m16 petrophysical modeling 2007
TRANSCRIPT
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Well Correlation
Petrel Workflow Tools5 Day Introduction Course
FaultModeling
FaciesModeling
Well DesignVolume Calculation
Plotting
PillarGridding
Depth Conversion
PetrophysicalModeling
Edit of Input
Intr
o to
Pet
rel
Edit
Inpu
t Dat
a
Impo
rt d
ata
Proc
ess
Man
ager
Seismic
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Petrophysical ModelingObjectives
Discuss Different Petrophysical Modeling Techniques– Deterministic techniques– Stochastic techniques Learn How to Use Common Settings– Setting filters– Using many realizations Learn How to Use Zone Settings – Define zones Use The Different Algorithms– Sequential Gaussian Simulation– QC results Property Calculator
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Overview
Interpolation with smooth effectKriging, Moving average
Regenerate local variationSequential Gaussian Simulation SGS
Petrophysical
Deterministic
Stochastic
• If well logs are up-scaled, they can be used in Deterministic and Stochastic modeling • If no logs are available, deterministic methods cannot be used, only unconditional stochastic
methods.
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Common Settings
Two main buttons are available:• Common• Zone Settings
Define Common settings for all zones:• Use filter• Ensure that all cells get a value• Number of realizations
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Zone Settings
1. Define Zone settings for each zone:A. Press the Zones button.B. Select zone of interest from the drop-
down menu.
1A1B
2. Select proper modeling technique:A. Press the padlock button to open the
settings for the selected zoneB. Select a method from the drop-down
menu for the zone
2A
2B
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Sequential Gaussian Simulation (SGS) – Set Up
1. Property and zone selectionA. Make sure to pick the correct upscaled
property ([U] as suffix). B. Select SGS as method for the zone. 1B
1A
2. Variogram tab:A. Specify Range, Nugget and TypeB. or get a variogram from Data Analysis
2A
2B
3. Distribution tab:• Select Standard and From Upscaled logs
From distribution function
Used if no/few upscaled logs
Used if upscaled logs
3
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Sequential Gaussian Simulation (SGS) – Results
SGS is a krig-based stochastic method• Needs a variogram.• Will honor the distribution
of the input data (upscaled logs).
• Petrel will automatically do a Normal score transformation before the simulation, and will back-transform the data.
• The output is distributed in a blurry manner.
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QC Results
Filter:4) Use Zone filter5) Filter on other property values by
pressing the filter button and go to Property filter in Settings for the Properties folder.
54
QC results in a histogram:• Go to the Settings for the Property
and select Histogram tab• Check that the Histogram follows
the distribution from: 1) Raw logs
2) Upscaled cells
3) 3D grid
1-3
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Property Calculator – SW Property Example
1) Type in a simple expression. This requires:• Above Contact property from Geometrical modeling.• Function (imported or made in Petrel (SW vs. height)).
SW is a function of height above fluid contact,permeability and porosity. Two main options:
x
=
2) Load a more advanced expression (.mac/.txt file):• Toggle From file, browse and Run.
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More Petrophysical Modeling in Petrel
Property Modeling course (3 days)
• Data analysis and basics of geostatistics• Data preparation, including well correlation• Facies Modeling; sequential indicator simulation, facies transition simulation, object facies modeling (adaptive channel), interactive facies modeling• Petrophysical modeling; data analysis, porosity modeling, permeability modeling• Modeling based on seismic attributes
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EXERCISE Petrophysical Modeling