Variety of stylolites morphologies and statistical characterization of the amount of heterogeneities in the rock
Alexandre Brouste (LMC - IMAG), Fran\c{c}ois Renard (LGIT, PGP),, Jean-Pierre Gratier (LGIT), Jean Schmittbuhl (IPGS)

TL;DR
This paper introduces a new statistical method to analyze stylolite surface roughness, accounting for heterogeneities and irregularities, and classifies stylolites into two morphological families based on their heterogeneity.
Contribution
A novel non-stationary Gaussian model-based statistical approach for characterizing stylolite roughness and heterogeneity in rocks.
Findings
Stylolites exhibit diverse morphologies with irregular and regular portions.
The new method effectively quantifies heterogeneity and local roughness.
Stylolites can be classified into homogeneous and heterogeneous families.
Abstract
The surface roughness of several stylolites in limestones was measured using high resolution laser profilometry. The 1D signals obtained were statistically analyzed to determine the scaling behavior and calculate a roughness exponent, also called Hurst exponent. Statistical methods based on the characterization of a single Hurst exponent imply strong assumptions on the mathematical characteristics of the signal: the derivative of the signal (or local increments) should be stationary and have finite variance. The analysis of the measured stylolites show that these properties are not always verified simultaneously. The stylolite profiles show persistence and jumps and several stylolites are not regular, with alternating regular and irregular portions. A new statistical method is proposed here, based on a non-stationary but Gaussian model, to estimate the roughness of the profiles and…
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Taxonomy
TopicsMineralogy and Gemology Studies · Cultural Heritage Materials Analysis
