Download RMS Model Driven Interpretation Data Sheet 2014

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.
IN SUMMARY
• Tempest MORE was first commercialized in 1999 and
is used
on some
of the
world’s
largest fi
elds.
• Industry
leading
tools
for capturing
uncertainty
during
interpretation.
• Unprecedented control over scenarios and
realisations.
• Agile model helps interpreter decide where detail is
needed.
• Integrated workflow from data through structural
modelling.
Dynamically capturing uncertainty gives the geomodeller a new view of geologic risk.
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.
Uncertainty maps help interpreters quickly identify regions for closer study.
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).
P10
Innovative Snap-to-Seismic tool gets the detail you need from complex reflectors.
P50
P90
100
20
Explore Scenarios
80
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.
60
10
40
Cumulative Distribution
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
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 interpretation. Once interpretation items are connected to a geo-entity, they
can obey geologic rules such as on-lapping, erosion, unconformity,
truncation, or throw.
Relative Frequency (%)
15
5
20
5.9e7
6.0e7
6.1e7
Gross Volume
6.2e7
6.3e7
0
Measurement uncertainties in fault positions contribute to distributions of static
reservoir volumes.
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.
To learn more please visit www.roxarsoftware.com or email
us on [email protected].
Connecting geo-entities gives interpreters flexibility to explore many geological
Roxar 2014
scenarios.
ROXAR AS, GAMLE FORUSVEI 17, PO BOX 112, 4065 STAVANGER, NORWAY TELEPHONE +47 51 81 8800 FAX +47 51 81 8801 WWW.ROXAR.COM