Stratigraphic modeling of carbonate sediment dominated margins using fuzzy logic

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  • May 15, 2019
Creator
  • Porter, Edwin
    • College of Arts and Sciences, Department of Geological Sciences
Abstract
  • Previous attempts at modeling carbonate stratigraphy have proven difficult due to the complex nature of carbonate formation; unlike siliciclastics, carbonates are both physically and biologically facilitated, therefore requiring significantly more complex equations with no added promise of producing more realistic results (Nordlund, 1999).The application of fuzzy logic to carbonate stratigraphic modeling offers some promise by circumventing these equations with the utilization of fuzzy logic, which allows for the use of IF/THEN statements in conjunction with the concept of computing with partial truths and therefore facilitates the use of less complete data sets and equations. I attempted to adapt the siliciclastic stratigraphy modeling software FuzzyPEACH (Warren, 2006) to instead produce carbonate stratigraphy, which I called FuzzyLIME. Whereas FuzzyPEACH requires only depth as a model input, I introduced temperature (another significant control on carbonate formation) as a second input variable. Additionally, I changed the structure of the model from a river channel and delta to a carbonate ramp system. I showed that while fuzzy logic continues to hold promise for stratigraphic modeling of carbonates, FuzzyLIME fails to accurately reproduce carbonate stratigraphy in all cases, and that there is too much variation between siliciclastic and carbonate systems to allow for simply altering one model for another. Therefore, better practice is to construct a new model, optimized for carbonates, from the ground up.
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Advisor
  • Hudley, Joel
Degree
  • Bachelor of Science
Academic concentration
  • Geological Sciences
Honors level
  • Honors
Degree granting institution
  • University of North Carolina at Chapel Hill
Graduation year
  • 2019
Language
  • English
Date uploaded
  • April 26, 2019

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