Also known as Optimal Facies Cycle Identification
Model type Tool
Model part of larger framework
Note on status model
Date note status model
Incorporated models or components:
Spatial dimensions 1D
Spatial extent Global
Model domain Terrestrial, Coastal, Marine
One-line model description A numerical method to analyse a vertical succession of strata and identify the most cyclical arrangement of constituent facies
Extended model description A numerical method to analyse a vertical succession of strata and identify the most cyclical arrangement of constituent facies using an optimised transition probability matrix approach

cyclicity, strata, Markov,

Name Peter Burgess
Type of contact Model developer
Institute / Organization University of Liverpool
Postal address 1
Postal address 2
Town / City Liverpool
Postal code L69
Country United Kingdom
Email address

Supported platforms
Unix, Linux, Mac OS, Windows
Other platform
Programming language


Other program language
Code optimized Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development 2015
Does model development still take place? Yes
If above answer is no, provide end year model development
Code development status Only maintenance
When did you indicate the 'code development status'? 2020
Model availability As code
Source code availability
(Or provide future intension)
Through CSDMS repository
Source web address
Source csdms web address
Program license type GPL v2
Program license type other
Memory requirements
Typical run time Seconds for fewer than 10 facies classes, a few hours or longer for more than 12 facies classes

Describe input parameters Two text files are required as input for analysis of each vertical succession of strata in the following formats.

Vertical thickness and facies succession: <unit thickness (m)> <facies code (integer)> <unit thickness (m)> <facies code (integer)> ... <unit thickness (m)> <facies code (integer)> EOF

e.g. 0.61 9 0.05 5 0.52 1 ... 1.21 3

Facies codes, colour coding and names: <Facies code 1 (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> <Facies code 2 (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> ... <Facies code n (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)>

e.g. 1 0.55 0.32 0 clay 2 1 0.65 0 silt 3 0.93 0.91 0.8 fineSST 4 1 0.95 0.71 medSST 5 0.81 0.71 0.23 crsSST

Input format ASCII
Other input format
Describe output parameters Outputs are plots of the vertical succession input along with a series of transition probability matrices and facies orders indicating the more and less ordered arrangements of facies
Output format ASCII
Other output format
Pre-processing software needed? No
Describe pre-processing software
Post-processing software needed? No
Describe post-processing software
Visualization software needed? No
If above answer is yes
Other visualization software

Describe processes represented by the model None, the module analyses strata produced by all depositional processes
Describe key physical parameters and equations
Describe length scale and resolution constraints
Describe time scale and resolution constraints
Describe any numerical limitations and issues

Describe available calibration data sets One test facies succession CSDMStestSection.txt and one test facies code, colour code and name file CSDMStestSectionLithoCol.txt
Upload calibration data sets if available: Media:CSDMStestSection.txt, Media:CSDMStestSectionLithoCol.txt
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing

Do you have current or future plans for collaborating with other researchers? Yes, collaboration welcome with any interested parties
Is there a manual available? No
Upload manual if available:
Model website if any
Model forum / discussion board

This part will be filled out by CSDMS staff

OpenMI compliant No but possible
BMI compliant No but possible
WMT component No but possible
PyMT component
Is this a data component
Can be coupled with:
Model info
Nr. of publications: 1
Total citations: 16
h-index: 1
m-quotient: 0.12
Qrcode OptimalCycleID.png
Link to this page




Nr. of publications: 1
Total citations: 16
h-index: 1
m-quotient: 0.12

Featured publication(s)YearModel describedType of ReferenceCitations
Burgess, Peter M.; 2016. Identifying ideal stratigraphic cycles using a quantitative optimization method. Geology, 44, 443–446. 10.1130/G37827.1
(View/edit entry)
2016 OptimalCycleID
Model overview 16
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Input Files

Output Files