a geo-entity that is geologically meaningful. For example, a set of points becomes a horizon when it is assigned a stratigraphic interpre- tation. Once interpretation items are connected to a geo-entity, they can obey geologic rules such as on-lapping, erosion, unconformity, truncation, or throw. Via the connect geo-entity selector, the interpreter can assign (reversibly) a collection of points to a geologic event. Multiple interpretation items may be connected to the same geo-entity, permitting the interpreter to explore a variety of scenarios that may be supported by the data. Horizons and faults may be interpreted in individual patches that are linked up for possible structural model configurations. Seamless uncertainty workflows allow your interpretation uncertainties to be used to risk geologic volumes. This yields a more accurate picture of probable outcomes and can be used to enhance decision making. The improved, hot-key driven user interface may result in less overall ergonomic impact. Combined with improved time-to-depth functionality that lets users change domains with the flip of a switch, RMSInterpret delivers a full, flexible interpretation workflow.

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