Summary
| Also known as
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| Model type
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Single
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| Model part of larger framework
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| Note on status model
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| Date note status model
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Technical specs
| Supported platforms
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Windows
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| Other platform
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| Programming language
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C
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| Other program language
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| Code optimized
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| Multiple processors implemented
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| Nr of distributed processors
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| Nr of shared processors
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| Start year development
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1999
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| Does model development still take place?
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Yes
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| If above answer is no, provide end year model development
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| Code development status
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| When did you indicate the 'code development status'?
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| Model availability
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Source code availability
(Or provide future intension)
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| Source web address
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| Source csdms web address
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| Program license type
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GPL v2
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| Program license type other
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| Memory requirements
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512Mb
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| Typical run time
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5 minutes
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In/Output
| Describe input parameters
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Parameters:
- Spatial
- Temporal
- Initial 'basement' topography
- Relative sea level curve
- Climate (arid, temperate, humid)
- Latitude
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| Input format
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ASCII
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| Other input format
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| Describe output parameters
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Dynamic variables:
- water energy
- depositional (seafloor) slope
Final output:
- carbonate productivity rate
- depositional facies
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| Output format
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ASCII
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| Other output format
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| Pre-processing software needed?
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No
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| Describe pre-processing software
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| Post-processing software needed?
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Yes
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| Describe post-processing software
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A 3D visualization software package.
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| Visualization software needed?
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Yes
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| If above answer is yes
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| Other visualization software
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any visualization package that can import ASCII or Excel tables (X,Y,Z)
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Process
| Describe processes represented by the model
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Process:
- carbonate productivity and deposition
- winnowing
- reef development
- carbonate depositional facies
Model determines these through five deterministic and fuzzy steps:
- data input
- data fuzzification
- fuzzy rule analysis
- aggregation of results
- defuzzification
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| Describe key physical parameters and equations
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See above
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| Describe length scale and resolution constraints
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Model does not place any spatial constraints.
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| Describe time scale and resolution constraints
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Temporal scale and resolution determined by user. Model adjusts process and output to the temporal increment chosen by user.
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| Describe any numerical limitations and issues
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Some of the fuzzy logic methods do not produce unique results as there are a variety of method choices that best 'match' test data. For example, the user can choose a variety of aggregation methods to calculate final carbonate facies and productivity values.
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Testing
| Describe available calibration data sets
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--
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| Upload calibration data sets if available:
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| Describe available test data sets
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--
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| Upload test data sets if available:
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| Describe ideal data for testing
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--
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Other
| Do you have current or future plans for collaborating with other researchers?
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--
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FuzzyReef
Introduction
History
Papers
FuzzyReef Questionnaire
Contact Information
| Model:
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FuzzyReef
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| Contact person:
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William Parcell (Model developer)
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| Institute:
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Wichita State University
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| City:
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Wichita, Kansas
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| Country:
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USA
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| Email:
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william.parcell@wichita.edu
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| 2nd person involved:
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--
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| 3rd person involved:
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--
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Model Description
| Model type:
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Modular model for the Marine and Carbonate environment.
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| Description:
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FuzzyReef is a three-dimensional (3D) numerical stratigraphic model that simulates the development of microbial reefs using fuzzy logic (multi-valued logic) modeling methods. The flexibility of the model allows for the examination of a large number of variables. This model has been used to examine the importance of local environmental conditions and global changes on the frequency of reef development relative to the temporal and spatial constraints from Upper Jurassic (Oxfordian) Smackover reef datasets from two Alabama oil fields.
The fuzzy model simulates the deposition of reefs and carbonate facies through integration of local and global variables. Local-scale factors include basement relief, sea-level change, climate, latitude, water energy, water depth, background sedimentation rate, and substrate conditions. Regional and global-scale changes include relative sea-level change, climate, and latitude.
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Technical information
| Supported platforms:
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Windows
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| Programming language:
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C, C++
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| Model development started at:
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1999 and development still takes place.
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| To what degree will the model become available:
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--
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| Current license type:
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GPLv2
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| Memory requirements:
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512Mb
|
| Typical run time:
|
5 minutes
|
Input / Output description
| Input parameters:
|
- Spatial
- Temporal
- Initial 'basement' topography
- Relative sea level curve
- Climate (arid, temperate, humid)
- Latitude
|
| Input format:
|
ASCII
|
| Output parameters:
|
Dynamic variables:
- water energy
- depositional (seafloor) slope
Final output:
- carbonate productivity rate
- depositional facies
|
| Output format:
|
ASCII
|
| Post-processing software (if needed):
|
Yes, A 3D visualization software package.
|
| Visualization software (if needed):
|
Yes, any visualization package that can import ASCII or Excel tables (X,Y,Z)
|
Process description
| Processes represented by model:
|
- carbonate productivity and deposition
- winnowing
- reef development
- carbonate depositional facies
Model determines these through five deterministic and fuzzy steps:
- data input
- data fuzzification
- fuzzy rule analysis
- aggregation of results
- defuzzification
|
| Key physical parameters & equations:
|
see above 4/9
|
| Length scale & resolution constraints:
|
Model does not place any spatial constraints.
|
| Time scale & resolution constraints:
|
Temporal scale and resolution determined by user. Model adjusts process and output to the temporal increment chosen by user.
|
| Numerical limitations and issues :
|
Some of the fuzzy logic methods do not produce unique results as there are a variety of method choices that best 'match' test data. For example, the user can choose a variety of aggregation methods to calculate final carbonate facies and productivity values.
|
Testing
| Available calibration data sets:
|
--
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| Available test data sets:
|
--
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| Ideal data for testing:
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--
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User groups
| Currently or plans for collaborating with:
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--
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Documentation
| Key papers of the model:
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Parcell, W.C., 2003, Modeling the controls on Upper Jurassic Smackover microbial reefs with fuzzy logic computer modeling: Journal of Sedimentary Research, v. 73, p. 498-515.
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| Is there a manual available:
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No
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| Model website if any:
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http://webs.wichita.edu/?u=wparcell&p=/index
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Issues
Help
Input Files
Output Files
Download
Source |
