Transcript A 2-day course in using p:IGI

Introduction to p:IGI-3
Integrated Geochemical Interpretation Ltd.
Hallsannery, Bideford, Devon EX39 5HE, UK
What does p:IGI do ?
Database for compiling
and validating
geochemical data
Elegant graphing
capability with symbols
by colour & shape/size
to aid interpretation
Supported by extensive
geochemical help
Mapping facility for
visualization of data &
statistics
Ability to easily export
tabulated data and
graphics to other
applications, for
efficient and consistent
presentations & reports
Layout of the p:IGI screen
Conventional
Windows menu
and screen layout
Toolbars for most
common actions
Project workspace
to compile & view
tables & graphs
Contents window
with tabs for
graphs, tables etc.
Information line
Drawing options on
lower toolbar
Data pages
Drag & drop page
name onto workspace
P:IGI contains several
pre-defined pages for
geochemical data
(Default Pages)
User-defined pages
Columns accept text,
or numerical data
Allows the user to
define the contents
of each column
Five User Defined
pages in addition to
the Default Pages
One with 100
columns, four each
with 50 columns
Can also define
equations for ratios
and parameters
Save as a template for
consistent content
Column types
Text columns (pick
lists available)
Numeric columns
Equation columns
Calculating ratios
Contents of equation
columns need to be
calculated
Changing units
Reduce to 2
decimal places
Convert to feet
from meters
Graphs
• A number of different graph types:
100
HI (mg/gTOC)
T-max
0 (°C)
100
440
430
80
10
90
0
12
420
0 410
Mixed planktonic-bacterial
900
Mixed planktonic-land plant
Typical surface intercept
Land plant - Coal Measures
100
70
70
60
60
2000
60
2000
3050
St28Iso (%)
3000
3000
40
40
6100
30
20
1010
5000
5000
90
20
2
0.0 - 1.0
-32.0 - -30.0
TOC
Good
30
(2-4%TOC)
- -28.0
- 2.0
1.0
-30.0
60
Lithologies
- -27.0
-28.0
2.0 - 4.0
(kg/t)
S2Sandstone
- -26.0
-27.0
Type
- 8.0
4.0Very
Sand/mudst
Sample
- 2.0 - -24.0
0.0
TOC
Good
-26.0
Siltstone
Cuttings
12.0
8.0
Mudstone
pCuttings
(4-12%TOC)
- 5.0 - -22.0
2.0
-24.0
Shale
Core
12.0 - 35.0
- 15.0- -20.0
5.0
-22.0
Coal
SWC
40 40
St29Iso (%)
20
50
00 0
0
00 0
20
8 10 20 30
40
10
40 50
60
35.0 --99.0
Chalk
DST
16
60 70
- 30.0-10.0
15.0-20.0
20
80 90
Marl
RFT
24
100
data
No
- 50.0
30.0
Other
30
32
70
(Ma)
Age(Ma)
Strat-Age
Strat
500.0
50.0
40
40
64.0
0.0--64.0
0.0
48
99.0
65.0--99.0
65.0
Symbol
Default
50
80
143.0
100.0--143.0
100.0
56
162.0
144.0--162.0
144.0
Lithologies
60
64
187.0
163.0--187.0
163.0
Sandstone
204.0
--204.0
Lithologies
188.0
188.0
Siltstone
70
90
72
244.0
--244.0
Sandstone
205.0
205.0
Sand/mudst
80
80
289.0
--289.0
Siltstone
245.0
245.0
Mudstone
322.0
322.0
Sand/mudst
290.0
290.0
Shale
88
90
100
353.0
--353.0
Mudstone
323.0
323.0
Coal
12
0
10
20
8
30
50 6 40
7096 4 60
416.0
--416.0
Shale
354.0
354.0
Chalk
100
3
30
4000
4000
20
40
(1-2%TOC)
Del13C Sats
%TOC (size)
-39.0 - -32.0
20
50
40 60
80
100
80
$ + pre-Cambrian oils
6000
6000
450
80
Diatoms & ?bryophytes
# algae highly variable
000
0
100
2 = C27 diasteranes (%)
20S/20R (%)
(mg/gTOC)
OI sterane
3 = C29
Poor
0 4 = C27 terpane Ts/Tm (%)300
460C29Ts/C29Tm (%) (0-1%TOC)
5 = C29 terpane
6 = C21 + C22/ other Mono-Aromatic Steroids (%)
Fair
(%)
7 = C20 + C21 /other Tri-aromatic steroids
60 (Tmax
20= 435-455°C)
80
Land plant - Tertiary coals $
1000
1000
OIL WINDOW
7
80
1000
1
nC12
nC13
nC14
nC15
nC16
nC17
nC18
nC19
nC20
nC21
nC22
nC23
nC24
nC25
nC26
nC27
nC28
nC29
nC30
nC31
nC32
nC33
nC34
nC35
TOC (% )
0 Plankton/Algal #
Base-Depth
(m)
Base-Depth
(m)
Peak
Frequency
value
– XY plot
– Histogram
– Triangular plot
– Multiparameter
– Star plot
– Profiles
– XYZ (3-D) plot
Type 1 = C29 iso-/regular sterane (%)
Wt%)
Interpretation
(TOC
Depth
- Kerogen
profile
vs
with
0-12
nC35biomarkers
- Tmax
related
Carbon
Numbers
Screening
nC12
Rock
Organic
Rock-Eval
Maturity
TotalCarbon
Source
Sterane
60
100
280
5
(Wt%)
TOC(%)
St27Iso
4
• Created by user, or from “Autograph”
templates
600.0
--600.0
Chalk
417.0
417.0
Marl
strat
Marl
No strat
No
Other
Autographs
Menus of common graphs,
mostly with overlays for
interpretation
Key to
interpretational
overlay
Overlays can
be made and
saved for any
graphs
Visual browser
Drag box around
samples of interest
Box contains plotted
data
All data for this
sample can be seen
Visual browser allows
the data for individual
samples to be examined
Can jump between
samples in selection
Graph overlays
pIGI has pre-defined
Autographs with data
overlays to help
interpretation
Users can create their
own overlays to meet
their own needs
Overlays can be
modified using the
tools on this toolbar
Palettes – Colours & symbols
pIGI can use different
colours and symbols
to aid interpretation
Users can make Create
their a graph
Create
a new
(e.g.
XY plot)
own graphs
from
E.g.
to
show
colour palette
Colour palettes Graph menu
lithologies
Symbol palettes
Palettes – Colours & symbols
Allowing more
information to be
drawn from the data
Create a new
symbol palette
E.g. to show
organic richness
Data input to p:IGI
p:IGI files can be populated in various ways
– Manual entry (typing, autofill, cut & paste)
– Importing from an existing p:IGI file
– Importing from an ASCII file (.csv or .txt)
Manual input – Pick lists for text
Able to select from existing
entries in this column, or
pre-defined text strings
Right mouse click
Manual data input
Open application
(e.g. Excel)
Open a new project
workspace
Copy & paste data
Automatic data import
Select file to import
Able to import data
from other applications
(e.g. Excel)
• Comma-separated (.csv)
• Other formats
Link data in source file
to specific columns in
destination p:IGI file
Save import settings as
a template for
automatic import of
other similar files
Merging p:IGI-3 files
Test merging of files
Example: Additional
data obtained later
needs to be compiled
Link data in both files to
match identical samples
Check results before
actually merging files
Sample sets
Typically view the
whole data set
i.e. “All samples”
Shows only a subset
of samples
But in large data
sets trends for
specific groups of
samples can be
obscured
In this case a single
ammonite zone
Sample sets are
easily defined
•
•
•
•
By text (e.g. well
name, ammonite
zone)
By numeric
range (e.g. TOC
content >12%)
From graphs
From tables
Drag & drop sample
set onto graph
Sample sets are
easily defined by text
e.g. Ammonite zone
Created a subset of
samples for each
ammonite zone
Spreadsheet settings
Can edit an
existing
spreadsheet
Default or
custom pages
Change
colours…
…and
fonts
Various other aspects of appearance,
and “automatic” data validation
Data and window overlays
2 types of overlay…
Window overlay
Data overlay
Saving template for Autograph
Save in p:IGI
settings
ResourceSave
folder
as a template
(Autographs)
Additional p:IGI features
Peak Measure
Simple statistics
Background Data
Maps
Rules and RuleSets
Well Manager
PCA Module
PeakMeasure
Mark the top
of each peak
You can draw a baseline
Statistics
Easily generate
simple statistics
from graphs
Breakdown by
symbol colour
(lithostratigraphy)
in this case
Statistics can
be copied out
by clipboard
Background Data
Background Data:
Attach another
data set in the
background
Attach a different
data set for
comparison:
p:IGI-3 is provided
with a global data
set from published
work
General underlying
trend seen in
“World Dataset”
Showing data on maps
Although not a mapping
package, p:IGI has a range of
maps on which to show data
• Additional maps can be defined by the
user
Statistics or data can be shown
Display a map
using Map button
Can display statistics
or data for individual
sites
Here data
(Ro%) are
Statistics:
shown
both
Mean Ro
in by
wellcircle
(green)
andmean
colourRo (red)
vs.size
overall
Rules & rule sets
• Rules can be defined for consistent
interpretation of data
Combine them to make
rule set for interpretation
Output of the rule is
automatically entered
Define individual
rules of rule setin the spreadsheet
E.g. All samples with HI > 250 and S2 > 15 are
here classed as “rich oil-prone source rocks”
Well Manager
Stratigraphy
data held here
Well Manager allows well
information including
stratigraphy, to be
imported into p:IGI
Populate with wells,
each with information
Principal Components Analysis
Replace null cells
and zero values
Copy and paste block
of data from p:IGI
Options to
normalise data
Results
Option
to of PCA: Scores,
loadings, eigenvalues
autoscale
Option to centre
Scores and loadings
around the mean
plotsPCA
can be made
Run
Available support
• Inbuilt help menus (software & geochemical)
• Documentation (in pIGI_3/Documentation folder)
–
–
–
–
–
pIGI_3 – Software Manual
pIGI_3 – Geochemical Manual
pIGI_3 – Getting Started
pIGI_3 – World Data References
ReadMe
• IGI website and Forum
– http://www.igiltd.com/pigi3.htm
– http://www.igiltd.com/Forum/
• Contact IGI
– [email protected]