On a new robust workflow for the statistical and spatial analysis of fracture data collected with scanlines (or the importance of stationarity)

作者: Andrea Bistacchi , Silvia Mittempergher , Mattia Martinelli , Fabrizio Storti

DOI: 10.5194/SE-11-2535-2020

关键词: Fracture (geology)Spatial analysisData miningComputer scienceNormalization (statistics)Statistical analysisWorkflowFunction (mathematics)

摘要: Abstract. We present an innovative workflow for the statistical analysis of fracture data collected along scanlines, composed two major stages, each one with alternative options. A prerequisite in our is assessment stationarity dataset, that motivated by and geological motivations. Calculating statistics on non-stationary can be statistically meaningless, moreover normalization and/or sub-setting approach we discuss here greatly improve understanding deformation processes. Our methodology based cumulative spacing function (CSF) derivative (CSD), allows defining boundaries stationary domains objective way. Once has been analysed, other methods already known literature applied. Here details aimed at degree saturation systems type distribution, evidence their limits cases where they are not supported a proper spatial analysis.

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