Modelado Petrofísico Petrel

Petrel Workflow Tools
5 Day Introduction Course
Well
Correlation
Seismic
Fault
Modeling
Pillar
Gridding
Depth Conversion
Edit Inpu
ut Data
Facies
Modeling
Petrophysical
Modeling
Plotting
Volume
Calculation
Well Design
Process M
Manager
Import d
data
Intro to P
Petrel
Edit of Input
Petrophysical Modeling
Objectives
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
lt
Property Calculator
Overview
•
•
If well logs
g are up-scaled,
p
, theyy can be used in Deterministic and Stochastic modelingg
If no logs are available, deterministic methods cannot be used, only unconditional stochastic
methods.
Deterministic
Interpolation with smooth effect
Kriging, Moving average
Petrophysical
p y
Stochastic
Regenerate local variation
Sequential Gaussian Simulation SGS
Common Settings
Two main buttons are available:
•
Common
•
Zone Settings
Define Common settings for all zones:
•
Use filter
•
Ensure that all cells gget a value
•
Number of realizations
Zone Settings
1. Define Zone settings for each zone:
A
A.
P
Press
the
th Zones
Z
b tt
button.
B. Select zone of interest from the dropdown menu.
1A
1B
2. Select proper modeling technique:
A. Press the padlock button to open the
settings for the selected zone
B. Select a method from the drop-down
menu for the zone
2
A
2
B
Sequential Gaussian Simulation (SGS) – Set Up
1A
11. Property and zone selection
A. Make sure to pick the correct upscaled
property ([U] as suffix).
B. Select SGS as method for the zone.
2B
1B
2. Variogram tab:
A. Specify Range, Nugget and Type
B. or get a variogram from Data Analysis
3. Distribution tab:
•
S l t Standard
Select
St d d andd From
F
Upscaled
U
l d logs
l
2A
Used if upscaled logs
Used if no/few upscaled logs
From distribution function
3
Sequential Gaussian Simulation (SGS) – Results
SGS is a krig-based
stochastic method
•
Needs a variogram.
•
Will honor
h
the
th distribution
di t ib ti
of the input data (upscaled
logs).
•
Petrel will automatically do
a Normal score
transformation before the
simulation, and will backt
transform
f
th
the ddata.
t
•
The output is distributed in
a blurry manner.
QC Results
QC results in a histogram:
•
Go to the Settings for the Property
and select Histogram tab
•
Check that the Histogram follows
th di
the
distribution
t ib ti ffrom:
1)
Raw logs
2)
Upscaled cells
3)
3D grid
Filter:
4)
Use Zone filter
5)
Filter on other property values by
pressing the filter button and go to
Property filter in Settings for the
Properties folder.
folder
1-3
4
5
Property Calculator – SW Property Example
SW is a function of height above fluid contact,
contact
permeability and porosity. Two main options:
1) Type in a simple expression
expression. This requires:
•
Above Contact property from Geometrical modeling.
•
Function (imported or made in Petrel (SW vs. height)).
x
2) Load a more advanced expression (.mac/.txt file):
•
Toggle From file, browse and Run.
=
EXERCISE
Petrophysical Modeling