Petrophysical Modelling
An accurate description of petrophysical properties, such as porosity
and permeability, and their spatial variability is essential to
understanding the fluid distribution and flow properties of a
reservoir. RMSTM offers a full suite of petrophysical modelling tools
from 2D interpolation to 3D stochastic modelling conditioned to
wells, facies and seismic data. Models can be updated globally or
locally as new data is acquired, keeping the models accurate and the
decisions focused.
IN SUMMARY
• Complex models can be produced very easily by
integrating a variety of geological trends.
• The model can be conditioned to seismic data.
• Wide range of data transformations allow you to select the
best for your data.
• Full suite of interpolation, kriging and simulation
algorithm.
• Seamless links to volumetric calculations, connectivity
analysis, full well planning functionality and reservoir
simulation carry you smoothly through the workflow.
• Full model updating allows you to keep your model
continuously correct.
• Handles very large numbers of wells quickly and efficiently.
Fast, Simple Petrophysical Modelling
Petrophysical modelling should always be based on combining all
available data, especially well and seismic, with the geological
interpretation of the reservoir. To achieve this, RMS provides fully
integrated data analysis tools and a toolbox of easy-to-use geological
trends. These trends are used to incorporate knowledge of the
depositional environments and diagenetic processes directly in the
petrophysical model. The petrophysical modelling tools in RMS
include standard distance weighting methods, a full suite of kriging
methods and stochastic simulation based on a Fast Fourier Transform
(FFT) algorithm which ensures accuracy and high speed
performance. The kriging methods include simple, ordinary,
universal, Bayesian and co-located co-kriging. The kriging
algorithms have been optimised to handle giant fields with
thousands of wells.
Integrating Geological Trends
The petrophysical properties of a reservoir are strongly controlled by
depositional facies and a variety of post-depositional diagenetic
processes. RMS has an extensive and easy-to-use trend toolbox that
can be used to incorporate a wide variety of trends in the
petrophysical model including:
• large-scale compactional/depositional processes
• intrabody trends
- upwards fining or coarsening
- proximal-to-distal
- axis-to-margin
• lateral trends
• facies related
• skewed distributions including normal score
• cloud transform
Petrophysical Modelling
Modelling Giant Fields
Making Use of Seismic Data
The 3D petrophysical modelling tools in RMS include unique, fast and
memory efficient kriging and simulation algorithms that allow you to
model giant reservoirs with millions of cells and thousands of wells.
The figure below illustrates a 3D petrophysical model generated for a
mature giant oilfield with 25 million cells and 1000 wells. This model
takes only a few minutes to run.
With the increasing availability and quality of seismic data, it is
paramount to incorporate this data in the reservoir model. RMS
provides a selection of methods which allows seismic data to be fully
utilised in petrophysical modelling, including the SedSeis module,
which allows you to blend the seismic data and interpretations with
the stochastic modelling techniques to close the resolution gap
between the two methods. The figure below illustrates a porosity
model which has been generated using a co-simulation technique
with well data and a seismic acoustic impedance cube as input.
Petrophysics at Your Fingertips
To learn more please visit www.roxarsoftware.com or email
us on [email protected].
Roxar 2014
The RMS portfolio includes the benchmark industry tools for
petrophysical modelling. These tools allow you to integrate all
available data when building petrophysical models of even the
largest and most complex reservoirs. The seamless integration of the
petrophysical modelling tools in RMS allows direct access to
volumetric calculations, upscaling tools, well planning tools with
mechanical constraints and a fully integrated flow simulator. It also
allows you to make full use of the workflow management facilities to
automate the model building and updating process, to test multiple
scenarios and quantify uncertainty.
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