What is it about?
We create six lithofacies clusters inside the False River Point bar collected from five variables EC, corrected pressure, permeability, visual lithology, and grain size.
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Why is it important?
This paper provides new statistical method to interpolate limited number of grain sizes. A mixed of sediment types collected in each individual well within each individual sediment types called "hybrid model" is published for the first time to fill in gaps of the limited datasets.
Perspectives
I used a novel technique for grain size interpolation that includes: - Generalized Additive Model (GAM) to interpolate the grain size. - Hybrid model selection to optimize the grain size accuracy. - Principal Component Analysis (PCA) to control the quality of the interpolated grain size
Tamer Ali
Louisiana State University
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This page is a summary of: Quantitative identification of lithofacies by integrating diverse geophysical data in the Late Holocene False River point bar complex, Louisiana, USA, Interpretation, April 2025, Society of Exploration Geophysicists,
DOI: 10.1190/int-2024-0146.1.
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