COMPARISON AND INTEGRATION OF FREQUENCY MULTIATTRIBUTTES IN THIN LAYER VISUALIZATION: A STRATTON FIELD CASE STUDY

THE CHOICE OF THE RIGHT WINDOW SIZE IN SPECTRAL ANALYSIS HELPS TO CAPTURE THE BEST THICKNESS VARIABILITY ASSOCIATED WITH TUNING EFFECTS IN THIN LAYERS.THIS RESEARCH IS A FIDELITY COMPARISON BETWEEN SPECTRAL DECOMPOSITION METHODS SUCH AS DISCRETE FOURIER TRANSFORM (DFT), CONTINUOUS WAVELET TRANSFORM (CWT) AND CONSTRAINED LEAST SQUARES SPECTRAL ANALYSIS (CLSSA), WHICH IS AN INVERSION- BASED ALGORITHM THAT COMPUTES SPECTRAL DECOMPOSITION. RESOLUTION OF A 'D' SAND SERIES CHANNEL IN FILL SANDSTONE WITH SPLAY DEPOSITS OF THE MIDDLE FRIO FORMATION IS SUPERIOR USING THE INVERSION METHOD AT DIFFERENT ANALYSIS WINDOWS. INTEGRATION OF THE ATTRIBUTES IS DONE IN A SYNERGISTIC MANNER TO GO BEYOND THE LIMIT OF SPECTRAL DECOMPOSITION USING MULTIVARIATE ANALYSIS TO VISUALIZE SUBTLE FEATURES. AT SMALLER SPECTRAL DECOMPOSITION ANALYSIS WINDOW AND LARGER PRINCIPAL COMPONENT ANALYSIS (PCA) WINDOWS RESPECTIVELY, RESULT SHOWS THAT THE FOURIER METHOD, THOUGH HAVING A FLUCTUATING HEISENBERG UNCERTAINTY PRODUCT AT PEAK SPECTRAL FREQUENCIES, PRODUCES AND ENHANCEMENT BEYOND THE SPECTRAL DECOMPOSITION BANDWIDTH LIMIT DUE TO STRONGER CORRELATION OF THE ATTRIBUTE FREQUENCIES AFTER AXIS ROTATION IN ITS PRINCIPAL COMPONENTS. FINALLY, THE MULTIPLICITY OBSERVED IN THE ENERGETIC TRENDS OF THE FREQUENCY SPECTRA IS COMBINED TO ENHANCE THE STRATIGRAPHIC FEATURES USING PRIMARY COLORS.